Alternatives to Sandbox0

ComputeSDK is an open-source toolkit available at no cost, specifically crafted to empower developers to execute external or user-generated code within their applications through a cohesive and standardized interface. With a TypeScript-native API, it simplifies the process by seamlessly integrating various compute providers, enabling developers to transition between platforms such as E2B, Vercel, Daytona, Modal, and others while keeping their primary codebase intact. This toolkit is constructed around isolated sandbox environments, which guarantee that the executed code operates securely without affecting the host infrastructure, thereby making it ideal for applications that necessitate controlled execution of potentially untrusted code. Additionally, ComputeSDK offers essential functionalities, including the execution of code and shell commands, filesystem management, the ability to create and dismantle sandboxes, and compatibility with modern web frameworks like Next.js, Nuxt, and SvelteKit. Furthermore, its design ensures that developers can focus on building robust applications without worrying about security vulnerabilities associated with running external code.

VMware Fusion empowers Mac users to seamlessly operate Windows alongside a variety of other operating systems and Mac applications without the need for rebooting. It caters to both casual users and IT professionals, making it versatile enough for developers and businesses alike. The capability to run Windows on a Mac is just the starting point; VMware Fusion offers access to a multitude of supported operating systems, ranging from niche Linux distributions to the latest version of Windows 10, all while coexisting with the current macOS. This software simplifies the process of testing virtually any operating system and application on a Mac, allowing users to build and evaluate applications in a controlled environment while easily sharing local files and folders. Additionally, Fusion Pro now features a RESTful API, enabling integration with contemporary development tools such as Docker, Vagrant, Ansible, and Chef, thus aligning VMware's robust functionality with the demands of modern Agile and DevOps workflows, ensuring that users can enhance their productivity effectively. By bridging the gap between different operating systems, VMware Fusion truly enriches the user experience on Mac.

Daytona is a modern cloud-based runtime designed to let developers and AI systems launch secure, isolated workspaces for any project in seconds. Each environment runs inside a lightweight microVM that includes full Linux support, networking, and persistent storage. Through Daytona’s Python and TypeScript SDKs, users can automate code execution, file uploads, and environment lifecycle management directly from their apps. By shifting development to the cloud, Daytona eliminates the need for complex local setups and enables fully reproducible sandboxes accessible via SSH, APIs, or live preview URLs. Built for speed, automation, and scalability, it supports everything from simple prototypes to production-grade agent workloads.

Sprites by Fly.io is a stateful sandbox environment platform designed to run arbitrary code in isolated Linux computers. Each Sprite is a hardware-isolated execution environment that can persist across runs, making it useful for AI agents, uploaded binaries, developer tools, and application workloads. The platform is built around checkpoint and restore, allowing workloads to pause, resume, and keep state instead of rebuilding the environment repeatedly. Sprites provide a fast NVMe filesystem that syncs continuously to durable external object storage. This tiered storage approach gives users compatibility with normal Linux filesystem behavior while only charging for the data they actually use. Developers can start with the Sprites CLI by logging in, creating a Sprite, executing commands, and connecting to the console. The platform also supports REST API access and SDKs for JavaScript, Go, Elixir, and Python. Pricing is usage-based across CPU time, memory time, hot storage, and cold storage. By combining sandbox VMs, persistent filesystems, checkpointing, APIs, network policy, and pay-as-you-go pricing, Sprites gives developers a practical runtime for AI agents and untrusted code execution.

As you navigate the internet, your device faces potential malware threats, making advanced appliance-based sandboxing an invaluable resource. A sandboxing tool acts as a shield, confining viruses and malware within a controlled virtual space. SHADE Sandbox enables the safe execution of potentially harmful code without jeopardizing the integrity of your network or the host device. This program establishes a segregated environment, proving to be the leading shareware sandboxing solution available. By downloading and installing SHADE Sandbox, you can enhance protection against previously undetected cyber threats, particularly elusive malware. The remarkable feature of a sandbox is that any activity conducted within it remains contained, thereby preventing system failures and halting the spread of software vulnerabilities. With SHADE Sandbox, you not only protect your PC but also gain peace of mind in your online activities, ensuring a safer browsing experience.

InstaVM offers a robust production sandbox and cloud solution designed specifically for AI agents, equipping them with immediate access to computing resources including runtime, storage, networking, secrets, and policy management. Unlike traditional sandboxes, it utilizes hardware-isolated virtual machines instead of containers, ensuring that teams can provide AI agents with secure environments that feature complete Linux filesystems, networking capabilities, package management, RESTful API access, and the ability to maintain persistent states. The platform's support for snapshots enables users to create forks of any sandbox and revert to previous states, while its persistent volumes ensure that data is retained across executions. Additionally, egress control allows teams to manage which connections can be made externally, and features like secrets injection and Vault work to safeguard sensitive information from potential prompt injections. Moreover, public URL deployments can make any port accessible on the public web, enhancing its versatility. It is specifically tailored for various agent patterns, including code interpreters, deployment agents, deep research agents, AI evaluations, reinforcement learning applications, computer usage, and vibe coding applications, making it a comprehensive tool for developers. With its innovative architecture and extensive features, InstaVM solidifies its position as a leading solution for AI-driven projects.

