cybersecurity
- AI Strategy (429)
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How to Secure AI Assistant Access to Your Email Inbox
A practical permission model and rollout checklist for letting AI assistants search, draft, and send email without losing account, approval, or policy control.
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A Funding Playbook for AI Cyber Resilience Startups
A practical playbook for proving demand, pricing shared value, and financing AI cyber resilience before a crisis creates urgency.
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AI Agent Autonomy: How to Design Containment That Holds
A practical framework for limiting AI agent authority, stopping unexpected behavior, and earning safer production autonomy through evidence.
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AI-Enhanced Threat Intelligence: From Feeds to Decisions
A practical operating model for turning threat intelligence and internal exposure data into faster, evidence-backed security decisions with controlled AI autonomy.
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How to Plan for Slower Frontier AI and Persistent Risk
A practical operating model for investing in AI while controlling permissions, blast radius, detection, containment, and recovery.
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How Autonomous AI Changes the Work of Product Leaders
A practical operating model for delegating ambitious work to autonomous AI while preserving human judgment, decision rights, security, and accountability.
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How Product Leaders Should Govern Frontier AI Releases
A practical release gate for assessing frontier-model capability, misuse controls, enterprise privacy, and dependency risk before you ship.
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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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