Topic starter
09/07/2026 1:40 pm
TL;DR: Akeyless's analysis of 400 IT and security leaders finds only 7% believe current controls would stop a compromised agent from operating. That pushes identity governance from credential protection toward runtime authority, where action-level control matters after authentication succeeds.
Editorial analysis by NHI Mgmt Group, based on content published by Akeyless: “Runtime Authority and Zero Standing Privilege for the Autonomous Enterprise”.
By the numbers:
- Only 7% of organisations believe their current controls would actually prevent a compromised agent from operating.
- Akeyless' 2026 State of AI Agent Identity Security report is based on a survey of 400 IT and security leaders.
- Research cited by Akeyless says machine identities now outnumber human identities by more than 140 to 1.
Key questions
Q: When should organisations prioritise runtime authority over more secret rotation?
A: Prioritise runtime authority when authenticated identities can still cause damage after login, especially for AI agents, workloads, and privileged service accounts.
Q: What are the signs that machine identity management is failing in an organisation?
A: Common signs include incomplete inventory, spreadsheet based tracking, manual renewal processes, unclear ownership, and repeated certificate expiry events.
Q: What breaks when AI agents keep standing credentials?
A: The access model breaks because the agent can continue acting after the human has moved on, the workflow has shifted, or the original approval is no longer relevant.
Practitioner guidance
- Replace standing machine permissions Inventory service accounts, API keys, and agent credentials that remain valid outside a specific task, then phase out any access that is not issued just in time for execution.
- Move policy checks to execution time Require sensitive actions to pass through a runtime enforcement point so intent, task context, and approved scope are checked before the action reaches production systems.
- Separate credential custody from agent execution Ensure autonomous agents do not hold reusable secrets, tokens, or passwords directly, and broker access only through ephemeral issuance channels.
Bottom line: Static credentials are not the only problem. The larger issue is that valid machine access can still be abused after authentication succeeds.
Glossary terms: Runtime authority, Zero Standing Privilege, Dynamic Ephemeral Identity, Machine Identity
What's in the full article
Akeyless's full article covers the operational detail this post intentionally leaves for the source:
- How runtime authority brokers requests before credentials are issued to an agent
- Architectural detail on zero credentials on the agent and zero direct connectivity
- Examples of containerised runtime enforcement close to production systems
- Deployment patterns for combining ephemeral identity, ZSP, and policy checkpoints
👉 Read Akeyless's analysis of AI agent identity security and runtime authority →
Explore further
View Full Forum → | NHI Foundation Course → | Our Services → | Read the full analysis →
This topic was modified 1 day ago by NHI Mgmt Group
09/07/2026 1:44 pm
Runtime authority is the missing control plane for AI agent identity security: static credentials answer who can enter, but they do not answer what the identity is allowed to do once inside. That distinction is now central because AI agents and machine workloads can chain actions at runtime faster than human review cycles can react. Practitioners should treat action control as a first-class identity function, not a monitoring afterthought.
A few things that frame the scale:
- 80% of identity breaches involved compromised non-human identities such as service accounts and API keys, according to the Ultimate Guide to NHIs.
- 73% of vaults are misconfigured, leading to unauthorised access and exposure of sensitive data, according to the Ultimate Guide to NHIs.
A question worth separating out:
Q: How should teams govern AI agent access to production data?
A: Treat agent actions as runtime events that need policy checks at execution time, not just pre-approved credentials. High-risk reads, writes, and deletes should be bounded by context, session limits, and approval gates that apply before the command completes.
👉 Read our full editorial: AI agent identity security needs runtime authority, not static access