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02/08/2026 12:24 pm
TL;DR: OWASP, CSA, NIST, and MITRE each address different parts of AI security, but the article argues that agentic systems still create gaps across orchestration, runtime behaviour, and adversarial testing, according to Straikerai. The core issue is that governance frameworks alone do not cover agent identity, tool misuse, and multi-step attack paths well enough for autonomous AI.
NHIMG editorial — based on content published by Straikerai: Comparing AI Security Frameworks: OWASP, CSA, NIST, and MITRE
Questions worth separating out
Q: What breaks when AI agents are treated like standard human users?
A: You lose visibility into effective permissions, expected behaviour, and real blast radius.
Q: Why do AI-era threats force security teams to rethink identity controls?
A: Because AI increases the speed and scale of identity events.
Q: How can teams tell whether agentic access controls are actually working?
A: Look for evidence that every privileged action is logged with actor type, target resource, and policy decision, and that denied requests are being blocked before execution.
Practitioner guidance
- Define separate control owners for governance, design, and adversary testing Assign NIST AI RMF ownership to governance teams, OWASP and CSA mapping to architecture teams, and MITRE ATLAS validation to red and purple teams.
- Inventory every agent tool connection and delegated permission Catalogue which agents can call which tools, which credentials they use, and whether any access is inherited from human or service accounts.
- Bind agent runtime actions to task-scoped identity controls Require explicit approval boundaries, short-lived credentials, and logs that show which task authorized each action.
What's in the full article
Straikerai's full post covers the framework-by-framework comparisons and the operational gaps this post intentionally leaves at a higher level:
- Detailed breakdown of OWASP, CSA, NIST, and MITRE strengths and gaps for agentic AI security
- Framework comparison table showing which risks each standard covers and where coverage stops
- Discussion of Straikerai's STAR framework as a proposed response to agentic AI gaps
- Source examples tied to prompt injection, tool misuse, orchestration, and runtime monitoring
👉 Read Straikerai's comparison of OWASP, CSA, NIST, and MITRE for AI security →
AI security frameworks for agents: are OWASP, CSA, NIST, and MITRE enough?
Explore further
02/08/2026 1:23 pm
Framework plurality is now a governance requirement, not a maturity signal. Security teams should not treat OWASP, CSA, NIST, and MITRE as competing choices. Each framework answers a different question about agentic AI risk, and the article correctly shows that coverage gaps appear when organisations try to force one framework to do all the work. The practical conclusion is to assemble a control stack, not a single framework narrative.
A question worth separating out:
Q: Should organisations use OWASP, CSA, NIST, or MITRE for AI security?
A: They should use the frameworks together, because each addresses a different layer of the problem. OWASP is useful for application risk, CSA for orchestration and autonomy, NIST for governance and accountability, and MITRE for adversary behaviour. The right choice is not one framework, but a mapped set of controls across all four.
👉 Read our full editorial: AI security frameworks diverge on agentic risk, governance, and attack paths
