Building Secure Multi-Agent Workflows
Secure multi-agent workflows with authentication at every hop, scoped delegation tokens, and content guardrails on every message—three patterns explained.
AI agent security, identity, governance, cost, and the engineering behind the control plane.
Secure multi-agent workflows with authentication at every hop, scoped delegation tokens, and content guardrails on every message—three patterns explained.
Grant AI agents the minimum MCP tool access they need — no more. Learn how allow-lists, per-tool rate limits, and policy gates prevent blast-radius breaches.
Shadow AI grows faster than shadow IT. The three risk categories it creates and how a governance framework closes the visibility gap before incidents occur.
A practical MCP server security checklist covering authentication, tool-level authorization, rate limits, forensic logging, and monitoring for agents.
MCP gives AI agents a standard way to call external tools and retrieve context. Learn what it is, how it works, and the security controls it needs.
Every platform action is an API call. Learn how Praesidia's OpenAPI-described surface lets you automate governance, integrate tooling, and extend the platform.
The platform admin console gives super-admins cross-tenant visibility, DLQ triage, two-person governance controls, and GDPR erasure on a separate access plane.
A persistent, authenticated WebSocket stream replaces polling for agent tasks, workflow runs, and budget alerts — and what safe multi-tenant fan-out requires.
How to design liveness and readiness probes for AI services — what to check, how to avoid false positives, and what a production health surface looks like.
Stream AI agent events to your own systems and forward security signals to a SIEM — so agent activity is visible in the tooling your team already uses.
Issue, scope, and rotate organization API keys to give each integration only the access it needs — and limit blast radius when a credential is exposed.
Turn scattered user requests into ranked roadmap signal with a built-in feedback board that supports voting, moderation, and multi-tenant visibility.
Route AI agent budget alerts, guardrail violations, and task failures to Slack and other channels with a reliable, tenant-isolated dispatcher pattern.
Build a compliant email opt-out system with enforced suppression lists, per-category preferences, and bounce handling that protects your sender reputation.
Reliable transactional email for AI platforms: how consistent templates, authenticated sending, and delivery safeguards keep security and billing flows intact.
Browser push notifications deliver agent failures and budget alerts to operators the moment they happen — no open tab or email check required.
How a purpose-built in-app notification system keeps AI platform operators informed of critical agent events and alerts without noise or alert fatigue.
How to capture, aggregate, and act on authentication events in your AI platform so credential attacks surface in minutes, not days.
Charts, dashboards, and cost breakdowns that make AI agent spend legible — from real-time KPIs to anomaly detection and per-team attribution.
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.
Search across agents, tasks, connections, workflows, and audit logs from a single entry point — find any resource in your AI estate instantly.
Saved views let AI operations teams restore any dashboard state in one click — cutting investigation setup time and reducing filter errors under pressure.
Set measurable SLOs for task success rate, latency, and agent availability — then alert before users notice. A practical guide for AI agent deployments.
Turn AI activity into board-ready governance reports covering usage, cost, and risk — with scheduled delivery and export for compliance teams.