You can now effectively manage your temporary one-day resources within the CloudSandboxes environment, allowing for significant savings of up to 80%. To oversee the resources generated during a demonstration, it's essential to monitor them closely. Set up these one-day resources in a dedicated sandbox environment, where CloudSandboxes will handle the cleanup process at the end of each business day. As the demand for cloud-certified professionals increases, preparation for certification exams can be facilitated in a safe and cost-effective sandbox solution. The resources established for this purpose will be thoroughly cleaned up by CloudSandboxes, ensuring a tidy environment. Additionally, architects can experiment with cloud resources prior to their integration into user stories, utilizing these temporary assets within the sandbox solution to prevent clutter in development and testing environments. CloudSandboxes will securely manage the closure of your one-day resources, and there are no limitations on how you can utilize the platform. With CloudSandboxes, you can efficiently oversee all your temporary resources and rest assured that they will be properly handled when the day comes to a close. This approach not only optimizes resource management but also enhances overall productivity in cloud operations.

The Agents API enables developers to create and operate cloud agents utilizing the same framework and infrastructure that supports Codex, all under the management of OpenAI. By making a simple API request, users can establish a fully operational agent by defining the specific task, model, tools, and environment, with OpenAI overseeing the agent's infrastructure. Developers have the flexibility to select where their agents are deployed: whether in an OpenAI-managed sandbox, on personal servers, or via authorized sandbox partners. The OpenAI-managed sandboxes offer secure environments for agents to execute code, interact with files, utilize packages, skills, and plugins, and generate outputs. Designed for tasks that require extended operation, the API features automatic context compaction to retain pertinent information across multiple context windows within sessions. Additionally, the tool search function efficiently loads relevant definitions only as needed, while programmatic tool invocation allows agents to execute calls simultaneously, chain related tasks, and filter or merge results seamlessly in code. This comprehensive approach not only enhances efficiency but also empowers developers to create more sophisticated applications.

Sandboxie is a software that offers sandbox-based isolation for 32- and 64-bit Windows NT-based systems. It has been under the development of David Xanatos since its transition to open-source status; prior to that, it was managed by Sophos, which obtained it from Invincea, the company that previously acquired it from its original creator, Ronen Tzur. By creating an isolated operating environment, Sandboxie allows users to run or install applications without making permanent changes to the local or mapped drives. This virtual isolation enables safe testing of untrusted applications and secure web browsing. Following its open-source release, Sandboxie is available in two versions: the classic build featuring a MFC-based user interface and the Plus build that comes with enhanced features and a completely new Q't based interface. Most of the new functionalities are directed towards the Plus version, but many can also be accessed in the classic version by modifying the sandboxie.ini file. This flexibility makes it easier for users to benefit from updates while still maintaining a preference for the traditional interface.

Falcon Sandbox conducts comprehensive analyses of elusive and unfamiliar threats, enhancing findings with threat intelligence and providing actionable indicators of compromise (IOCs), which empowers security teams to gain insight into complex malware assaults and fortify their defenses. Its distinctive hybrid analysis capability identifies unknown and zero-day vulnerabilities while countering evasive malware. By revealing the complete attack lifecycle, it offers detailed insights into all activities related to files, networks, memory, and processes. This tool streamlines processes and boosts the effectiveness of security teams through straightforward reports, actionable IOCs, and smooth integration. In today's landscape, where sophisticated malware poses significant risks, Falcon Sandbox’s Hybrid Analysis technology reveals concealed behaviors, combats evasive malware, and generates an increased number of IOCs, ultimately enhancing the overall efficiency and resilience of the security framework. By leveraging such tools, organizations can stay one step ahead of emerging threats and ensure robust protection against advanced cyber risks.

Allow your clients to experience your WordPress solutions in a tailor-made sandbox environment prior to making a purchase. With both front-end and back-end fully adaptable, it's an ideal solution for WordPress developers, designers, and agencies looking to provide clients with an immersive experience of their backend demos. Customer support teams also appreciate this feature, as it enables them to swiftly identify issues and communicate their findings with the team using a straightforward, shareable link. Offer your customers the opportunity to engage with comprehensive WordPress sandbox demo sites — equipped with your plugins and themes and personalized to your specifications. You can easily generate complete WordPress sites that provide both front-end interfaces and secure backend access, all through a single simple link, ensuring a seamless experience for everyone involved. This approach not only showcases your work but also builds trust with potential clients by allowing them to explore the functionality firsthand.

