Engineering the governance layer for AI agents.
Deep dives, comparisons, and field notes on building production-grade agent control planes.
Introducing Cordum.
Why we built the control plane for governed AI agent workflows.
Control plane fundamentals.
Focused posts aligned to the keywords operators use when they evaluate workflow governance.
AI Agent Compliance: EU AI Act, NIST, and Global Regulations (2026 Guide)
August 2, 2026 is the EU AI Act high-risk deadline. Maps Articles 9, 12, 13, and 14 to specific technical controls for autonomous AI agents. Covers EU, US, Singapore, China, and ISO 42001.
Claude Code Leak Analysis (2026): What 500K+ Lines Reveal About Agent Permissions
Deep analysis of the Claude Code source leak. What the exposed harness reveals about permissions, context governance, and the controls every AI agent team should implement now.
MCP Security Risks (2026): 7 Exploitable Failure Modes and How to Detect Them
A production guide to MCP security risks with attacker preconditions, blast radius scoring, detection queries, and containment runbooks.
AI Agent Production Deployment Checklist (2026): 20 Controls with Pass/Fail Gates
A production AI agent checklist with 20 controls and pass/fail launch gates, including policy checks, canary thresholds, and rollback drills.
Agent FinOps: How to Stop AI Agents from Burning $10K in Tokens
When AI agents autonomously chain API calls, costs compound faster than dashboards can show. Policy-level budget enforcement evaluates cost before execution.
Why 40% of AI Agent Projects Will Fail (and How Governance Prevents It)
Gartner predicts 40% of agentic AI projects will be canceled by 2027. The root cause is not bad models. It is deploying without governance.
MCP vs A2A vs CAP (2026): Protocol Boundaries, Governance Gaps, and a Production Blueprint
A technical comparison of MCP, A2A, and CAP with policy gates, approval flow, and deployment tradeoffs for production autonomous AI agents.
Temporal vs Cordum (2026): AI Agent Governance Comparison
A practical comparison of Temporal and Cordum for AI agents, with concrete retry semantics, rollback behavior, and governance architecture patterns.
CAP Protocol Capabilities (2026): BusPacket, Safety Decisions, Heartbeats, and Deterministic Rollback
A technical guide to CAP protocol capabilities: typed envelopes, pre-dispatch policy decisions, approval binding, checkpoint heartbeats, and compensation-safe rollback.
MCP Governance (2026): Policy Gates for MCP Servers
A production architecture guide for MCP governance with pre-dispatch policy evaluation, approval gates, output safety, and operational SLOs.
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Agentic AI Governance: What It Means and How to Implement It (2026)
Agentic AI governance is the control layer for autonomous agents that act, decide, and delegate independently. Learn the architecture, decision model, and implementation patterns.
Multi-Agent System Governance: How to Govern Agent Fleets in Production (2026)
When agents delegate to other agents, governance becomes a fleet problem. Learn how to enforce policies, approvals, and audit trails across multi-agent systems with shared and per-agent rules.
What Is Human-in-the-Loop AI? A Clear Guide for Engineering Teams (2026)
Human-in-the-loop AI means a system cannot proceed without explicit human action at defined checkpoints. Learn how HITL works, where it matters, and how to implement it beyond prompt instructions.
What Is an AI Agent Control Plane? Definition and Architecture (2026)
An AI agent control plane is the governance layer that manages policy decisions, approvals, and audit trails across autonomous agent fleets. Learn the architecture and why frameworks alone are not enough.
LangChain vs LlamaIndex vs Semantic Kernel: Production Comparison (2026)
LangChain leads on ecosystem, LlamaIndex on RAG, Semantic Kernel on enterprise SDK structure. But all three break without governance. Honest comparison with failure modes and decision criteria.
LangChain vs LlamaIndex vs Semantic Kernel: Production Comparison (2026)
LangChain leads on ecosystem, LlamaIndex on RAG, Semantic Kernel on enterprise SDK structure. But all three break without governance. Honest comparison with failure modes and decision criteria.
