Explain This: Stop Building AI Security Reading Lists and Start Building Decision Lists
Most AI security source lists fail because they optimize for volume, not decisions. Good intake maps each source to a decision, an owner, and a trigger.
legal-tech
Explain This: AI Security News Needs Buckets Before It Needs More Sources
Most teams do not need more AI security news. They need a simple way to sort product risk, supply chain risk, fraud, and governance signal before reacting.
Explain This: AI security intake needs an evidence ladder, not a feed
If your team is triaging AI security from a social feed, you need an evidence ladder before noise hardens into policy.
Explain This: What NIST's Password Guidance Actually Changed
NIST did not just relax password rules. It shifted accountability toward phishing-resistant MFA and verifier-side controls.
The Docket: OpenAI Buys TBPN and Steps Into Media Governance Risk
OpenAI's purchase of TBPN is not just a media story. It raises disclosure, independence, and governance questions for the most powerful company in AI.
Exhibit A(I): Claude Code Leak Turns Curiosity Into a Malware Trap
A Claude Code source leak became bait for GitHub malware, exposing the legal and operational gap between leaked code and trusted software.
Policy Roast: LinkedIn Wants Enterprise Trust While Secretly Fingerprinting Its Users
LinkedIn's extension fingerprinting scandal is not just creepy. It creates privacy, vendor-risk, and legal exposure for the companies whose employees use it.