L4–L5 autonomy
Agentic AI selects and executes playbooks; humans only see novel or high-risk incidents.
🇺🇸 San Francisco
Incident Response Automation in San Francisco
Incident response automation is the practice of executing the detect → diagnose → remediate → verify → document loop without human intervention. Modern systems pair anomaly detection with a library of remediation playbooks, select the right playbook, execute the fix in production, verify the outcome, and log the action. SentienGuard detects infrastructure incidents, selects a remediation playbook, executes controlled fixes, verifies recovery and records the evidence.
Local operating context
Bay Area infrastructure economics are dominated by senior SRE compensation — average loaded cost runs $215K+. Autonomous resolution converts that headcount cost from a linear growth axis to a near-flat one as nodes scale.
A representative 500-node Team deployment is approximately $24,000/year. Pro tier estimate: 500 nodes × $4/endpoint/month annual commit. FX rates as of 2026-05. See /pricing for canonical USD pricing.
Capabilities
Detect → resolve in <90s
End-to-end pipeline finishes faster than most alerting tools page on-call.
Covers ~99% of recurring incidents
Disk, pods, connection pools, certs, memory, logs, network, DNS, health checks, LBs.
Verification + rollback
Re-checks the anomaly post-fix; reverts and escalates if verification fails.
Compliance evidence inline
SOC 2 CC7.x, HIPAA §164.312(b), PCI-DSS 10.x, GDPR Article 30 satisfied natively.