Insights
Practical playbooks for MSPs and IT teams covering triage, vuln ops, compliance friction, and automation.
Latest
Define vulnerability scanner health SLOs for fresh, complete assessment evidence, with explicit indicators, error budgets, ownership, and breach response.
Detect vulnerability scan failures that remain hidden behind successful jobs by reconciling expected asset-method evidence and testing each control stage.
Build vulnerability scanner health monitoring around scope, assessment depth, execution, identity, and evidence delivery instead of relying on job status alone.
Conduct an evidence-based AI ticket routing post-incident review that turns failures into verified prevention, detection, containment, and recovery controls.
Build an executable AI ticket routing incident runbook with clear entry conditions, scoped containment, evidence capture, diagnostics, and recovery gates.
A practical framework for detecting, containing, investigating, and recovering from AI ticket routing incidents without losing decision evidence.
Detect and investigate unauthorized compliance evidence deletion by correlating activity, authorization, lineage, recovery, and downstream audit impact.
Run a defensible permission review across compliance evidence repositories by resolving effective access, testing role policy, and verifying remediation.
Build an operational access governance model for compliance evidence repositories, including role design, destructive-action controls, reviews, and investigation evidence.
Detect explicit and hidden vulnerability scan exclusions, validate their authority, measure affected assets and methods, and restore trustworthy evidence.
Build a control-focused vulnerability scanner baseline that captures scope, assessment depth, execution, authentication, identity, and evidence requirements.
Manage vulnerability scanner configuration drift by baselining control-defining settings, detecting operational changes, and verifying corrections with fresh evidence.
Design production alerts for routing drift using safety invariants, segmented baselines, minimum volumes, severity, and response runbooks.
Build a production dashboard that connects routing health, policy actions, corrections, operational impact, and event-level evidence.
A practical framework for observing AI ticket routing decisions, measuring production quality, and investigating unsafe changes.
Use hashes, immutable object versions, and manifests to verify that reviewed compliance evidence has not been silently altered or replaced.
Define a practical provenance metadata schema that makes compliance evidence traceable from authoritative source through review and retention.
Build an operational chain of custody for compliance evidence from source collection through transformation, review, retention, and audit delivery.
Measure vulnerability scan coverage for autoscaling instances, containers, and short-lived cloud workloads without relying on misleading point-in-time host counts.
Reconcile vulnerability scanner targets with authoritative asset inventory to find missed systems, stale records, ambiguous identities, and invalid scope.