Identity & Access
How to Run an AI Agent Access Review
A step-by-step procedure for reviewing what every AI agent can access, who owns it, and whether its actual usage still matches its granted scope.
Blog
Insights & updates
AI agent security, identity, governance, cost, and the engineering behind the control plane.
Platform & Operations
Slack and Multi-Channel Alerting
Route AI agent budget alerts, guardrail violations, and task failures to Slack and other channels with a reliable, tenant-isolated dispatcher pattern.
Platform & Operations
How to Measure AI Agent Governance Effectiveness
The leading and lagging indicators that show whether an AI agent governance program is actually working, and how to avoid vanity metrics.
Platform & Operations
How to Build an AI Agent Onboarding Process
A numbered onboarding procedure for AI agents, with an owner and evidence artefact at each step, from request intake to monitoring activation.
Platform & Operations
Unsubscribe, Suppression, and Preference Centers
Build a compliant email opt-out system with enforced suppression lists, per-category preferences, and bounce handling that protects your sender reputation.
AI Governance & Compliance
How to Build an AI Agent Risk Register
A step-by-step procedure for building an AI agent risk register, from identifying risk categories to assigning owners and a review cadence.
Platform & Operations
AI Agent Governance for Platform Engineers
What platform engineers own when AI agents run in production: identity issuance, policy enforcement, guardrail wiring, and the artefacts to prove it works.
Platform & Operations
Transactional Email and Templates
Reliable transactional email for AI platforms: how consistent templates, authenticated sending, and delivery safeguards keep security and billing flows intact.
AI Governance & Compliance
AI Agent Governance for CISOs
What CISOs are accountable for as AI agents enter production, the questions they will be asked, and the artefacts they need to answer them.
Platform & Operations
Writing Runbooks for AI Agent On-Call
AI agent on-call runbooks need decision trees for runaway spend, guardrail bypass, and stuck queues, not just restart-the-service steps.
Platform & Operations
Web Push Alerts for AI Operations
Browser push notifications deliver agent failures and budget alerts to operators the moment they happen — no open tab or email check required.
Platform & Operations
Multi-Region Failover for AI Agent Workloads
Multi-region failover for AI agents means deciding what fails over and what must stay pinned — control plane logic differs from tenant data. A practical design.
Platform & Operations
Golden Signals for Agent Services
The four golden signals — latency, traffic, errors, saturation — need a fifth for agent services: task outcome quality, since correct output is a distribution.
Platform & Operations
In-App Notifications That Cut Through
How a purpose-built in-app notification system keeps AI platform operators informed of critical agent events and alerts without noise or alert fatigue.
Platform & Operations
Disaster Recovery for an AI Control Plane
Disaster recovery for an AI control plane means restoring policy, audit chain, and credentials from backup, distinct from live regional failover.
Platform & Operations
Chaos Engineering for Agent Systems
Chaos engineering for agent systems means injecting tool, provider, and guardrail failures deliberately, before an incident does it for you.
Platform & Operations
Auth Monitoring and Login Security
How to capture, aggregate, and act on authentication events in your AI platform so credential attacks surface in minutes, not days.
AI Governance & Compliance
Change Management for Agent Configurations
Change management for agent configurations governs model, tool-scope, and budget edits with approval and audit, distinct from a canary or a policy cutover.
Platform & Operations
Capacity Planning for AI Agent Fleets
Capacity planning for agent fleets means forecasting token budgets and provider rate-limit headroom, not CPU or memory. A method for doing it right.
Platform & Operations
Visualizing AI Usage and Cost
Charts, dashboards, and cost breakdowns that make AI agent spend legible — from real-time KPIs to anomaly detection and per-team attribution.
Platform & Operations
Canary Releases for Agent Prompts and Instructions
Canary releases for agent prompts route a small share of traffic to a new prompt version and promote on eval score and task success, not just error rate.
Platform & Operations
Blue-Green Deployment for Agent Policies
Blue-green deployment for agent policies means running old and new guardrail and permission bundles side by side, with an instant cutover and instant rollback.
Platform & Operations
Prometheus Metrics and Observability
Praesidia exposes a standard Prometheus metrics endpoint so you can monitor AI agent task throughput, latency, and spend using the tools your team already runs.
Platform & Operations
Beating Alert Fatigue in Agent Monitoring
Alert fatigue in agent monitoring comes from thresholds built for deterministic services. Tune thresholds to your own measured variance instead.