Zunoy Sandbox serves as a platform for developers to conduct tests on various communication methods such as email, SMS, webhooks, OTP, and TOTP/MFA flows, all while ensuring that no test data reaches actual users or production environments. By integrating their current SMTP clients, SMS APIs, or webhook endpoints into the Sandbox, developers can monitor the resulting events within a secure testing framework. When it comes to email testing, the Sandbox offers dedicated inboxes that allow teams to analyze HTML content, email headers, attachments, links, and details related to delivery. For SMS testing, it facilitates OTP and transactional message flows via REST APIs, configurable sender IDs, and customizable templates. Additionally, the webhook testing capability provides distinct endpoints for capturing and analyzing JSON payloads in real time, with features to replay events and categorize them by project. Furthermore, the TOTP/MFA functionality can produce time-sensitive authentication codes derived from secrets or QR codes, enabling developers to test login and verification processes without relying on a physical authenticator, thus enhancing the testing experience significantly.

Eve serves as a framework for creating agents, akin to how Next.js functions for web applications, offering a specialized environment for agent development. It employs Markdown to articulate instructions and skills, while TypeScript is utilized for implementing tools, ensuring durable execution by default. An agent is essentially a directory that outlines its instructions and skills using Markdown, defines tools through TypeScript, and facilitates deployment. Eve meticulously compiles this directory, orchestrates durable workflows, and integrates various channels, providing developers with a systematic approach to construct production-ready agents without the need to piece together disparate solutions. An instructions.md file can represent a fully functional agent, and the agent.ts file empowers teams to select a model or adjust the runtime configuration. Skills can be reused as Markdown playbooks that are loaded when needed, allowing the agent to receive targeted guidance without the burden of carrying unnecessary information in every prompt. Tools are introduced as TypeScript files, with their filenames serving as the tool names, eliminating the requirement for any registration process. Each agent operates within its own isolated sandbox and includes file tools, and there is also the option for custom sandbox configurations, enhancing flexibility for developers. This robust framework not only streamlines agent creation but also fosters innovation by allowing developers to focus on building unique functionalities.

BrowserPod serves as a virtual machine that operates directly within the browser environment. Its API offers a streamlined Linux kernel, effectively replacing costly and intricate cloud setups by shifting server operations to the user's browser through WebAssembly technology. This innovative tool allows developers to create isolated environments for AI applications, develop tools, and generate documentation without relying on cloud computing resources. It plays a significant role in broader enterprise transformation initiatives that focus on minimizing cloud expenses and reliance. Rather than investing in expensive cloud servers, BrowserPod enables users to run comprehensive workloads right in their browser tabs. Each pod is temporary, designed to adhere to the browser's security protocols, and operates independently from the host OS through a specific syscall layer. With the support of the Linux kernel, BrowserPod ensures compatibility across various native runtimes, including popular languages such as Node.js, Rust, Python, Ruby, and Go, making it a versatile choice for developers. This flexibility enhances the user experience by allowing seamless transitions between different programming environments.

The Avira Cloud Sandbox is a highly acclaimed automated malware analysis service that operates at an unlimited scale. By integrating various sophisticated analysis technologies, it provides a comprehensive threat intelligence report for any uploaded file. With the Cloud Sandbox API, users receive a thorough and file-specific threat intelligence report that offers critical, actionable insights. This report includes an in-depth classification of the file, details regarding the tactics, techniques, and procedures (IoCs) associated with the threat, and an explanation of the reasoning behind the file's classification as clean, malicious, or suspicious. Leveraging the advanced technologies of the Avira Protection Cloud, the service forms the backbone of Avira’s anti-malware and threat intelligence offerings. Additionally, through strategic OEM technology partnerships, Avira safeguards numerous prominent cybersecurity vendors, thereby protecting nearly a billion individuals globally. This extensive reach underscores the significance of Avira's contributions to online safety and security.

CodeSandbox aims to make it easier for you to express your ideas with code, and to validate them. It also removes the hassles of setting up development tooling and sharing your project. Join us to help build the future of web coding. Over 4M developers use the platform each month. This includes organizations like Shopify and Atlassian. Since its launch, creators have created over 35M apps. It's used in thousands of open-source projects like React, Vue and Babel. You can invite your friends, colleagues, or team to join you or simply view your creation by using a URL. Use any of 1M+ packages for building real, powerful applications quickly and efficiently. Import and run repos directly from GitHub or choose from hundreds of templates to start in seconds. Boxy, CodeSandbox's AI-powered coding assistant, is now available to all Pro subscriptions.

You can submit any questionable file to Cuckoo, and within minutes, it will generate a comprehensive report detailing the file's behavior when run in a realistic yet secured environment. Malware serves as a versatile tool for cybercriminals and various adversaries targeting your business or organization. In our rapidly changing digital landscape, simply detecting and eliminating malware is insufficient; it is crucial to comprehend how these threats function to grasp the context, intentions, and objectives behind a security breach. Cuckoo Sandbox is an open-source software solution that automates the analysis of malicious files across multiple platforms, including Windows, macOS, Linux, and Android. This sophisticated and highly modular system offers numerous possibilities for automated malware analysis. You can evaluate a wide array of harmful files, such as executables, office documents, PDF files, and emails, as well as malicious websites, all within virtualized environments tailored for different operating systems. Understanding the operation of these threats can significantly enhance your organization's cybersecurity measures.

