AI white paper

The New Trust Architecture for AI

See how DigiCert applies cryptographic identity, integrity, and verification to help organizations govern AI agents, protect models, and prove content authenticity.

Inside the AI white paper:

Establish verifiable identity and authorization with workload identities and AI Agent Passports.
Enforce agent policies at the network edge using DNS as a universal control point.
Protect AI models from packaging through execution with cryptographic signing, attestation, confidential computing, and lifecycle governance.
Prove the origin and integrity of digital media through C2PA-aligned content credentials and trusted third-party validation.

Trust in AI must be proven, not assumed.

As AI takes on a greater role across the enterprise, organizations need to know which agents they can trust, whether models and their outputs are authentic, and who—or what—is accountable. Traditional security and governance frameworks weren't built for AI's speed, autonomy, and scale. DigiCert applies proven PKI, DNS, attestation, and cryptographic identity practices to establish verifiable trust across AI systems and their outputs.