Best IT Security Software for Google Cloud Platform - Page 20

Reclaim Security is an advanced cybersecurity platform powered by artificial intelligence, designed to autonomously detect and rectify security vulnerabilities within an organization’s current security framework and tools. Rather than merely identifying weaknesses or sending out alerts, it emphasizes automated remediation, enabling security teams to efficiently address misconfigurations, apply security policies, and mitigate risks with minimal manual effort. The platform conducts thorough scans of the organization’s security apparatus, encompassing cloud services, identity management systems, endpoint protection mechanisms, and other defensive measures to uncover deficiencies, poorly configured settings, or ineffective controls that could be targeted by cybercriminals. When vulnerabilities are identified, it evaluates them against real-world attack methodologies and prioritizes the most critical threats. Following this assessment, it suggests appropriate remediation strategies and can automatically implement those adjustments once approved, ensuring that security configurations are consistently optimized and resilient against potential attacks. By streamlining the remediation process, Reclaim Security enhances the overall security posture of an organization.

Raven is an innovative runtime application security platform that safeguards cloud-native applications by functioning internally during execution instead of depending on external security measures. By providing real-time insights into the actual operation of code, it can comprehend execution flows, libraries, and behaviors at the function level, which aids in identifying and averting malicious activities before they manifest. In contrast to conventional tools like WAF or EDR that observe from an external viewpoint, Raven integrates within the application itself, thus equipping it to thwart exploits, supply chain attacks, and zero-day vulnerabilities even in the absence of known threats or CVEs. It perpetually scrutinizes runtime activities, detects irregular patterns, or misuse of legitimate operations, and promptly intervenes to halt harmful executions. Furthermore, Raven aids security teams in prioritizing their efforts by sifting through countless irrelevant vulnerabilities, allowing them to concentrate solely on those that pose a genuine risk. This proactive approach not only enhances security but also streamlines the overall security management process, ensuring that resources are allocated effectively.

Native serves as a cloud security control plane aimed at assisting organizations in establishing, executing, and upholding security policies throughout various cloud environments, encompassing contemporary AI infrastructures. Its primary objective is to deliver governance that is inherently secure, allowing teams to manage the provisioning, access, and oversight of AI services and cloud resources within their systems. Users can articulate their desired security objectives, which Native then translates into the necessary technical controls tailored for each cloud provider, thereby removing the need for manual interpretation of best practices or individual policy configurations for multiple environments. Additionally, Native enhances risk management through comprehensive visibility and planning tools that facilitate asset discovery, change simulation, and control implementation to mitigate risks and limit potential damages across systems. Moreover, it incorporates sophisticated functionalities such as environment segmentation, protection of data perimeters, and strategies for managing blast radius containment, further strengthening an organization’s security posture. By integrating these features, Native ensures a robust framework for cloud security management.

Surf AI is an innovative security operations platform aimed at mitigating vulnerabilities and automating remediation by linking context across all enterprise systems, transforming scattered risks into actionable workflows. It tackles the fundamental challenge of increasing security backlogs, recognizing that the primary issue lies not in the number of personnel but in the absence of a cohesive context. By integrating various systems, mapping interdependencies, and designating responsibility for each issue, it effectively addresses this challenge. The platform functions through a continuous loop of gathering data from multiple systems, comprehending ownership and interrelations, evaluating the potential impact before taking action, and resolving issues with safe, automated remediation processes. By bridging tools and data sources, Surf AI empowers teams to associate every exposure with a specific owner, facilitating resolution from start to finish without depending on tickets or manual transitions between teams. Furthermore, it streamlines workflows across systems, thereby considerably minimizing the time dedicated to follow-ups and reducing operational burdens. Ultimately, Surf AI enhances the efficacy of security operations, allowing organizations to respond more swiftly and effectively to emerging threats.

Depthfirst is an advanced application security platform specifically designed to aid organizations in identifying, prioritizing, and addressing software vulnerabilities by thoroughly understanding their code, infrastructure, and business logic as an integrated system. Central to depthfirst is its "General Security Intelligence," which conducts comprehensive analyses of entire repositories and environments to reveal how systems operate in reality, thus identifying intricate, real-world vulnerabilities that conventional scanners frequently overlook. By assessing complete attack paths, permissions, and data flows, it accurately determines the exploitability of issues, thereby significantly lowering false positive rates and enabling teams to concentrate on substantial risks. Additionally, depthfirst functions across various layers of the technology stack, which includes source code, dependencies, secrets, containers, and live applications, ensuring ongoing security throughout both development and production phases. This holistic approach not only enhances security effectiveness but also streamlines the remediation process for development teams.

