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22/06/2026 9:57 am
TL;DR: AI systems, quantum readiness, and machine identity growth are converging into one operational problem: trust infrastructure can no longer be treated as background plumbing, according to Keyfactor. The core issue is not awareness but execution, because static trust models break when identities, certificates, and cryptographic assumptions move faster than manual governance can follow.
NHIMG editorial — here’s why we think this discussion matters
Questions worth separating out
Q: How should security teams govern machine identities when trust assumptions keep changing?
A: Security teams should treat machine identities as continuously changing assets with clear ownership, expiry, and policy enforcement.
Q: Why do machine identities make trust governance harder than human identity governance?
A: Machine identities scale faster than human identities, appear in more places, and often lack consistent ownership.
Practitioner guidance
- Map trust dependencies across identity and cryptography Create a current inventory of certificates, keys, machine identities, and the services that depend on them.
- Automate certificate and identity lifecycle workflows Replace ticket-driven renewal and revocation with policy-based workflows for issuance, rotation, expiry handling, and revocation.
- Assign clear ownership for cryptographic assets Make it explicit which team is responsible for cryptographic policy, certificate hygiene, and algorithm transition planning.
What to expect at the briefing
Keyfactor's full blog covers the operational detail this post intentionally leaves for the source:
- The conference framing and agenda rationale behind Keyfactor Tech Days becoming The Trust Security Conference
- The article's own breakdown of how AI, quantum, and machine identity pressures converge in trust operations
- The practical event messaging and attendance details for practitioners who want to hear the vendor's full positioning
- The broader brand and community context around why Keyfactor is centring trust as a discipline
👉 Read Keyfactor's perspective on why trust infrastructure is becoming critical infrastructure →
Trust infrastructure on February 23, 2027: what IAM teams need now?
Explore further
22/06/2026 10:38 am
Trust has become a governance category, not an infrastructure detail. The post is right to treat trust as something that sits at the intersection of identity, cryptography, infrastructure, and emerging technologies. That matters because the control plane is now broader than PKI alone, and the consequences of poor coordination show up first as identity blind spots. Practitioners should treat trust as a shared governance domain spanning NHI, machine identity, and human identity operations.
A few things that frame the scale:
- Only 44% of developers are reported to follow security best practices for secrets management, exposing a significant developer behaviour gap, according to The State of Secrets in AppSec.
- The average estimated time to remediate a leaked secret is 27 days, despite 75% of organisations expressing strong confidence in their secrets management capabilities.
A question worth separating out:
Q: Who should own trust infrastructure across PKI, IAM, and machine identity controls?
A: Ownership should be explicit and shared across the teams that manage identity lifecycle, cryptographic policy, and infrastructure dependencies. No single group can govern trust effectively if the controls are split between disconnected functions. Clear accountability prevents gaps where identities persist, certificates expire, or transition plans stall.
👉 Read our full editorial: Trust infrastructure is becoming critical infrastructure for identity security