AI Agent Security Risks Enterprise Teams Miss: Why 74% See an Attack Vector (2026)
A data-driven enterprise guide to AI agent security risks with top-source gap analysis, runtime control matrix, policy code, and rollout tradeoffs.
OpenClaw Security Comparison: CordClaw vs NemoClaw vs Built-In Sandboxing (2026)
A technical comparison of OpenClaw security options with implementation examples, failure tradeoffs, and deployment recommendations.
How to Secure OpenClaw Agents in Production: Complete Governance Guide (2026)
A complete guide to secure OpenClaw agents in production with deterministic pre-dispatch governance, approval gates, fail-mode controls, and audit evidence.
Pre-Dispatch Governance for AI Agents vs Post-Hoc Safety (2026)
A technical comparison of pre-dispatch governance for AI agents and post-hoc safety with real control-plane timing, fail modes, and validation checks.
AI Agent Governance Platform Setup: Zero to Governed with CordClaw (2026)
Step-by-step AI agent governance platform setup for OpenClaw using CordClaw: install, validate decisions, tune policy profiles, and harden rollout.
AI Agent Orchestration Patterns: Cordum Architecture Deep Dive (2026)
A production guide to AI agent orchestration with code-accurate control-plane architecture, reliability guardrails, and rollout runbooks.
Building Custom Safety Policies for AI Agents (2026)
A production playbook for deterministic AI policy enforcement: rule design, signature verification, simulation, and safe rollout for autonomous agents.
Prompt Injection vs Out-of-Process Governance for AI Agents (2026)
A production guide to prompt-injection mitigation for AI agents using out-of-process governance, fail-mode controls, and deterministic action boundaries.
AI Agent Preferred Worker Routing: Hint, Not Mandate (2026)
A production guide to `preferred_worker_id` and `preferred_pool` routing behavior in AI agent schedulers, based on Cordum's least-loaded strategy logic and test coverage.
AI Agent Stale Worker Dispatch Retries: Why 3 Immediate Re-picks Can Still Fail (2026)
A production guide to stale worker handling in AI agent schedulers, using Cordum's `maxDispatchRetries=3`, worker TTL behavior, and retry classification path.
AI Agent State-Read Fail-Closed: Prevent Duplicate Dispatch on Redis Errors (2026)
A production guide to fail-closed scheduler behavior when job-state reads fail, using Cordum's `GetState` guard, retry path, and duplicate-dispatch prevention tests.
AI Agent Dispatch Rollback Consistency (2026)
Prevent duplicate dispatch under at-least-once redelivery using state-before-publish ordering, rollback paths, and lifecycle regression tests.
AI Agent `no_pool_mapping` Retry Policy: Fail Fast or Back Off? (2026)
A production guide to `no_pool_mapping` handling in AI agent control planes, using Cordum scheduler code paths: retry classification, backoff math, and DLQ terminal semantics.
AI Agent Error Code Enum Migration Guide (2026)
Migrate legacy string errors to structured enums in AI agent control planes with safer scheduler mapping, test coverage, and failure telemetry.
AI Agent DLQ Emission Reliability: One Retry Is Not a Delivery Guarantee (2026)
A production guide to DLQ emission reliability in AI agent control planes, with Cordum's sink-first write path, single 500ms retry policy, and failure telemetry design.
AI Agent Retry Intent Propagation (2026): From `RetryAfter` to JetStream `NakWithDelay`
A production guide to preserving retry intent across scheduler, bus, and JetStream boundaries with contract-safe error types, delay mapping, and validation checks.
AI Agent Run Lock Busy Retries (2026): Why Fixed 500ms Delays Create Contention Waves
A production guide to lock-busy retry strategy in AI agent control planes, with Cordum's fixed 500ms path, queue-level effects, and bounded jitter rollout checks.
AI Agent Lock Release Failure: Retry Strategy vs TTL Expiry in Control Planes (2026)
A production guide to distributed lock release-failure handling for AI agent control planes, comparing retry-on-release and TTL-only recovery paths in Cordum.
