
Kitecyber: Data & Gen AI Security, Built on the Endpoint
Your most sensitive data leaves through browsers, Gen AI prompts, SaaS uploads, and clipboards — faster than any network tool can catch it. Kitecyber stops that at the source, with a single lightweight agent that runs directly on the endpoint and acts the instant data is touched, not after it's already gone.
Because it lives on the device, Kitecyber has full context — device, OS, process, data, user, and network activity together, in real time. That's the vantage point network- and cloud-only tools simply don't have.
Data security that keeps up with your data. Kitecyber classifies sensitive information with LLM-powered, context-aware intelligence across 80+ categories — PII, PHI, PCI, source code, IP — at over 90% accuracy, not brittle keyword matching. It tracks data lineage through screenshots, encoding, and file conversion that defeat traditional scanners, and blocks policy violations inline, before data ever leaves the endpoint.
Gen AI security for the age of AI agents. Kitecyber tracks sensitive data pasted or uploaded into tools like ChatGPT, Claude, and Gemini and stops it in real time. It discovers shadow AI reaching your devices and extends visibility to the AI agents now acting on your users' behalf — the blind spot identity- and network-based tools were never built to see.
Trusted and proven. Kitecyber secures fast-growing fintech, BFSI, and SMB organizations in highly regulated environments, partnering with GRC leaders like Scrut Automation to unify security and compliance. It's SOC 2 Type II compliant, deploys in about a day, and delivers enterprise-grade protection without enterprise complexity.
See what full-context data and Gen AI security looks like. Learn more at kitecyber.com.
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c/side: The Client-Side Platform for Cybersecurity, Compliance, and Privacy
Monitoring third-party scripts effectively eliminates uncertainty, ensuring that you are always aware of what is being delivered to your users' browsers, while also enhancing script performance by up to 30%. The unchecked presence of these scripts in users' browsers can lead to significant issues when things go awry, resulting in adverse publicity, potential legal actions, and claims for damages stemming from security breaches. Compliance with PCI DSS 4.0.1, particularly sections 6.4.3 and 11.6.1, requires that organizations handling cardholder data implement tamper-detection measures by March 31, 2025, to help prevent attacks by notifying stakeholders of unauthorized modifications to HTTP headers and payment information. c/side stands out as the sole fully autonomous detection solution dedicated to evaluating third-party scripts, moving beyond reliance on merely threat feed intelligence or easily bypassed detections. By leveraging historical data and artificial intelligence, c/side meticulously analyzes the payloads and behaviors of scripts, ensuring a proactive stance against emerging threats. Our continuous monitoring of numerous sites allows us to stay ahead of new attack vectors, as we process all scripts to refine and enhance our detection capabilities. This comprehensive approach not only safeguards your digital environment but also instills greater confidence in the security of third-party integrations.
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SandboxAQ
The rise of large, reliable quantum computers threatens the security of existing public-key cryptography, exposing crucial data and systems to potential breaches. In response to this challenge, SandboxAQ has been chosen by NIST's National Cybersecurity Center of Excellence to participate in its Migration to Post-Quantum Cryptography initiative, collaborating with industry partners to guide the government in establishing effective strategies for transitioning from current public-key systems to new post-quantum cryptography algorithms. This initiative simplifies compliance with emerging cryptographic standards and allows for seamless switching between different algorithms without the need for extensive development or upkeep. Furthermore, the Application Analyzer plays a pivotal role by monitoring and documenting all interactions with cryptographic libraries during application runtime, thereby pinpointing vulnerabilities and instances of non-compliance. Such tools are essential in fortifying the security framework as we advance toward a quantum computing era.
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Multifactor
Multifactor is an advanced platform designed for account-sharing and access management that emphasizes a zero-trust approach, utilizes post-quantum cryptography, and features intricate permission settings. Instead of merely exchanging credentials, users can safely store their online accounts—including passwords, passkeys, and 2FA codes—in a secure vault, allowing them to send controlled links to authorize access for both people and AI agents. The ability to revoke access immediately ensures that the underlying credentials remain concealed, enhancing security. Users can set specific permissions, such as allowing someone to "read transactions" without permitting them to "initiate transfers," while also generating comprehensive, non-repudiable audit trails for every action taken. Moreover, the platform incorporates robust encryption and a post-quantum security framework to guarantee that only authorized individuals ever access sensitive information. Additionally, it can function as a comprehensive identity and access management solution, providing support for various authentication methods, including biometrics and hardware tokens, as well as facilitating authorization, access auditing, enforcement of device and network endpoints, and secure sharing of accounts and resources. This multifaceted approach not only simplifies access management but also enhances overall cybersecurity measures.
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