Build your AI action plan with JetStream, now FedRAMP High certified.
Former Department of Homeland Security cybersecurity leader, Paul Loeffler, explains why you need to govern your AI now, not after the fact. We will build the plan with you.
Why this matters now
The directive puts CISA in the lead for defending civilian federal systems while agencies move fast on AI. Upgrading for AI without governance widens your attack surface instead of shrinking it. That is the gap we close.
Build your 90-day action plan
JetStream governs your AI from inside your own boundary, not as a proxy or an endpoint agent bolted on afterward. Proxies see only the traffic routed through them, and endpoint tools miss the agentic context. We give you one place to see, govern, and prove every agent, model, and identity, led by people who ran federal cybersecurity programs firsthand.
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The 90-day action plan
Five steps to put your AI under governance in 90 days, whatever your seat. Wherever you are in the window, we will tailor the plan with you.
Phase 0.
Discover and inventory every AI actor
Action: Build a live inventory of every AI agent, model, tool, and the identities behind them.
Why: You cannot report or defend what you cannot see. (EO Section 2)
For your lane: Federal reports to CISA. SLED answers grant reviewers. Contractors show their agency customer.
Step 1.
Document approved designs before deployment
Action: Define how each agentic workflow should run before it goes live.
Why: Agentic systems are systems, not prompts. Approve them in advance, not after an incident.
For your lane: Every authority signs the same artifact, an approved design.
Step 2.
Bind every agent to an accountable identity
Action: Give each agent least-privilege, revocable authority tied to a named owner.
Why: What you cannot attribute, you cannot trust or shut off. (EO Section 4)
For your lane: Least privilege and instant revocation, in any environment.
Step 3.
Watch runtime for drift
Action: Compare live agent behavior against the approved design, continuously.
Why: AI changes without a code deploy. Catch drift the moment it happens.
For your lane: Detection reads against whatever baseline your lane requires.
Step 4.
Make it reportable, and ready for the directive
Action: Produce the audit-ready record that proves your AI is governed.
Why: The directive points to the AI agent as a reportable asset. FedRAMP High is the trust baseline (expected June 2026).
For your lane: CDM and OMB for federal, GovRAMP and SLCGP for SLED, a FedRAMP service offering for contractors.
