All articles — Page 6
The complete archive, newest first: AI security, governance and operational risk for people who work with high-trust information.
- 21/09/2026 Treat AI confidence as a signal, not as proof
- 21/09/2026 AI provider terms as a risk surface per tier
- 20/09/2026 Astra for Law forces firms into governance per matter
- 18/09/2026 Model drift is a structural property of LLMs
- 18/09/2026 Governing Astra for Law plugins
- 18/09/2026 Demonstrating human oversight of AI decisions requires a logging layer per high-risk decision
- 17/09/2026 LawZero as a publicly funded AI alternative: what to weigh per workflow
- 17/09/2026 US AI safeguards become concrete: what to record per model and workflow
- 17/09/2026 OpenAI treats model misalignment as a reportable incident: how to set up your own governance
- 16/09/2026 GDPR accountability for AI agents: why your governance must be reviewed per agent and per session
- 16/09/2026 Managing personal data in vector databases: why embeddings are not anonymous storage
- 16/09/2026 Managing multilingual privacy documents: why translation becomes a governance object
- 16/09/2026 Why fixed verification routines—not just scepticism—protect decision-making from AI hallucinations
- 16/09/2026 Verifying routing, trust anchors and robot control before you call an AI workflow reliable
- 15/09/2026 Demonstrable control over AI use by lawyers: from data practices to matter accountability
- 15/09/2026 Why one AI model cannot reliably check its own answers: the limits of self-verification
- 15/09/2026 Binding legal AI to one content layer: what you must be able to demonstrate per workflow
- 15/09/2026 Choosing local versus cloud AI per workflow: what to audit before 'local' delivers privacy
- 15/09/2026 Standards body for AI safety testing: what you must now be able to demonstrate per workflow
- 14/09/2026 Setting up multi-model verification: why model diversity matters more than more models