What Binary Intelligence does in production
Specific scenarios where autonomous self-healing replaces manual T1/T2 work.
Service Degradation Auto-Remediation
Problem: A critical service starts failing intermittently. Alerts fire. A T1 engineer is paged. They spend 90 minutes triaging logs to identify the root cause, then another hour applying the fix. The same pattern recurs the following week.
Binary Intelligence: Detects degradation against a live model of service health and dependencies, isolates the underlying cause, applies the appropriate remediation inside operator-defined boundaries, and then re-observes the service to confirm it actually recovered. The validated pattern joins operational memory — next occurrence is faster and the operator gets a closed, evidenced loop instead of an open ticket.
Configuration Drift Detection and Correction
Problem: Manual changes accumulate across the fleet. Configuration drifts from baseline. Eventually drift causes an incident — and root-causing it requires reconstructing weeks of changes manually.
Binary Intelligence: Continuously compares live configuration to the policy-defined baseline. Drift is detected as it happens, classified by risk, and either auto-corrected or staged for operator review. After correction, the endpoint is re-evaluated against baseline to prove the drift is closed. The audit trail shows what changed, when, why, and the validated end state.
Patch and Update Management
Problem: Patch cycles are scheduled around guesses about safe windows. When something breaks, identifying which patch caused the problem requires manual investigation.
Binary Intelligence: Observes the impact of every patch and configuration change against the live system model, correlates it with downstream service behavior, and either confirms a healthy post-patch state or initiates rollback inside explicit safety bounds. Validation is part of the cycle, not an afterthought.
Recurring Endpoint Issues
Problem: Same class of endpoint issues recurs across the fleet — disk space exhaustion, service crashes, authentication failures. Each instance opens a ticket, consumes T1 time, and gets resolved in isolation.
Binary Intelligence: Recognizes the recurring pattern across the fleet, applies the same remediation autonomously to every instance, validates each endpoint returned to healthy, and surfaces the underlying systemic issue — rather than treating each occurrence as new.