A Cybersecurity Playbook for AI Adoption

A Cybersecurity Playbook for AI Adoption argues that while AI adds real value to security today, it cannot yet serve as a single guardian and must be combined with deterministic, proven safety practices. It describes two planes of cybersecurity operations: a sense-and-think plane for data collection, anomaly detection and risk scoring, and a decide-and-act plane for enforcement such as blocking connections or revoking credentials, with the latter needing deterministic, explainable outcomes.

The piece sets out a six-question “Determinism Test” to decide when AI should merely advise and when human or rule-based validation must govern actions. It also prescribes security guardrails, including policy-as-code, a Policy Decision Point, evidence preservation, canary testing for new models, and tightly governed exception workflows, all aimed at keeping AI within controlled, auditable boundaries.

The article notes AI’s growing role, with 60% of organisations reportedly using AI in their IT infrastructures by 2025, while stressing that core foundations like identity and access controls, network segmentation, signed artifacts and reliable telemetry remain essential. It cites guidance from the National Institute of Standards and Technology (NIST) about model drift and the need for regular maintenance of AI systems.