In contrast to earlier viruses that were relatively simple and few in number, traditional antivirus solutions could adequately safeguard systems using a database of signatures. However, the landscape of modern malware has evolved, incorporating advanced techniques like exploiting vulnerabilities. When a weakness in a trusted application is exploited, it can lead to unexpected behavior, which attackers leverage to breach computer security. This method of attacking through an undisclosed software vulnerability is referred to as a zero-day attack, or 0-day attack, and prior to the adoption of sandboxing, effective prevention methods were lacking. A malware sandbox serves as a protective mechanism that restricts an application's operations, such as handling a Word document, within a controlled environment. This isolated space allows the sandbox to scrutinize the dynamic behaviors of applications and their interactions in a simulated user setting, thereby revealing any potential malicious activities. Such technology has become essential in the fight against sophisticated threats, ensuring a more comprehensive approach to cybersecurity.

ANY.RUN is a cloud-based interactive sandbox designed to support DFIR and SOC teams in investigating cybersecurity threats. With support for Windows, Linux, and Android environments, it allows users to analyze malware behavior in real time. Trusted by more than 500,000 professionals, ANY.RUN enables teams to detect threats faster, handle more alerts, and collaborate effectively during malware investigations. Visit the official ANY.RUN website to explore more.

Archestra serves as an open-source, self-hosted AI platform designed for the deployment and management of agents within an organization. It features agentic chat functionalities tailored for non-developers, along with applications, skills, collaborative projects, a server-side agent runtime, MCP orchestration, permission-aware RAG, LLM and MCP proxies, security guardrails, and comprehensive observability, all integrated into a single platform. Users can authenticate through SSO, ensuring that every tool interaction occurs under the individual’s personal identity rather than through a common service account. Projects are organized to consolidate chats, files, scheduled tasks, and instructions, while agents operate within isolated containers, triggered by schedules, emails, or webhooks. MCP servers are hosted within the organization's Kubernetes environment, navigating through security-reviewed promotion processes that enforce distinct credentials and network policies. Furthermore, knowledge bases can interface with Confluence, Jira, drives, and internal documents while maintaining source-system ACLs, ensuring that users can access only the content for which they possess permissions. This comprehensive suite of features makes Archestra an invaluable resource for organizations looking to streamline their AI deployments and governance.

NayaOne serves as a vital entry point into the realm of financial technology, featuring an innovative Sandbox as a Service platform designed to enable institutions to rapidly develop, implement, and assess digital solutions with unparalleled security and efficiency. The integration of emerging technologies with established banking infrastructures frequently poses considerable technical obstacles. Embracing these advancements necessitates upholding the highest levels of data protection and adherence to regulatory requirements. Expanding a business through innovative avenues is fraught with risks, and often, these transformations depend on third-party technology. Additionally, NayaOne's approach not only streamlines this process but also enhances collaboration among various stakeholders in the financial ecosystem.

The software utilized within an organization's IT framework significantly affects both team efficiency and overall business performance. However, if the software does not align with the existing corporate infrastructure or is incompatible, it may lead to the emergence of Shadow IT, which poses risks such as software contamination and potential system failures. Apptimized SafeBox offers a solution by providing a managed sandbox environment in the cloud that accommodates various non-standard workloads tailored to your specific requirements. With cloud-native safeboxes, you can effectively assess, test, evaluate, and package software before deployment on your devices, ensuring compatibility and performance. All data generated using SafeBox and your installed applications will be retained for as long as necessary. Additionally, SafeBox features a snapshot capability that enables you to switch between different states, setups, and configurations seamlessly. Should you need to return to a previous or intermediate state, you can easily restore it from a snapshot, thus simplifying the management of software installations and configurations.

E2B is an open-source runtime that provides a secure environment for executing AI-generated code within isolated cloud sandboxes. This platform allows developers to enhance their AI applications and agents with code interpretation features, enabling the safe execution of dynamic code snippets in a regulated setting. Supporting a variety of programming languages like Python and JavaScript, E2B offers software development kits (SDKs) for easy integration into existing projects. It employs Firecracker microVMs to guarantee strong security and isolation during code execution. Developers have the flexibility to implement E2B on their own infrastructure or take advantage of the available cloud service. The platform is crafted to be agnostic to large language models, ensuring compatibility with numerous options, including OpenAI, Llama, Anthropic, and Mistral. Among its key features are quick sandbox initialization, customizable execution environments, and the capability to manage long-running sessions lasting up to 24 hours. With E2B, developers can confidently run AI-generated code while maintaining high standards of security and efficiency.