AI Agent Lock Renewal Failure Policy: Scheduler Fences After 3 Failures, Workflow Does Not (2026)
A production guide to lock renewal failure policy in AI agent control planes, comparing Cordum scheduler fencing logic with workflow warn-only behavior.
AI Agent Distributed Lock Fallback: Fail Open vs Fail Closed Under Lock Service Outages (2026)
A production guide to distributed lock fallback policy for AI agent control planes, with Cordum's local-only fallback behavior, risk envelope, and runbook checks.
AI Agent Lock Token Ownership Guide (2026)
Prevent `lock not owned` incidents in distributed AI agent control planes with compare-and-release scripts, renew semantics, and ownership runbooks.
AI Agent Approval Idempotency: already_approved (2026)
Design retry-safe approval APIs for AI agents with `already_approved` and `already_rejected` semantics, dedup keys, and deterministic runbook checks.
AI Agent Approval Snapshot Drift Prevention (2026)
Prevent stale approvals by validating policy snapshots and job hashes at approval time, with clear failure modes and rollout-safe runbook checks.
AI Agent Approval Lock Contention: 409 Conflict vs 423 Locked (2026)
A production guide to approval lock contention handling in AI agent control planes, with Cordum lock constants, HTTP status tradeoffs, and retry-safe runbook checks.
AI Agent Idempotency Payload Mismatch: Prevent Cross-Intent Replay Bugs (2026)
A production guide to idempotency payload mismatch handling in AI agent control planes, with Cordum run-start behavior, test gaps, and safer validation patterns.
AI Agent Workflow Admission 429 vs 503: Retries That Respect Concurrency Gates (2026)
A production guide to 429 vs 503 handling for AI agent workflow admission, with Cordum status paths, retry policy tradeoffs, and practical runbook checks.
AI Agent Workflow Admission Lock: Why Fixed 10ms Retries Need Jitter Under Contention (2026)
A production guide to workflow admission lock behavior in AI agent control planes, with Cordum lock constants, contention tests, and jitter tradeoffs.
AI Agent Workflow Idempotency Reservation (2026)
Prevent poisoned idempotency keys under concurrency rejection with cleanup paths, Redis TTL guardrails, and retry-safe workflow runbooks.
AI Agent Worker Pool Draining: Timeout-Backed Transition to Inactive (2026)
A production guide to worker pool draining in AI agent control planes, with Cordum API behavior, 10 second drain checks, and timeout-driven inactive transitions.
AI Agent gRPC GracefulStop Timeout: Prevent Hanging Shutdowns in Control Planes (2026)
A production guide to gRPC GracefulStop timeout handling for AI agent control planes, with Cordum shutdown ordering, forced-stop fallback, and test patterns.
AI Agent NATS Msg-Id Strategy: 2-Minute JetStream Dedup vs 90-Day Idempotency (2026)
A production guide to NATS Msg-Id design for AI agent control planes, with Cordum code paths for dedup windows, approval retries, and long-horizon idempotency.
AI Agent NATS JetStream Poison Message Termination: DLQ-First Ordering That Avoids Crash Windows (2026)
A production guide to JetStream poison-message handling in AI agent control planes, with Cordum's DLQ-before-Term ordering and crash-window analysis.
AI Agent NATS Subject Durability Map: Which Events Must Survive Restarts (2026)
A production guide to Core NATS vs JetStream durability boundaries in AI agent control planes, with Cordum's actual subject map and operator tradeoffs.
AI Agent NATS Slow Consumer Guardrails (2026)
Set pending limits and callbacks for NATS slow consumers in AI agent control planes, including core-vs-JetStream behavior and alert instrumentation.
AI Agent NATS Drain vs Close: Prevent Shutdown Message Loss in Control Planes (2026)
A production guide to NATS Drain vs Close behavior for AI agent control planes, with Cordum shutdown code paths, publish-path risk boundaries, and safer teardown patterns.
AI Agent NATS Client Certificate Rotation: Why Server Reload Is Not Enough (2026)
A production guide to NATS client certificate rotation for AI agent control planes, with Cordum runtime details, reconnect timing math, and rollout-safe patterns.
