HiddenLayer, the security provider for AI models and assets, has announced the launch of AI Detection & Response for Generative AI. The new capability comes as part of HiddenLayer’s award-winning platform, formerly known as MLDR, extending HiddenLayer’s end-to-end security to organizations deploying LLM-based applications.

HiddenLayer’s AI Detection & Response for Generative AI provides a set of security controls that enable real-time monitoring, detection, and response to threats specific to LLMs. The system supports a majority of LLMs, including GPT-X, LlaMa, Mistral, and internally built LLMs out-of-the-box, and allows for the interception of traffic to and from LLM applications, offering the capability to block harmful transactions or generate alerts for security teams to take necessary actions. This ensures that LLM deployments can be managed securely, mitigating the risk of data leaks, malicious use, and other abuses.

“HiddenLayer’s AI Detection & Response allows organizations to responsibly navigate the risks associated with Generative AI, facilitating safe adoption of AI across industries,” said Chris “Tito” Sestito, Co-Founder and CEO of HiddenLayer. “By empowering CISOs and security leaders to bring Generative AI technologies to their organizations with responsible controls, this launch stands as the latest step in our mission to help enterprises protect their most valuable technology.”

HiddenLayer’s AI Detection & Response fortifies organizations’ generative AI deployments against unauthorized access, infiltration attempts, and intellectual property theft – all while delivering real-time protection. The platform is automated, enabling it to recognize real-time attacks and respond to generative AI model breach attempts with speed, and can be easily deployed and integrated into existing MLOps frameworks and security tools in minutes, not days. Furthermore, the platform is scalable, providing clear reporting on detected threats, empowering security teams with insights into adversarial behavior.