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.
Enable real-time monitoring, detection, and response to threats specific to LLMs.
Ensure that LLM deployments can be managed securely, mitigating the risk of data leaks, and malicious use.
The Challenges
Optimizing Gen AI Adoption with Security
In the fast-paced world of GenAI, cyber attacks move quickly. Real-time protection demands comprehensive measures to mitigate threats. Additionally, navigating complex regulatory frameworks adds complexity and requires compliance. Balancing real-time protection, effective threat mitigation, and regulatory compliance is imperative for fostering a resilient and responsible GenAI ecosystem.
Cyber Attacks
LLMs must be protected from tampering, prompt injection attacks, PII leakage, toxicity, inference attacks, and model theft
Integration Into MLOps Tools
Adoption of security tools for GenAI demands integration options with modern MLOps tooling ensuring data scientists and ML engineers can adopt the controls without friction
Generative AI Deployment
GenAI deployment risks include regulatory issues, penalties, legal consequences, and reputational damage when compromised by an adversarial attack
Our Approach
Automated, Scalable, and Unobtrusive
HiddenLayer’s AI Detection & Response for GenAI enhances LLM adoption by seamlessly integrating with your current security infrastructure. It complements your existing security stack and empowers you to automate and scale the protection of both LLMs and traditional AI models, ensuring their security in real-time.
With AI Detection and Response for GenAI integrated into your environment, you can facilitate LLM adoption while proactively defending against threats to your LLMs.
Real-time Protection
Continuous Assurance
Ensures your systems are resistant to prompt injection attacks, PII leakage, inappropriate privilege escalation, or code execution.
Threat Mitigation
Remain Proactive
Proactively mitigates cybersecurity risks in real-time as part of the MLOps Lifecycle, ensuring a secure and efficient workflow and maps all alerts to the MITRE ATLAS and LLM OWASP frameworks.
Regulatory Compliance
Ensure Integrity
Supports the majority of LLMs including: GPT-X, LlaMa, Mistral, and internally built LLMs out-of-the-box, among other model types, and integrates into existing deployment frameworks with relative ease.
Provide real-time cyber protection for GenAI by safeguarding against prompt injection, PII leakage, evasion, and model theft.
Learn more about what AI Detection & Response can offer.
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