cybersecurity
- AI Strategy (315)
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Claude Fable 5.1: A Practical Adoption Guide for AI Leaders
A practical framework for deciding where Claude Fable 5.1 belongs, how to test its judgment, model whole-run cost, and govern sensitive use.
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Enterprise AI Agent Audits: A Framework for Safe Execution
A practical framework for proving that enterprise AI agents complete real work, stay within authority, leave evidence, and recover safely.
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AI Agent Data Privacy: A Product Leader’s Launch Playbook
A launch-ready framework for mapping AI agent data flows, minimizing collection, redacting traces, setting retention, and testing every control.
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How to Design AI Systems That Keep Humans in Control
A practical framework for deciding what AI may do, where approvals belong, how to stop and recover actions, and how to preserve human judgment.
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Governing AI Security Beyond the Open-Weights Debate
A practical operating model for product leaders to govern jailbreak disclosure, open-weight releases, agent containment, and incident-response readiness.
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How Product Leaders Should Govern Open and Closed Frontier AI
A practical framework for choosing open or closed frontier models, limiting agent blast radius, and building security brakes your team can test.
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The July 2026 AI Evaluation Lab Leak: A Leader’s Playbook
A practical governance and containment playbook for testing dangerous model capabilities without turning an internal evaluation into a real-world incident.
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China AI Safety Governance at WAIC 2026: A Product Playbook
A practical playbook for turning China’s WAIC 2026 signals on loss of control, agent boundaries, and cyber risk into product decisions.
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Secure System Access for AI Agents: A Phased Control Model
A practical framework for giving AI agents narrowly scoped system access through phased permissions, independent controls, and measurable safeguards.
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A Layered Playbook for Package Supply Chain Security
A practical framework for reducing package risk through delayed adoption, script controls, provenance checks, dependency pinning, and AI guardrails.
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Package Hack Wake-Up Call: My Playbook for Securing Cowork, Coding Agents, and Secrets
A recent wave of malicious package hacks pushed me to level up my security posture without slowing down my AI workflows. In this piece, I break…
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Broken Procurement Is Costing You Talent: A Product Leader’s Playbook for Speed and Sanity
Procurement should accelerate value, not block it. In this episode recap and analysis, I unpack how sprawling forms, overreaching security reviews, and unclear ownership repel the…
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AI Product Data Security: A Practical Playbook for PMs
A practical playbook for mapping AI data flows, assigning risk, selecting vendors, and embedding security controls without blocking delivery.
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Behavioral Analytics That Crush Fraud: Spot Anomalies, Prioritize Risk, Act with Confidence
Fraud teams don’t need more alerts—they need clarity, speed, and confidence. Behavioral analytics delivers that by surfacing true anomalies, prioritizing risk by impact, and enabling fast,…
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How to Build AI-Enabled Cybersecurity Operations Safely
A practical 90-day model for using AI in threat detection and incident response with clear authority limits, metrics, and governance.
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Recruitment Impersonation Scams: A Playbook for Leaders
A practical playbook to help leaders make real jobs verifiable, triage impersonation reports, and guide candidates after data or money is exposed.
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How Product Leaders Can Prevent Recruitment Impersonation Fraud
A practical control system for verifying recruiters, limiting candidate data exposure, triaging scam reports, and protecting brand trust.
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AI Risk Governance: An Operating Model for Cyber Defense
A practical operating model for classifying AI workflows, matching autonomy to risk, instrumenting defenses, and scaling safely in 90 days.
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