Why runtime identity is emerging as the next cybersecurity imperative
What happened
SecurityBrief reports organisations are embedding AI agents across customer-facing and internal systems and that these agents are non-deterministic. The piece says legacy IAM and static access lists no longer fully control agent behaviour, making runtime identity enforcement and auditability the key operational constraint to address; watch for vendors publishing runtime policy features and telemetry support
Buyer takeaway
Treat runtime identity as a functional procurement requirement for AI-driven workloads, not an optional security add-on
Cost / money
May increase integration and licensing costs because runtime enforcement and telemetry are often packaged as advanced features
Supplier / commercial
Vendors adding runtime capabilities gain negotiating leverage; contracts should lock scope, SLAs, and telemetry delivery
Safety / operations
Improves operational safety by enabling enforcement and auditing of agent actions at execution time, reducing unpredictable breaches
What to watch
Vendor claims vary; validate actual runtime policy enforcement and log fidelity in proofs-of-concept
Key facts
- AI agents increasingly embedded in customer service and internal copilots
- Agents are non-deterministic and can bypass static access controls
Source excerpts
Without the right controls, an agent may take shortcuts that bypass established safeguards, exposing organisations to operational and security failures
These external agents introduce a new layer of complexity, as organisations must accommodate systems they do not own or control. Each of these agent types has distinct requirements, risk profiles, and trust boundaries
This means establishing clear identities, defining delegation relationships and enforcing controls at runtime
