1. Architecture Review
Is your agent isolated, auditable, and governed?
Agentic AI Secure Deployment Framework
A Practical Checklist for Architecture Review & Adversarial Testing
The rush to deploy agentic AI in security operations creates a new attack surface. Without intentional architecture design, adversarial testing, and deployment discipline, autonomous agents become amplifiers of risk, not reducers of it.
Three Critical Checkpoints
Organizations that move through all three survive the next 18 months with their agent as a genuine force multiplier. Those that skip steps will end up explaining their AI's decisions to their board and incident response counsel.
2. Adversarial Testing
Can you break it? Will it fail gracefully?
3. Deployment Governance
Do you have human control? Can you kill it instantly?
This framework is free. Use it. Test your agent against it before it touches production.
Architecture Review
Before your agent touches any control, answer these questions. If you cannot confidently answer Yes, your architecture has a gap.
| Checkpoint | Decision | If No, This Creates Risk |
|---|---|---|
| Isolation | Network-isolated, credential-isolated sandbox? | Lateral movement. Credential theft. Cascading compromise. |
| Permission | Can you list exactly what APIs the agent can touch? Minimum required? | Over-privileged agent. Unauthorized data access. Audit failure. |
| Kill Switch | Single, human-executable command to disable instantly? | Runaway agent. Uncontrollable decisions. Reputational damage. |
| Audit Trail | Every decision logged (timestamp, input, reasoning, action)? | Forensic blindness. Investigation failure. Compliance violation. |
| Escalation | Decisions above threshold require human approval first? | Autonomous bad decisions. No override. Board liability. |
| Rollback | Can you restore environment to known good state if agent causes damage? | Unrecoverable compromise. Extended downtime. Slow recovery. |
Adversarial Testing
Red-team your agent before production. Run these scenarios. Document results.
| Test Scenario | What You're Checking | Pass Criteria |
|---|---|---|
| Poisoned Data | Can a compromised data source trick the agent into bad decisions? | Agent rejects or escalates. No unvalidated execution. |
| Hallucination | Does the agent invent data or actions that do not exist? | Acknowledges uncertainty. Escalates. Does not assume. |
| Privilege Escalation | Can the agent use valid credentials to access beyond scope? | Access denied or logged. Agent stays in boundary. |
| Graceful Failure | When APIs fail or the decision tree breaks, does it fail safely? | Pauses, logs error, escalates. Does NOT proceed blindly. |
| Audit Visibility | Can you reconstruct every decision from the last 24 hours? | Full chain visible in logs. Complete decision history. |
| Override Speed | How fast can a human stop the agent if it starts failing? | Kill switch under 30 seconds. Agent stops immediately. |
Deployment Phases
Earn autonomy in stages. Each phase expands the agent's authority only after the previous phase proves control.
1
Observation Only
Agent detects, humans execute.
2
Low-Risk Automation
Agent handles enrichment and triage.
3
Decision Automation
Agent makes bounded decisions with human escalation.
4
Unrestricted
Only after 30 days of zero escalations in Phase 3.
Go Deeper: The Control Library
The framework tells you what to check. The Control Library tells you what to build.
28 audit-ready controls across 8 domains, mapped to NIST CSF 2.0, ISO 27001, CSA CCM, PCI DSS, and CIS. Includes a self-assessment workbook and GRC import formats.
Put It to Work
Test your agent against the framework before it touches production.
Download the checklist, or bring your architecture to an executive briefing and we'll walk through it together.