Frequently Asked Questions About Bennu AI
What does “zero-hallucination” actually mean for DevOps automation?
It means Bennu AI never invents commands, fabricates configurations, or infers infrastructure state. Every output maps directly to a pre-approved, tested, and scoped function—like kubectl rollout undo, terraform apply -auto-approve, or docker build --squash. There are no intermediate LLM tokens influencing behavior. What you describe is what executes—exactly, verifiably, and safely.
How does Bennu AI handle complex, multi-step debugging scenarios?
It treats debugging as a structured investigation: gathering telemetry (logs, metrics, traces), identifying deviation from baseline, isolating contributing components (e.g., ingress controller misconfiguration + missing readiness probe), selecting validated remediation functions, executing them in dependency order, and validating success via observable outcomes—not just exit codes.
Can Bennu AI operate in highly restricted or air-gapped environments?
Yes. Bennu AI runs locally on your infrastructure—no external API calls, no model inference in the cloud, no telemetry egress. All logic, function libraries, and validation rules are embedded and updatable via your internal artifact repository. Ideal for defense, energy, and critical infrastructure sectors.
Does Bennu AI support custom policies or compliance frameworks?
Absolutely. You define enforcement rules (e.g., “No public S3 buckets,” “All containers must run as non-root”) as declarative policies. Bennu AI evaluates every proposed action against them—blocking violations and suggesting compliant alternatives. Supports CIS Benchmarks, NIST SP 800-53, and custom org-specific standards.
How does Bennu AI integrate with incident response workflows?
It plugs directly into PagerDuty, Opsgenie, and Slack alerts—converting incident signals into automated diagnostics and remediation sequences. Post-incident, it auto-generates RCA reports with timelines, executed functions, and infrastructure state snapshots—accelerating blameless retrospectives and continuous improvement.