Qevlar AI represents an innovative autonomous platform for Security Operations Centers (SOC), fundamentally changing the approach that cybersecurity teams take when it comes to threat investigation and response by fully automating the alert analysis process. In contrast to conventional tools or AI assistants that depend on human intervention or set playbooks, this system autonomously examines alerts immediately upon receipt, aggregating and enhancing data from various security tools and external resources to assess the true nature of each alert. It adeptly correlates and evaluates signals across different systems, reconstructs patterns of attacks, and delivers a comprehensive understanding of incidents, which empowers teams to transcend disjointed workflows and reactive alert management. Utilizing advanced agentic AI, the platform significantly automates many aspects of manual investigations, leading to drastic reductions in response times, heightened consistency, and an increase in the operational capability of security teams without necessitating additional personnel. This innovation not only streamlines processes but also enhances the overall effectiveness of cybersecurity efforts, ensuring teams are better equipped to handle evolving threats.

Linx Security is an innovative identity security and governance platform that leverages AI to provide organizations with comprehensive visibility and control over the complete identity lifecycle. This platform empowers teams to effectively map, monitor, and manage both human and non-human identities across various applications, cloud setups, and on-premises systems, significantly minimizing blind spots and reducing the potential for identity-related attacks. By offering an integrated solution that merges identity, security, and IT operations, Linx allows organizations to efficiently manage access, implement policies, and ensure compliance from a centralized point of operation. Through the use of AI-driven analytics, Linx continuously evaluates identity relationships, entitlements, and access behaviors to identify risks, irregularities, and vulnerabilities, such as inactive accounts, excessive permissions, insufficient authentication measures, or absent security protocols. Additionally, it features capabilities like identity security posture management, just-in-time access, and lifecycle automation, enabling businesses to eliminate standing privileges and enhance their security posture. Ultimately, Linx Security provides a holistic approach to identity management that adapts to the evolving challenges faced by organizations today.

CyberTide is an innovative data security platform that leverages AI to provide organizations with comprehensive visibility, control, and safeguarding of sensitive information across various environments, including cloud services, SaaS applications, collaborative tools, and generative AI settings. By integrating several security features into a cohesive framework, such as Data Loss Prevention (DLP), Data Security Posture Management (DSPM), insider risk management, and AI security posture management, it empowers teams to identify, categorize, and protect data in real time. The platform employs context-aware artificial intelligence to thoroughly analyze the meanings and interconnections of data, rather than depending solely on keywords, which greatly minimizes false positives while ensuring precise identification of sensitive content. It actively monitors data both at rest and in transit, encompassing communication channels like emails, chats, and files, as well as AI-generated prompts, all while enforcing stringent policies aimed at preventing unauthorized access, leakage, or misuse of confidential information, including personal, financial, and proprietary data. This proactive approach not only enhances security but also fosters a culture of data protection within organizations.

FireTail serves as a comprehensive AI security and governance solution that empowers organizations with thorough oversight, management, and safeguarding of AI applications within their ecosystems. The platform actively identifies AI utilization across various domains, including codebases, cloud services, APIs, software-as-a-service tools, and web browsers, creating a live inventory of both authorized and unregulated AI systems to ensure adherence to governance protocols. It meticulously records and evaluates every interaction with AI, encompassing prompts, responses, metadata, and user identities, thereby offering profound insights into the access patterns of AI models and the pathways through which data navigates. With FireTail, organizations can implement adaptable, context-sensitive policies via a unified governance framework, leveraging established guidelines like OWASP or tailored regulations to uphold compliance while fostering innovation. Furthermore, it consistently tracks activities to identify potential threats such as prompt injection, data breaches, improper model usage, and unusual behaviors, ensuring a proactive approach to security. This ongoing vigilance not only enhances organizational resilience but also promotes a culture of responsible AI usage.

Matters.AI stands out as the pioneering AI Security Engineer for Data, specifically designed to autonomously detect, comprehend, and address instances of data misuse before any ticket is generated by the Security Operations Center (SOC). This innovative solution safeguards what truly matters, overseeing sensitive data as it exists or moves across various platforms, functioning similarly to a human security engineer that comprehends context, monitors activities, and protects sensitive information independently across environments such as cloud services, SaaS, endpoints, microservices, and AI pipelines. Built upon advanced technologies like semantic intelligence, nearest neighbor search, data lineage modeling, and predictive behavior analysis, Matters goes beyond mere threat detection; it interprets context, foresees potential risks, and takes proactive measures. Rather than depending on outdated static rules, regex patterns, cumbersome dashboards, and incessant alerts, Matters adeptly reads nuanced data signals, tracks risks in real-time, and operates around the clock. By identifying sensitive data based not solely on appearance but also on its significance, Matters employs techniques like fingerprinting and eBPF to monitor data across cloud environments, SaaS applications, endpoints, and beyond, ensuring comprehensive protection and awareness. In this way, Matters.AI not only enhances data security but also transforms the landscape of risk management in the digital age.

