Agentic runtime security and NHI control gaps: what changes now?

TL;DR: Agentic AI is expanding the attack surface while reducing attacker breakout time to less than an hour, and organisations still struggle to combine near real-time visibility with practical identity governance, according to Orca Security’s webinar coverage. The key issue is no longer just runtime monitoring but whether cloud security programmes can govern non-human identities, telemetry, and response fast enough to keep pace.

NHIMG editorial — based on content published by Orca Security: Runtime Reinvented, how agentic AI is transforming cloud native protection

By the numbers:

• Only 44% of organisations have implemented any policies to manage their AI agents, despite 92% agreeing that governing AI agents is critical to enterprise security.
• Systems with least-privileged AI access had a 17% incident rate vs 76% for over-privileged systems.

Questions worth separating out

Q: How should security teams handle runtime visibility for non-human identities?

A: Security teams should tie runtime visibility to the identities actually driving workload behaviour, including service accounts, tokens, and AI-driven automation.

Q: Why does agentic AI change runtime security assumptions?

A: Agentic AI changes runtime security because it can accelerate both attack execution and defensive analysis.

Q: What breaks when runtime monitoring has no identity context?

A: Without identity context, runtime monitoring can show that something happened but not who or what was authorised to do it.

Practitioner guidance

• Correlate runtime telemetry with identity metadata Link process, network, and cloud control-plane events back to the workload or service identity that initiated them.
• Set response targets around attacker breakout time Benchmark how long it takes your team to detect, triage, and contain suspicious runtime behaviour, then compare that to the current less-than-an-hour breakout window described in the article.
• Review where agentless coverage is insufficient Identify cloud estates, container clusters, and high-value workloads where sensorless visibility leaves identity-linked activity too thin for reliable response.

What's in the full article

Orca Security's full webinar coverage leaves the operational detail for the source:

• How the speakers distinguish agent-based from sensor-based runtime approaches in production cloud environments
• Where eBPF-style telemetry fits when teams need lower-overhead visibility into workload behaviour
• Why the discussion links AI-driven response with identity management and non-human identity growth
• Which practical trade-offs the speakers raise for organisations trying to modernise runtime protection

👉 Read Orca Security's webinar coverage of runtime security and agentic AI →

Agentic runtime security and NHI control gaps: what changes now?

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