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02/08/2026 11:41 am
TL;DR: As attacks compress to hours and exploit quality improves, the Mythos-ready checklist focuses on faster patching, AI pentesting, agent permission scoping, supply chain review, and security gates for AI-generated code, according to Aikido. The practical shift is from periodic review to continuous control of code, dependencies, and agentic access before attackers act.
NHIMG editorial — based on content published by Aikido: A practical CTO security checklist to be Mythos-ready
Questions worth separating out
Q: How should security teams govern AI-generated code in production environments?
A: Security teams should treat AI-generated code as normal production code with extra provenance risk.
Q: Why do AI-speed attacks change the way teams think about patching?
A: Because the window between disclosure and exploitation can now be measured in hours, not days.
Q: What breaks when AI-generated code is reviewed without security gates?
A: What breaks is the assumption that a clean-looking diff is a safe diff.
Practitioner guidance
- Measure patch latency end to end Track the time from critical patch availability to production deployment, then break the process into approval, testing, and rollout stages so bottlenecks are visible.
- Scope every coding agent like a privileged workload Define exactly what each agent can read, write, execute, and reach, and remove access that is not needed for the current task.
- Gate AI-generated code before production Require review for generated tests, infrastructure configuration, and dependency changes, not just application code.
What's in the full article
Aikido's full checklist covers the operational detail this post intentionally leaves for the source:
- Practical AI pentesting guidance for application teams that need to validate attack paths before release.
- Checklist items for scoping coding agents and MCP servers as production-accessing identities.
- Review controls for AI-generated code, generated tests, infrastructure configuration, and dependency changes.
- Operational focus on patch timing, supply chain trust, and incident response for AI-speed attacks.
👉 Read Aikido's Mythos-ready security checklist for application and agentic controls →
Mythos-ready app security: are your controls moving fast enough?
Explore further
02/08/2026 12:53 pm
AI-speed attack windows are now a governance problem, not just a tooling problem. When exploit creation drops from days to hours, the real control question becomes whether organisations can move policy, testing, and remediation quickly enough to matter. That shifts attention from point-in-time assurance to continuous control enforcement across code, infrastructure, and access paths. Practitioners should treat exploit latency as a board-level risk metric, not a security footnote.
A question worth separating out:
A: They should treat those agents as governed non-human identities. Inventory their permissions, separate creation from approval, and limit their access to the smallest set of repositories, registries, and deployment paths needed for the task.
👉 Read our full editorial: Mythos-ready application security needs AI-speed controls
