How do I build a business case for AI agent security?

The business case for AI agent security is risk mitigation math — the expected cost of an ungoverned AI agent incident (probability × impact) almost always exceeds the cost of governance infrastructure by 10-100x.

Frame the business case around three pillars:

1. Risk reduction: Without governance, every AI agent deployment is a potential PocketOS-level incident (30-hour outage, data loss). With Exogram, destructive operations are deterministically blocked. The ROI calculation: (probability of incident × cost of incident) vs. cost of governance.
2. Compliance enablement: AI agent governance isn't optional — it's required by SOC 2, GDPR, EU AI Act, HIPAA, and NIST AI RMF. Without it, you can't pass audits. With it, compliance evidence is generated automatically.
3. Velocity unlocking: Teams deploy AI agents faster when governance exists. Without it, every deployment requires manual security review, slowing innovation. With deterministic enforcement, agents can be deployed with confidence — governance happens automatically at the execution boundary.

Exogram's pricing is designed for this exact conversation: Free tier to prove the concept (500 calls/month), Pro at $99/month (cheaper than one hour of incident response), Developer at $2.50/1K calls (scales with usage), Enterprise with custom SLAs.