Symantec Content Analysis efficiently escalates and manages potential zero-day threats through dynamic sandboxing and validation prior to distributing content to users. It enables the analysis of unknown content from a unified platform. By utilizing Symantec ProxySG, this malware analyzer adopts a distinctive multi-layer inspection and dual-sandboxing strategy to uncover malicious activities and identify zero-day threats, while also ensuring the safe detonation of dubious files and URLs. With its comprehensive multi-layer file inspection capabilities, Content Analysis significantly enhances your organization’s defenses against both known and unknown threats. Suspicious or unidentified content originating from ProxySG, messaging gateways, or various other tools is routed to Content Analysis for thorough examination, interrogation, analysis, and potential blocking if classified as harmful. Recent improvements to Content Analysis have further fortified the platform, making it more resilient against evolving cyber threats. This ongoing enhancement ensures that organizations remain a step ahead in their security measures.

AgentComputer is an innovative cloud infrastructure platform tailored for operating AI agents in secure and fully operational virtual spaces. It offers "cloud computers" as lightweight Ubuntu-based sandboxes that can be set up in less than a second, enabling developers to swiftly create, access, and control their environments through a command-line interface. These virtual spaces come with persistent storage, ensuring that any installed applications, files, or settings are preserved even after restarts, which facilitates ongoing and consistent workflows. The platform is founded on an agent-first design, allowing AI agents to perform tasks directly within these spaces via SSH, which reduces the barriers between issuing commands and executing them. Furthermore, it features a built-in AI harness that accommodates various agents, including Claude, Codex, and additional coding assistants, thus promoting seamless collaborative multi-agent operations within the same environment. This integration not only enhances productivity but also streamlines the development process for AI-driven projects.

Are you exhausted from the complexities of high-level malware analysis? Engage in one of the most comprehensive analyses available, whether fully automated or manual, covering static, dynamic, hybrid, and graph analysis techniques. Instead of limiting yourself to a single approach, leverage the strengths of various technologies such as hybrid analysis, instrumentation, hooking, hardware virtualization, emulation, and artificial intelligence. Explore our detailed reports to witness the distinctive advantages we offer. Conduct in-depth URL analyses to identify threats like phishing, drive-by downloads, and tech scams. Joe Sandbox employs a sophisticated AI-driven algorithm that utilizes template matching, perceptual hashing, ORB feature detection, and more to uncover the malicious exploitation of legitimate brands on websites. You can even upload your own logos and templates to enhance detection capabilities further. Experience the sandbox's features through Live Interaction directly in your browser, allowing you to navigate intricate phishing campaigns or malware installers. Evaluate your software against vulnerabilities such as backdoors, information leaks, and exploits through both Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST). With these tools at your disposal, you can ensure a robust defense against ever-evolving cyber threats.

Composio is an advanced platform designed to empower AI agents with the ability to execute real-world tasks across multiple applications. It connects agents to over 1,000 tools, enabling seamless interaction with platforms like Slack, Gmail, Notion, and GitHub. The platform automates key processes such as authentication, permission management, and tool execution, reducing development complexity. Composio uses intelligent tool selection to match user intent with the appropriate actions, improving accuracy and efficiency. It also provides secure sandbox environments where workflows can run safely and independently. Developers can create multi-step workflows and automate complex tasks with minimal setup. The platform supports parallel execution, allowing agents to perform multiple operations simultaneously. Composio is model-agnostic, enabling flexibility in choosing AI models without reworking integrations. Its context-aware sessions ensure agents maintain continuity across tasks and interactions. Overall, Composio transforms AI agents into fully functional systems capable of executing real-world workflows.

OpenComputer provides a cloud-based platform designed specifically for creating and launching TypeScript AI agents. Developers can customize the behavior of these agents, choose from various models and tools, and deploy them with features like persistent sessions, real-time data streaming, scheduled tasks, memory management, and version-controlled environments. Furthermore, the integration of APIs and service connections enables teams to seamlessly incorporate these agents into their applications and workflows, facilitating tasks like coding support and automated background processes. This flexibility allows for a diverse range of applications, enhancing productivity and efficiency in software development.

MoQuality serves as a comprehensive environment for conducting end-to-end UI testing on both Android and iOS applications. It facilitates the development of stable Appium tests, eliminating issues with unreliable test outcomes. Seamlessly integrating into continuous testing workflows, it consolidates all testing artifacts—including tests, builds, and reports—into a single user-friendly dashboard. The platform also produces visual test reports that aid in both triaging and maintaining tests. Additionally, MoQuality offers enhanced capabilities built on the Appium open-source framework. Users can write their Appium tests using languages such as Python, Java, and JavaScript (wd/webdriverio). With MoQuality, you can develop and troubleshoot your Appium scripts in real time. The testing can be performed locally on actual devices, emulators, or simulators. Test reports generated reflect the outcomes of test executions and can be saved by users for future reference. You have the flexibility to run your Appium tests locally as often as necessary. Furthermore, MoQuality is compatible with a wide range of real devices, emulators, and simulators for both Android and iOS platforms. There are no limitations on the number of users per license, allowing you to easily invite all your team members to access and collaborate on the test reports. This collaborative feature enhances team productivity and ensures everyone is informed about testing progress.