AI Agent NATS Reconnect Observability: Turn Callback Logs into SLO Signals (2026)
A production guide to NATS reconnect observability in AI agent control planes, with Cordum callback hooks, metric patterns, and alerting runbooks.
AI Agent NATS Publish Confirmation: Core Publish vs JetStream Ack in Control Planes (2026)
A production guide to publish confirmation boundaries in NATS, with Cordum's subject routing policy and practical Core-vs-JetStream tradeoffs.
AI Agent NATS Reconnect Buffer Sizing: Avoid Silent Drops During Broker Outages (2026)
A production guide to NATS reconnect buffer sizing for AI agent control planes, with Cordum publish-path boundaries and outage-focused tuning checks.
AI Agent NATS Reconnect Jitter: Stop Thundering Herd Storms in Control Planes (2026)
A production guide to NATS reconnect jitter in AI agent control planes, with Cordum default behavior, failure-shape analysis, and staged rollout tuning.
AI Agent NATS Cold-Start Reconnect: Why Infinite Reconnect Still Exits on First Boot (2026)
A production guide to NATS cold-start behavior in AI agent control planes, with Cordum startup code paths, failure modes, and rollout-safe mitigation options.
AI Agent NATS Auth Precedence: User/Pass vs Token vs NKey in Production (2026)
A production guide to NATS auth precedence for AI agent control planes, with Cordum's exact user/pass > token > nkey resolution logic and rollout checks.
AI Agent NATS TLS Enforcement: Block Plaintext Broker Drift in Production (2026)
A production guide to NATS TLS enforcement for AI agent control planes, with Cordum production guards, override traps, and auth layering tradeoffs.
AI Agent JetStream Broadcast Semantics: Durable Names That Prevent Replica Message Loss (2026)
A production guide to JetStream broadcast vs queue semantics with Cordum's durable-name strategy, fanout guarantees, and failure tradeoffs.
AI Agent MaxAckPending Tuning: Prevent JetStream Consumer Starvation (2026)
A production guide to tuning NATS JetStream MaxAckPending for AI agent schedulers, with concrete Cordum defaults, hard limits, and failure tradeoffs.
AI Agent AckWait and Dedup TTL Alignment: Stop Post-Crash Double Processing (2026)
A production guide to aligning JetStream AckWait with Redis dedup TTL to reduce post-crash duplicate processing in AI agent control planes.
AI Agent Worker Heartbeat Warm-Start: Eliminate 30s No-Worker Windows (2026)
A production guide to AI agent worker heartbeat warm-start with Redis snapshots, lock-safe writers, and concrete Cordum TTL tradeoffs.
AI Agent Config Reload Convergence Guide (2026)
Implement safe config reload convergence with NATS broadcasts, polling fallback, hash-based apply gating, and scheduler-safe rollout patterns.
AI Agent Stuck Job Recovery: Pending Replayer and Timeout Reconciler Tuning (2026)
A production guide to recovering stuck AI agent jobs with pending replay, timeout reconciler tuning, and concrete Cordum lock and timeout behavior.
AI Agent Safety Unavailable Retry Strategy: Fixed 5s vs Jittered Backoff (2026)
A production guide to retry strategy when safety checks are unavailable, with concrete Cordum scheduler behavior, jitter tradeoffs, and operator guardrails.
AI Agent Safety Circuit Breaker Tuning: Shared Redis Thresholds and Fail-Mode Tradeoffs (2026)
A production guide to tuning Safety Kernel circuit breakers with concrete Cordum constants, Redis-shared state behavior, and fail-open risk boundaries.
AI Agent Safety Kernel Certificate Rotation: Zero-Downtime TLS Reload Playbook (2026)
A production guide to Safety Kernel TLS certificate rotation with concrete Cordum reload behavior, reconnect boundaries, and rollback checks.
AI Agent Safety Kernel TLS Hardening: Prevent Plaintext gRPC Downgrade (2026)
A production guide to Safety Kernel gRPC TLS hardening with concrete Cordum server and client behavior, downgrade traps, and rollout checks.
