"risk management"

Google has released their proposed framework on AI governance in America. I unpack it. An AI Insider analysis and scoop.

The same weaknesses leave organizations exposed to both AI-enabled attacks and delayed cryptographic migration.

Telling the model to behave does not work. Probabilistic systems do not yield deterministic security outcomes, no matter how carefully the s...

Here's how AI agents can be secured like software, managed like employees and budgeted like human CapEx.

As banks race to turn AI into enterprise-wide intelligence, Revolut's PRAGMA model offers a glimpse of where digital banking and financial s...

Agentic AI boosts productivity but risks costly errors without governance. Enterprises must balance autonomy with accountability, guardrails...

Thoughts on safely deploying OpenClaw, emphasizing testing, benchmarks, infrastructure, costs, and autonomous AI risk management.

Embracing agentic AI requires a complete rewrite of the enterprise playbook.

Faster does not always mean safer, and finding more vulnerabilities is not the same thing as reducing meaningful exposure.

Enterprises are deploying AI agents at a pace that their security and governance functions were not built to absorb.

AI risk isn’t just about regulation or replacement. It’s about where uncertainty belongs and who absorbs the consequences when systems don’t...

Corporate leaders who assume unconditional support from investors for aggressive AI deployment may want to think again.