Enable strong identity and authentication for workloads and agents, backed by a durable, verifiable certificate.
Zero Trust for Agentic AI Security
Agentic AI is here. These autonomous agents can transform your business, but only if they’re secured. With Keyfactor, every AI agent gets a unique, trusted identity so you can authenticate actions, protect data, and build digital trust at scale.
Agentic AI has enormous potential. What's the biggest holdup? Security.
25%
of companies using GenAI will launch agentic AI pilots in 2025, growing to 50% in 2027
Deloitte Center for Technology Media & Communications
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
Agentic AI security starts with identity.
The rapid rise of AI agents is accelerating cloud workloads and multiplying non-human identities. Without a trusted way to identify, authenticate, and authorize them, autonomy becomes a liability.
OUR APPROACH
Certificates are the backbone of securing agentic AI.
Keyfactor enables enterprises to apply proven PKI and Zero Trust
principles to make AI agents verifiable and trustworthy.
“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
There is no AI security without identity.
Every AI agent needs a unique, trusted certificate. Without it, autonomy creates risk.
With it, you build digital trust at scale.
Agentic AI is an emerging frontier —
and identity is its foundation.
Every agent, workload, and system needs a trusted identity to be secure. Keyfactor anchors this emerging ecosystem with certificate-based identities, ephemeral credentials, and lifecycle automation built to scale.
Explore the Keyfactor solutions that help you build trust into every AI agent, workload, and system, from day one.
MEDIA INTERVIEW
Keyfactor targets AI-era security gaps with machine identity safeguards