Comodo Advanced Endpoint Protection delivers an exceptional anti-malware suite that actively safeguards your servers, workstations, laptops, and netbooks, while also providing sophisticated, real-time oversight and management of essential system resources. It can be utilized either as a comprehensive security package or as a standalone sandbox to enhance existing antivirus solutions, making Comodo ESM a top choice for endpoint protection on Microsoft Windows servers, desktops, laptops, and tablets. The complete Comodo Endpoint Security suite boasts five layers of defense—Antivirus, Firewall, Host Intrusion Prevention, Auto-Sandbox, and File Reputation—directly at the user level on the desktop. Its innovative auto-sandbox technology effectively prevents malware infections and operating system damage by executing untrusted processes in a segregated environment. Furthermore, Comodo's endpoint protection is distinguished as the only managed anti-malware solution that offers a limited warranty of $5,000 against malware infections, affirming its commitment to security. This combination of advanced features ensures that users have a robust and reliable defense against evolving cyber threats.

Calljmp is a developer-first AI runtime for building and running long-lived, stateful agent workflows in production. Unlike AI agent frameworks that focus mainly on authoring logic in code, Calljmp provides a managed runtime that handles execution concerns by default. This includes durable state persistence, pause and resume for human-in-the-loop workflows, safe retries with idempotency, and built-in observability across every step of an agent’s execution. Calljmp is designed for teams using TypeScript who want to ship production-grade AI systems without stitching together queues, databases, custom state machines, and monitoring infrastructure. Developers write agent workflows as code, while the runtime guarantees reliable execution over time, even across crashes, restarts, and long waits. Calljmp targets the gap between developer-first agent frameworks and heavy workflow engines, offering a practical path from prototype to production for real-world AI agents.

V-OS represents the fundamental patented technology developed by V-Key, functioning as a virtual secure element. This technology acts as a secure sandbox integrated within a native mobile application for iOS or Android, establishing a protected environment for storing data and executing cryptographic operations separately from the main application. In this presentation, we will provide an overview and a detailed explanation of the essence of our V-OS technology. By leveraging V-OS as the security backbone of your mobile application, your organization can create a diverse array of solutions that are secure, reliable, scalable, and tailored to your specific business requirements. Additionally, V-OS features advanced tamper detection and responsive mechanisms, a patented cryptographic virtual machine, and compliance with standards such as FIPS 140-2 Level 1 and Common Criteria EAL3+. This technology significantly reduces total ownership costs while enabling quicker market entry through seamless over-the-air updates. Moreover, it offers a flexible and extensible SDK framework, allowing businesses to eliminate the burdensome reliance on expensive hardware. Ultimately, V-OS empowers organizations to innovate confidently and securely in the digital landscape.

NVIDIA OpenShell serves as an open and secure runtime environment specifically designed for autonomous AI agents, regulating their execution, access rights, and the pathways for inference traffic. Instead of embedding security within the model or application, it maintains safety measures in the surrounding environment, meaning that nothing is allowed by default; permissions are assigned through established policies, and enforcement mechanisms operate outside the agent process to prevent any circumvention via prompts. Each autonomous agent operates within a confined sandbox, which restricts direct network connectivity, limits file access, and implements kernel-level monitoring of system calls to ensure rigorous oversight. Acting as the control plane, a gateway is responsible for user authentication, lifecycle management of sandboxes, and the provision of policies, settings, credentials, and inference configurations to the agents. Additionally, a supervisor operates externally to each sandbox, scrutinizing network requests according to policies at various levels—including binary, destination, method, and path—and only grants access to credentials when explicitly permitted, thus enhancing the overall security framework. This layered architecture ensures that the agents function effectively while maintaining robust security protocols throughout their operations.

Apozy Airlock. The browser endpoint detection platform and response platform that neutralizes all web attacks in just one click. The Internet can be dangerous. It doesn't have it to be. Airlock plugs the gap in the EPP/EDR. It protects your browser and delivers a safe, secure, and lightning-fast internet connection. Airlock is powered by the first visually-aware native browser isolate platform with over 6 petabytes visual data. It prevents web attacks in real-time. Airlock stops spearfishing from happening. Airlock's technology protects anyone clicking on malicious links by sandboxing them.

Flue is an innovative agent framework designed for creating robust AI agents utilizing a customizable TypeScript environment. Developed by the creators of Astro, it incorporates a React-like hooks API for constructing agent functionalities, including persistent state, lifecycle events, various models, tools, sandboxes, subagents, skills, and MCP servers within the codebase. These agents maintain state and can be addressed via HTTP, preserving context throughout interactions and adapting their abilities as tasks evolve. Flue ensures that every session is logged in a reliable stream, allowing for the recovery of accepted tasks even after crashes, restarts, or deployments; this means that interrupted sessions can seamlessly resume, and clients can reconnect without needing to start anew. Developers have the flexibility to operate agents locally, through continuous integration, from their own backend systems, or coordinate them using platforms like Cloudflare Workflows and Inngest. The secure sandboxes allow agents to execute commands, modify files, and perform meaningful tasks, while integrated tools facilitate connections to various APIs and data sources. Flue is powered by Pi and offers compatibility with multiple LLM providers, enabling teams to select the models that best suit their needs. Ultimately, this framework empowers developers to create versatile AI agents that can adapt to changing requirements and environments.

