How CISOs Can Build an Effective 90-Day AI Security Strategy (medium.com)

A practical 90-day playbook for CISOs outlines how to defend “at machine speed” as attackers use AI to automate phishing, reconnaissance, vulnerability scanning and social-engineering. The guidance frames AI risk across an expanding attack surface—internal models, third‑party LLMs and shadow‑AI tools—and prescribes a three‑pillar defense: Protect (real‑time detection and automated prevention across endpoints, network and cloud), Assist (AI‑augmented triage, alert enrichment and playbook automation under analyst supervision) and Secure‑AI (controls for prompt‑injection/data‑leakage, model poisoning, restricted agent permissions and output filtering). Key technical controls include egress monitoring for LLM traffic, PII masking, least‑privilege agent access, RBAC/ABAC, SSO/MFA, rate limits and audit logging. The 90‑day roadmap is concrete: Days 0–30 map and govern—inventory AI dependencies, publish acceptable use, stand up an AI risk review board and deploy LLM egress monitoring; Days 31–60 pilot and harden—AI‑assisted alert triage, behavior‑based phishing detection, red‑teaming prompts and building an AI app registry; Days 61–90 automate and scale—automate high‑volume playbooks with human checkpoints, bake AI checks into the SDLC and enforce guardrails. Procurement and policy checklists cover data retention/finetuning rules, red‑team reports, exit strategies and SLAs. Measure MTTD/MTTR, alert compression, detection precision, blocked egress attempts and model integrity (drift/anomalies) before scaling.