u/Popula-Emu-udxow1848

The AI governance decision is rarely allow or block.

A more useful split is by capability and consequence. A tool that drafts internal text creates different risk from one that retrieves customer records, writes to a business system, approves transactions, or can trigger production actions.

The challenge is setting boundaries that are clear enough for teams to follow without creating a shadow AI problem.

For security leaders, which factor has been hardest to translate into an enforceable policy data sensitivity, agent autonomy, third party access, auditability, or accountability for decisions made with AI support?

Trying to pin down where DFIR services end and dedicated ransomware incident response begins, because vendor conversations blur the line constantly and I want to make sure we're buying the right coverage. My read so far is that DFIR is broader (forensics and investigation for any incident type, with evidentiary rigor and chain of custody if it needs to hold up for insurance or litigation), while ransomware-specific response bundles in things unique to that scenario, like negotiation support and recovery sequencing around double-extortion threats. Is that distinction accurate or mostly marketing language that falls apart once you're in an engagement?