Notifications
Clear all
Topic starter
25/06/2026 12:27 am
TL;DR: Agentic AI expands the identity attack surface by making autonomous systems dependent on keys, certificates, and protocols that must be continuously discovered, inventoried, and remediated, according to Keyfactor. As quantum pressure rises, cryptographic posture management shifts from hygiene work to a governance control for AI, NHI, and operational resilience.
NHIMG editorial — based on content published by Keyfactor: AgileSec and ServiceNow enable enterprise quantum-readiness with cryptographic posture management
Questions worth separating out
Q: How should security teams govern cryptographic assets used by AI agents?
A: Security teams should govern cryptographic assets as part of machine identity lifecycle management.
Q: Why do AI agents make cryptographic posture more important for IAM teams?
A: AI agents make cryptographic posture more important because the agent proves itself and obtains access through cryptographic trust, not human interaction.
Q: What breaks when legacy cryptography remains in agent workflows?
A: Legacy cryptography creates hidden trust continuity.
Practitioner guidance
- Inventory cryptographic assets tied to agent workflows Map every key, certificate, protocol, and trust chain used by autonomous agents, APIs, and security automation.
- Classify legacy protocol exceptions as governance risk Create a register of systems that still rely on older cryptographic protocols or long-lived certificate patterns.
- Align cryptographic remediation with machine identity lifecycle Use lifecycle events such as onboarding, key rotation, certificate expiry, and decommissioning to drive remediation for NHI and agent trust assets.
What's in the full article
Keyfactor's full product article covers the operational detail this post intentionally leaves for the source:
- Automated cryptographic discovery and inventory across ServiceNow-integrated workflows.
- Compliance reporting and risk remediation workflows for cryptographic assets.
- Post-quantum readiness assessments tied to operational monitoring.
- Orchestration and playbook integration details for security operations teams.
👉 Read Keyfactor's article on cryptographic posture management for AI and quantum readiness →
Cryptographic posture management for AI agents: what changes now?
Explore further
25/06/2026 9:22 am
Cryptographic posture management is now part of identity governance for autonomous systems. Agentic AI does not just consume cryptography, it depends on it to establish and preserve trust across runtime actions. That shifts key and certificate management into the same control plane as access governance, because the trust boundary is no longer a static login event. Practitioners should treat cryptographic posture as a prerequisite for trustworthy machine identity.
A few things that frame the scale:
- 92% agree governing AI agents is critical to enterprise security, yet only 44% have implemented any policies to do so, according to AI Agents: The New Attack Surface report.
- Only 52% of companies can track and audit the data their AI agents access, leaving 48% with a complete blind spot for compliance and breach investigation.
A question worth separating out:
Q: Which frameworks help with post-quantum readiness for non-human identities?
A: NIST Cybersecurity Framework and zero trust architecture are the best starting points for operational governance, while NHI controls should be mapped to lifecycle, discovery, and access management processes. For agentic environments, teams should also evaluate cryptographic dependencies as part of broader AI risk planning.
👉 Read our full editorial: Cryptographic posture management is becoming core to AI agent governance