Frame represents a groundbreaking approach to security awareness, designed to protect against AI-driven threats by understanding your organization and delivering tailored security training, simulations, and deepfake scenarios within minutes. In contrast to traditional awareness solutions that depend on one-size-fits-all resources, Frame creates training programs and simulations that reflect your specific environment, including the threats you face, your policies, employee roles, technological infrastructure, and actual organizational context. This innovative platform prepares employees for a wide array of challenges, extending beyond just phishing to include personalized training on deepfake recognition, AI-fueled social engineering tactics, secure coding practices, advanced threats, compliance issues, privacy concerns, developer education, and the latest security news relevant to your industry. The simulations provided by Frame are highly realistic, as they are developed using your organization's specifics, resulting in authentic phishing emails, voice interactions, and deepfake videos, all designed with adaptive difficulty levels that adjust to each employee's skill set. Furthermore, Frame employs multichannel campaigns that effectively simulate the tactics used by real-world adversaries, ensuring that your workforce is thoroughly prepared for the evolving landscape of cybersecurity threats.

Google AI Threat Defense is a comprehensive AI-driven security platform that empowers organizations to outpace increasingly sophisticated cyber threats through intelligent risk detection, prioritization, remediation, and continuous monitoring. The solution combines advanced AI technologies, including Gemini and other frontier models, with Wiz’s contextual risk prioritization, CodeMender’s remediation capabilities, and Mandiant’s threat intelligence expertise to create an autonomous security framework capable of operating at machine speed. Through its Prepare phase, organizations gain deep visibility into multicloud, SaaS, AI, and hybrid environments by identifying attack paths, shadow assets, exposed services, and ownership gaps. The Scan phase uses AI-powered analysis and adversarial testing to validate vulnerabilities, analyze codebases, enrich findings with runtime context, and generate actionable response plans. During Remediation, the platform accelerates issue resolution by generating environment-specific code fixes directly within developer workflows while supporting large-scale vulnerability management and automated triage. The Monitor phase provides machine-speed detection and response capabilities, leveraging AI-driven monitoring, threat detection, and security operations automation to identify and respond to emerging threats across infrastructure, applications, identities, and networks. By integrating visibility, intelligence, automation, and remediation into a unified platform, Google AI Threat Defense helps organizations strengthen cybersecurity posture, reduce risk exposure, and respond more effectively to evolving attack techniques.

General Analysis serves as a cutting-edge AI security platform designed to aid security teams in adversarially testing, monitoring, and safeguarding AI agents and systems that are actively deployed. Its primary objective is to enable organizations to grasp AI-related risks, avert potential incidents, and secure various real-world AI applications, which include employee copilots, coding agents, customer support tools, healthcare assistants, legal aids, financial copilots, and creative workflows. By mapping out AI applications and agents through an extensive range of parameters such as prompts, retrieval methods, tools, MCP servers, browser activities, permissions, repositories, cloud accounts, SaaS workflows, and business processes, it effectively identifies context-aware attacks that highlight vulnerabilities within the system. The platform's automated red teaming employs adaptable attacker models that respond to target behaviors and generate complex multi-step exploit chains, providing security teams with the ability to discover vulnerabilities that traditional static prompt sets or endpoint-only testing might overlook. Ultimately, General Analysis empowers organizations to enhance their AI security posture while ensuring that their deployments remain resilient against evolving threats.

Darktrace / CLOUD serves as an AI-enhanced solution for detecting and responding to cyber threats, specifically designed to enhance cyber resilience in hybrid and multi-cloud settings. Utilizing its Self-Learning AI capabilities, it constantly observes cloud assets, containers, APIs, users, identities, and network behavior to establish what is typical, allowing it to identify both familiar and unprecedented threats instantaneously. The Cyber AI Analyst efficiently triages alerts and quickens the investigative process, while the platform's Autonomous Response feature can accurately neutralize harmful activities without causing disruption to cloud infrastructure or ongoing services. This solution offers continuous, real-time insight into the changing landscapes of cloud architectures, workloads, access permissions, and live threat detections, facilitating collaboration between SecOps and DevOps teams through a unified perspective. It effectively prioritizes issues such as misconfigurations, excessive permissions, vulnerable devices, and critical attack vectors based on the business context, thereby aiding in proactive risk mitigation and ensuring cloud compliance. Furthermore, the integration of advanced analytics allows organizations to adapt their security postures dynamically as their cloud environments evolve.