NullClaw is a highly efficient, ultra-lightweight AI assistant framework crafted in Zig and distributed as a single static binary, enabling it to operate seamlessly on nearly any type of hardware. Its focus is on delivering exceptional performance while minimizing resource consumption, as evidenced by its compact size of approximately 678 KB and a typical RAM usage of around 1 MB, with boot times of less than two milliseconds. By steering clear of traditional runtime overhead associated with virtual machines, interpreters, and complicated dependency chains, it allows developers to deploy agents effortlessly by executing the compiled binary. In spite of its minimal footprint, NullClaw boasts a comprehensive autonomous agent architecture that accommodates over 22 model providers, 18 communication channels, hybrid vector and FTS5 memory, as well as capabilities for streaming, voice, and multi-layer sandboxing. Moreover, security features are inherently integrated, including workspace scoping, explicit command allowlists, encrypted secrets, and robust sandbox isolation through tools like Landlock, Firejail, or Docker. Its design ensures that users can trust the integrity and functionality of their autonomous agents while maximizing efficiency across various applications.

Epho transforms coding agents into a versatile API, enabling developers to execute Claude Code, Codex, or OpenCode in secure cloud sandboxes via a singular HTTP endpoint. Users can submit prompts, select a harness and model, link repositories and files, connect to MCP servers, and provide environment variables or provider credentials; Epho will then initiate the environment, replicate the code, integrate the necessary tools, and stream the agent's progress in real-time. The system supports both synchronous runs, which can deliver live events, tool calls, edits, final outputs, and artifacts, as well as asynchronous execution featuring polling and webhooks. Importantly, chat sessions are persistent, allowing subsequent interactions to continue from the same filesystem, checkout, agent session, system prompt, model, and MCP setup, even in the absence of the original sandbox. It accommodates private repositories from GitHub, GitLab, and Bitbucket, with agents capable of reading code, implementing changes, executing tests, and refining errors similarly to a local environment. Furthermore, every event is securely stored, ensuring that interrupted streams can reconnect seamlessly without any loss of data during a run. This robust architecture not only enhances productivity but also fosters a more efficient coding workflow.

StateFabric is a compact infrastructure layer designed for AI agents that require additional context beyond just the chat history. When an agent begins to utilize tools and operates over extended sessions without restarting, relying solely on retained messages is insufficient; it becomes essential to track the following aspects: what events transpired, what changes occurred in the state, which tools were utilized, and what context should be factored into the upcoming model iteration. To address these needs, StateFabric maintains an append-only event log throughout agent operations, enabling the extraction of relevant context from this data. Currently, it offers a range of features, including durable session management and event storage, user/model/tool event timelines, the ability to reconstruct session states from recorded events, and a streamlined model-facing context. Additionally, it includes a user-friendly dashboard for analyzing sessions, inspecting raw payloads, reviewing compaction artifacts, and monitoring usage patterns. Furthermore, StateFabric supports integration with Google ADK through the package @statefabric/adk and facilitates direct usage in Node/REST environments via @statefabric/client, making it adaptable for custom runtimes. This versatility ensures that AI agents can operate more efficiently and effectively in complex environments.

AP Lens is a Sandbox Browser designed to enhance network security through DNS Whitelisting, effectively preventing attacks from penetrating the network. What features does AP Lens offer? - Web Filtering: Offers adaptable and user-friendly options for content blocking. - Anti-Phishing: Eliminates look-alike domains with complete precision. - Ransomware Protection: Safeguards the network while allowing business applications to function smoothly. - Secure Remote Work: Implements internet usage policies efficiently without the delays associated with VPNs. - No More 0-Day Attacks: Overcomes the limitations of traditional blacklisting through the AP Lens Augmented Whitelist. - Compliant: Aligns with regulatory standards set forth by cybersecurity insurance policies. - One-Click Installation: Allows for quick setup without requiring extensive user intervention or updates. - No Maintenance: Prevents malware and phishing threats without the need for ongoing oversight. With a foundation built on over 20 years of expertise in cybersecurity, cloud security, and information protection across various sectors, including private banking and public services, our team is equipped to address the evolving challenges in digital security.

Secure Malware Analytics, previously known as Threat Grid, merges cutting-edge sandboxing technology with comprehensive threat intelligence to safeguard organizations against malware threats. By leveraging a rich and extensive malware knowledge repository, users can gain insights into the actions of malware, assess its potential risks, and formulate effective defense strategies. This solution efficiently scrutinizes files and detects unusual activities throughout your systems. Security personnel benefit from detailed malware analytics and actionable threat intelligence, enabling them to understand a file's behavior and swiftly address any emerging threats. Secure Malware Analytics evaluates a file's activity in comparison to millions of samples and countless malware artifacts. It effectively pinpoints critical behavioral indicators linked to malware and their corresponding campaigns. Additionally, users can harness the platform's powerful search functionalities, correlations, and comprehensive static and dynamic analyses to enhance their security posture. This comprehensive approach ensures that organizations remain vigilant and prepared against evolving malware challenges.

