Scale AI Faster With Security
Accelerate safe model adoption, governance, testing, and runtime protection across every AI initiative.


Trusted by Industry Leaders


AI Leaders Challenges With Securing AI
AI leaders face four barriers to safely scale their AI systems
Speed, trust, governance, and resilience are all at risk without AI specific security.
No inventory of enterprise AI programs
Teams cannot track which models exist, who owns them, or how they are used.
One platform that solves the four core AI security gaps
Each HiddenLayer module directly maps to a real CISO level risk.
01
Eliminate shadow AI before it creates business risk
Instantly map all models, agents, datasets, and workflows across business units for governance and planning.

02
Reduce exposure from unvetted third-party AI
Validate open source, vendor, and partner models before adoption to ensure safety, trust, and integrity.

03
Prevent breaches by identifying gaps before attackers do
Stress test AI systems with automated attacks so teams can fix weaknesses before deployment.

03
Detect AI attacks in real time before they cause damage
Detect prompt abuse, unsafe output, data leakage, and agent misuse as applications run.

What AI leaders gain with HiddenLayer
Faster time to production
Security is built into the AI lifecycle.
Trusted model adoption
Only verified models enter production.
Continuous validation
Models stay safe as they evolve.
Enterprise governance
AI usage is visible and measurable.
Learn from the Industry’s AI Security Experts
Research, guidance, and frameworks from the team shaping AI security standards.
Scale AI with confidence
Build faster, safer, and more resilient AI programs.