Darktrace / OT is an advanced AI-driven security platform specifically designed for safeguarding critical infrastructure, integrating threat detection and response with contextualized risk management for operational technology that surpasses mere CVE scoring. This innovative solution identifies and visualizes devices operating on both IT and OT protocols, offering comprehensive visibility throughout all levels of the Purdue Model from a secure foundation. By employing both passive and active scanning techniques, it maintains an up-to-date inventory of assets while highlighting vulnerabilities and the status of devices nearing their end of life. Furthermore, its real-time monitoring capabilities extend to specialized industrial protocols, production assets, and connected IT systems, ensuring thorough oversight. The Self-Learning AI component adeptly recognizes standard operational patterns, thereby enabling the detection of insider threats as well as known, unknown, and zero-day vulnerabilities on a large scale. In addition, the Cyber AI Analyst feature performs automatic investigations of activities across both IT and OT environments, efficiently prioritizing critical incidents and summarizing findings for production engineers and security analysts alike. Lastly, the Autonomous Response functionality allows for the initiation of specific, pre-approved measures to effectively halt and contain emerging threats, thereby enhancing the overall security posture of the infrastructure. This holistic approach makes Darktrace / OT an indispensable tool in the realm of cybersecurity for critical systems.

Organizations facing challenges in protecting their cloud environments can rely on Aviatrix to provide comprehensive cloud protection through one unified platform. While traditional security strategies concentrate on defending network perimeters and access gateways, Aviatrix Cloud Native Security Fabric (CNSF) provides active protection and policy enforcement directly embedded within cloud infrastructure layers – bridging security blind spots and restoring operational oversight for businesses. Aviatrix enables security, infrastructure, and network professionals to accelerate development workflows, artificial intelligence initiatives, function-as-a-service architectures, and emerging technologies.

Introducing the ultimate multicloud monitoring solution that offers real-time analytics for diverse environments, previously known as SignalFx. This platform enables monitoring across any environment using a highly scalable streaming architecture. It features open, adaptable data collection and delivers rapid visualizations of services in mere seconds. Designed specifically for dynamic and ephemeral cloud-native environments, it supports various scales including Kubernetes, containers, and serverless architectures. Users can promptly detect, visualize, and address issues as they emerge. It empowers real-time infrastructure performance monitoring at cloud scale through innovative predictive streaming analytics. With over 200 pre-built integrations for various cloud services and ready-to-use dashboards, it facilitates swift visualization of your entire operational stack. Additionally, the system can autodiscover, break down, group, and explore various clouds, services, and systems effortlessly. This comprehensive solution provides a clear understanding of how your infrastructure interacts across multiple services, availability zones, and Kubernetes clusters, enhancing operational efficiency and response times.

The only AI-driven platform that combines all aspects of identity, governance and access management to dramatically improve and scale, it is the only one in the industry. Digital access is essential for our personal, professional, and educational lives. It is essential to accelerate digital transformation, provide superior experiences, and ensure the highest level of security in order to meet customer demand and keep up with our competitors. ForgeRock helps people connect to the world safely and easily by helping organizations improve and scale their identity, governance and access management. ForgeRock is the only AI-driven platform that offers a full suite of AI-driven solutions. It is designed for all types of identities (consumers and workers, as well as things). ForgeRock's simple-to-use, comprehensive solutions will help you increase revenue, manage risk, increase workforce productivity, and lower costs.

The Qualys TruRisk Platform, previously known as the Qualys Cloud Platform, features an innovative architecture that drives a wide range of cloud applications focused on IT, security, and compliance. With its continuous and always-active assessment capabilities, the Qualys TruRisk Platform allows for real-time, 2-second visibility into your global IT environment, regardless of the location of your assets. Coupled with automated threat prioritization, patch management, and additional response functionalities, it serves as a comprehensive security solution. Whether deployed on-premises, on endpoints, within mobile environments, in containers, or in the cloud, the platform's sensors provide constancy in visibility across all IT assets at every moment. These sensors are designed to be remotely deployed, centrally managed, and self-updating, available as either physical or virtual appliances, or as lightweight agents. By offering an integrated end-to-end solution, the Qualys TruRisk Platform helps organizations sidestep the expenses and complications related to juggling multiple security vendors, ultimately streamlining their security management strategy. This holistic approach ensures that businesses can maintain a robust security posture while focusing on their core operations.

