Find the certificates, keys, algorithms, and libraries behind AI agents and prioritize the risks that matter.
Zero Trust for Agentic AI Security
Scale AI agents with cryptographically verified identities, trusted instructions, and built-in governance.
BY THE NUMBERS
Scaling agentic AI starts with trust
86%
of IT and security leaders say AI agents and autonomous systems cannot be fully trusted without unique, dynamic identities.
PwC’s AI Agent Survey, May 2025
52%
of senior executives say cybersecurity concerns are one of the biggest challenges to realizing value from AI agents.
PwC’s AI Agent Survey, May 2025
THE CHALLENGES
AI agents expand the enterprise trust boundary.
As AI agents connect to systems, use tools, and act with greater autonomy, organizations need visibility and control across the cryptographic foundations supporting them.
OUR APPROACH
Manage agent trust as one connected system
Continuously discover risk, establish trust, automate lifecycle operations, and enforce policy across AI environments.
“Using MFA works great for humans but is not appropriate for workloads, such as AI agents. Instead, consider using workload identities or credentials, such as workload-bound certificates.”
How to Secure Custom-Built AI Agents, June 2025
WHY KEYFACTOR
Built for trust at enterprise scale
Extend the cryptographic infrastructure protecting your machines, workloads, applications, and software to agentic AI.
The Trust Control Plane for agentic AI
Bring every layer of agent trust into one system from cryptographic discovery and verified identity to policy-based access, digital signing, and lifecycle governance.
MEDIA INTERVIEW
Keyfactor targets AI-era security gaps with machine identity safeguards
CHECKLIST
Building Secure AI Agents from Day One
WHITE PAPER
Securing Agentic AI with Zero Trust
