HiddenLayer, a Gartner recognized Cool Vendor for AI Security, is the leading provider of Security for AI. Its security platform helps enterprises safeguard the machine learning models behind their most important products. HiddenLayer is the only company to offer turnkey security for AI that does not add unnecessary complexity to models and does not require access to raw data and algorithms. Founded by a team with deep roots in security and ML, HiddenLayer aims to protect enterprise’s AI from inference, bypass, extraction attacks, and model theft. The company is backed by a group of strategic investors, including M12, Microsoft’s Venture Fund, Moore Strategic Ventures, Booz Allen Ventures, IBM Ventures, and Capital One Ventures.
The Challenges
Staying Ahead of Emerging Risks
Security teams are under pressure to rapidly secure AI solutions. With generative AI introducing new attack surfaces, teams must quickly adapt novel defense strategies. Traditional Red Teaming is indispensable for identifying nuanced vulnerabilities and testing unique system configurations. However, it requires significant time, specialized expertise, and resources, limiting its frequency and scalability.
Attack Surfaces
AI introduces unique and previously unseen attack surfaces, demanding that security teams quickly add AI-specific defense strategies to mitigate emerging threats
Scalability Gaps
Red teaming AI requires scalability given the need to constantly adopt AI at quickly while keeping up with the fast-evolving AI threat landscape
Blocked Launches
Delays in securing AI solutions can stall product launches, or put companies at risk of legal, financial, and reputational damage by leaving systems exposed to unaddressed vulnerabilities
Our Approach
Identify, Remediate, Document
HiddenLayer’s Automated Red Teaming for AI enables security teams with one-click vulnerability testing for AI solutions. Leveraging our industry leading AI research and professional red teaming services, this tool simulates expert attacks with zero lead time, providing detailed reports to identify, remediate, and document security risks — keeping AI projects on track.
Expert
Simulations
Automated Red Teaming for AI uses cutting-edge research and red teaming expertise to simulate sophisticated, real-world attacks on AI models. By mirroring known threat tactics, it provides deep insight into potential vulnerabilities, allowing teams to stay ahead of emerging risks.
Fast
Deployment
Automated Red Teaming for AI is fast to set up against any endpoint, with configurable test sets. Security teams can rapidly test AI systems, streamlining the process and eliminating delays.
Compliance-Ready Reporting
Automated Red Teaming for AI automatically generates comprehensive reports by OWASP category, documenting vulnerabilities and fixes. These detailed, actionable insights help teams meet regulatory requirements and track security improvements over time.
LLM Category Attack Coverage
Learn more about what Automated Red Teaming for AI can offer.
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