Coalfire stands out by offering unparalleled cloud expertise, innovative technology, and strategic insights that enable your organization to fully embrace the opportunities presented by digital transformation. As a trusted cybersecurity advisor, Coalfire assists both public and private sectors in mitigating risks, closing vulnerabilities, and effectively managing threats. Through customized guidance, comprehensive assessments, technical evaluations, and cyber engineering solutions, we empower clients to build scalable security programs that not only enhance their security posture but also align with their business goals, fostering ongoing success. With over 16 years of experience as a leader in the cybersecurity field and locations across the United States and Europe, Coalfire is poised to unlock your cloud’s full capabilities and secure your future. Stay ahead of the competition by choosing a partner that fights against your adversaries. Transform your approach with a modern cybersecurity program that aligns with your business strategy and gives you a competitive edge. Your success is our mission.

Proficio's Managed, Detection and Response solution (MDR) surpasses traditional Managed Security Services Providers. Our MDR service is powered with next-generation cybersecurity technology. Our security experts work alongside you to be an extension of your team and continuously monitor and investigate threats from our global network of security operations centers. Proficio's advanced approach for threat detection leverages a large library of security use case, MITRE ATT&CK®, framework, AI-based threat hunting model, business context modeling, as well as a threat intelligence platform. Proficio experts monitor suspicious events through our global network Security Operations Centers (SOCs). We reduce false positives by providing actionable alerts and recommendations for remediation. Proficio is a leader for Security Orchestration Automation and Response.

High precision, automated, scalable, and intelligent DDoS mitigation solution is delivered as hardware or virtual appliances ranging from 1Gbps to over 1Tbps. The solution minimizes downtime with multi-vector DDoS mitigation, leveraging FPGA-based acceleration and various clustering techniques to provide protection at scale. Auto policy escalation, intelligent zero-day mitigation, and streamlined SecOps elevates efficacy while lowering TCO.

Vercara UltraWAF is a cloud-native web application security service designed to defend against threats aimed at the application layer. This solution safeguards your applications from various risks such as data breaches, defacements, and malicious bot attacks, ensuring a robust defense against web application-layer vulnerabilities. UltraWAF enhances operational efficiency by providing consistently configured security rules that are independent of service providers or hardware constraints, thus protecting applications regardless of their hosting environment. With its flexible security capabilities, UltraWAF addresses major network and application-layer threats like SQL injection, cross-site scripting (XSS), and distributed denial-of-service (DDoS) attacks. Its constant security presence, coupled with the scalability inherent to cloud solutions, guarantees thorough protection against the OWASP top 10 vulnerabilities, along with advanced bot management and vulnerability scanning. This comprehensive approach allows businesses to effectively safeguard their essential applications and those that interact with customers from evolving cyber threats. Moreover, UltraWAF’s proactive measures help maintain customer trust by ensuring a secure online experience.

CloudSphere serves as a comprehensive cloud governance solution that addresses various aspects such as migration planning, security posture, identity management, compliance, and cost oversight within cloud environments. Uniquely, it is the sole platform that aggregates essential data points defining applications in the cloud and analyzes them to facilitate governance tailored to each application. Our offerings encompass not only cloud migration strategies but also effective cost management and security posture oversight. We provide an unparalleled agentless application discovery and dependency mapping tool specifically designed for the seamless migration of intricate applications. Additionally, our innovative Application Intelligence feature empowers users to handle migration, cost, and security on an application-by-application basis. By consolidating all these functionalities into a single platform, we significantly streamline the user experience for cloud planning and governance across various cloud service providers, minimizing the need for multiple tools and enhancing operational efficiency.

HUMAN Sightline Cyberfraud Defense is an application security and fraud defense platform for governing traffic from humans, bots, AI agents, and other automated systems. It operates across websites, mobile applications, and APIs to help organizations identify legitimate sessions while detecting fraud, abuse, and misuse. The platform provides protection against use cases including account takeover, compromised accounts, fake accounts, scraping, transaction abuse, data contamination, and emerging agentic AI risks. HUMAN uses layered protection that evaluates activity across multiple stages of a session instead of assessing login, checkout, or other interaction points in isolation. Its AI models continuously adapt based on previous detections and mitigation events, helping the system respond to evolving attacker behavior. High-fidelity decisioning is paired with mitigation and governance controls so organizations can act on identified threats while preserving access for legitimate users and automated systems. Investigation tools help security teams analyze attack networks, understand tactics, and accelerate incident response. Reporting and observability capabilities provide teams with more context around decisions and threat activity across protected applications. The platform is designed for enterprises that need to reduce cyberfraud without unnecessarily disrupting trusted customers, bots, or AI-driven interactions.