The Sandbox Analyzer is capable of identifying advanced zero-day threats before they are executed. Any files deemed suspicious are swiftly uploaded to a secure on-premises environment or a Bitdefender-managed cloud sandbox for thorough behavioral analysis. Developed using proprietary machine learning and behavioral heuristic models, the Sandbox Analyzer serves as a robust forensic tool that works alongside Endpoint Detection and Response (EDR) systems to bolster an organization’s defenses against hidden, sophisticated threats. This tool not only provides validation but also enhances visibility and guides focused investigations, ultimately leading to more efficient threat containment. By detonating payloads in either Bitdefender’s cloud platform or a secure virtual environment designated by the customer, the technology conducts an extensive analysis of suspicious files. The sandbox environment mimics a 'real target' to ensure that malware behaves as it would in a natural setting. After the analysis is complete, the necessary measures are implemented to effectively eliminate the threat, ensuring a comprehensive approach to cybersecurity. This proactive strategy is essential for maintaining robust security in today's constantly evolving threat landscape.

Our innovative sandbox technology securely isolates unfamiliar files in a controlled environment, while our Valkyrie system analyzes their behavior in real-time, ensuring your protection against malware that may not yet be recognized by the industry. Additionally, our hot spot protection feature encrypts all data transmitted over both wired and wireless internet connections, allowing up to 10GB of secure usage each month. The Secure Shopping function empowers users to conduct online shopping and banking with utmost confidence, utilizing breakthrough technology that confines your browser within a safe container, impervious to hacking, tracking, or prying eyes of malware and cybercriminals. Furthermore, this comprehensive solution identifies and eradicates any lingering malware on your PC, effectively detects and removes spyware threats, and prevents malicious software from transforming your computer into a compromised device. It also safeguards essential system files and stops malware before it can be installed, providing advanced defenses against complex buffer overflow attacks. Ultimately, this multi-layered approach ensures your digital interactions remain safe and your devices protected from emerging threats.

21st is a development platform designed to help engineers quickly build and deploy AI agents inside their applications. The platform provides a specialized SDK that simplifies the process of defining agent behavior, integrating tools, and connecting AI models. Developers can create agents using familiar technologies such as Next.js, React, TypeScript, Python, and Node.js, making integration straightforward for modern applications. Once an agent is defined, the platform allows it to be deployed with a single command while automatically handling infrastructure requirements. 21st provides sandboxed execution environments through E2B sessions, ensuring that agent operations run securely and independently. The platform includes a ready-to-use chat interface component that can be embedded directly into an app for user interaction. Additional features include token streaming, conversation history, tool execution, and built-in observability for debugging and monitoring. Developers can replay sessions and trace tool calls to better understand how agents behave during execution. The system also supports spend limits, authentication controls, and rate limiting to manage AI usage across users. By combining development tools with managed infrastructure, 21st helps teams launch scalable AI agents without building complex backend systems.

AGBCLOUD is a cloud-based sandbox platform designed for AI that offers developers and organizations secure and isolated environments to create and manage autonomous software agents. This platform provides agents with fully-equipped cloud development environments that facilitate multilingual code generation, compilation, and debugging through easily accessible browser sandboxes. By allowing advanced functionalities such as web browsing, computer interactions, and data analysis, AGBCLOUD ensures that AI systems can engage with files, applications, and the internet safely within a controlled space. Furthermore, it incorporates plug-and-play MCP tools alongside LLM-driven analytics to convert raw data into meaningful insights and dynamic applications. The sandbox architecture supports cross-platform capabilities, enabling agents to transition effortlessly between coding, browsing, and system-level tasks, all while upholding stringent security and isolation measures. This versatility opens up new possibilities for developers seeking to enhance their AI solutions.

ZeroClaw is a framework for autonomous AI agents developed in Rust, tailored for teams that need a rapid, secure, and highly customizable agent infrastructure. This framework is crafted as a streamlined, production-ready runtime that initiates promptly, operates efficiently, and scales seamlessly through various providers, channels, memory systems, and tools. With a trait-based architecture at its core, ZeroClaw empowers developers to easily switch model backends, communication protocols, and storage solutions simply by adjusting configurations, which minimizes vendor lock-in and enhances maintainability over time. Its design prioritizes a minimal resource footprint, being packaged as a single binary of roughly 3.4 MB and achieving startup times of less than 10 milliseconds while maintaining low memory consumption, making it ideal for servers, edge devices, and low-power systems. Security is inherently prioritized, featuring built-in sandbox controls, filesystem restrictions, allowlists, and encrypted handling of secrets, all activated by default. This combination of agility, efficiency, and robust security measures positions ZeroClaw as a leading choice for teams looking to implement cutting-edge AI solutions.