"risk management"

Most organizations aren't there yet. As agentic AI moves closer to production, that readiness gap is becoming harder to ignore.

State-level AI laws are widely disparate. Congress might craft a comprehensive federal AI law. If so, "federal floor, state ceiling" might w...

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...

For decades, many organizations viewed FedRAMP primarily as a government procurement hurdle. History may ultimately remember it differently.

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.