AI Agent Policy URL Security: SSRF Defenses for Remote Safety Policy Fetch (2026)
A production guide to hardening remote policy URL loading against SSRF with host allowlists, redirect controls, DNS checks, and concrete Cordum Safety Kernel behavior.
AI Agent Policy Signature Verification: Ed25519 Key Rotation Playbook (2026)
A production guide to signing and verifying AI safety policies with Ed25519, including key rotation, verification paths, and concrete Cordum runtime controls.
AI Agent Policy Decision Cache Invalidation: Snapshot Keys and Version Guards (2026)
A production guide to policy decision cache invalidation for autonomous AI agents with snapshot-prefixed keys, policyVersion guards, and safe approval_ref handling.
AI Agent Safety Kernel Outage Playbook: Backlog Recovery Without Fail-Open (2026)
A production playbook for Safety Kernel outages in autonomous AI control planes with backlog drain math, fail-mode choices, and concrete Cordum recovery commands.
AI Agent Fail-Open Alerting: Detect Safety Bypass in 5 Minutes (2026)
A production guide to fail-open alerting for autonomous AI agents with multi-window burn-rate rules, PromQL examples, and Cordum metric mapping.
AI Agent Safety Check Timeout Tuning: Fail-Open Without Losing Control (2026)
A production guide to tuning AI agent safety-check timeouts with deadline math, fail-open boundaries, and concrete Cordum scheduler behavior.
AI Agent gRPC Deadline Budgeting: Prevent Cascading Timeouts in Control Planes (2026)
A production guide to gRPC deadline budgeting for autonomous AI control planes with hop-by-hop timeout math, retry boundaries, and concrete Go patterns.
AI Agent gRPC CANCELLED and UNAVAILABLE: Retry Logic for Rolling Restarts (2026)
A production guide to handling gRPC CANCELLED and UNAVAILABLE in autonomous AI control planes with retry rules, idempotency boundaries, and restart-safe workflows.
AI Agent Health Checks: Liveness vs Readiness vs Startup Probes for Control Planes (2026)
A production guide to Kubernetes health checks for autonomous AI control planes with probe role design, rollout safety checks, and concrete YAML examples.
AI Agent Lock TTL Tuning: Prevent Duplicate Dispatch and Slow Takeover (2026)
A production guide to lock TTL tuning for autonomous AI systems with renewal cadence math, takeover bounds, and Redis-safe release patterns.
AI Agent PodDisruptionBudget Strategy: Availability Math for Control Planes (2026)
A production guide to PodDisruptionBudget design for autonomous AI control planes with quorum math, rollout guardrails, and lock-safe recovery checks.
AI Agent Rolling Restart Playbook: Zero-Drop Deployments with PDBs and Lock TTL Safety (2026)
A production guide to rolling restarts for autonomous AI systems with rollout budget math, disruption controls, and lock-safe takeover checks.
AI Agent Graceful Shutdown: Drain Order, Lock Safety, and 15s Timeout Design (2026)
A production guide to graceful shutdown for autonomous AI systems with drain sequencing, lock safety checks, and concrete timeout budgets.
AI Agent Cold Start Recovery: Warm-Start State, Startup Budgets, and Failover Windows (2026)
A production guide to AI agent cold-start recovery with warm-start snapshots, startup budget math, and concrete diagnostics.
AI Agent Config Drift Detection: Stop Replica Mismatch Before Incidents (2026)
A production guide to config drift detection for autonomous AI agents with hash-based reloads, notification fallback, and operator runbooks.
AI Agent Leader Election: Lease Tuning, Failover Math, and Split-Brain Prevention (2026)
A production guide to AI agent leader election with lease timing formulas, single-writer patterns, and concrete Redis diagnostics.
AI Agent Distributed Locking: TTL Leases, Fencing Tokens, and Recovery Runbook (2026)
A production guide to distributed locking for autonomous AI agents with lock TTL math, fencing-token patterns, and concrete Redis diagnostics.
AI Agent Queue Partitioning Strategy: Scale Throughput Without Breaking Ordering (2026)
How to design queue partitioning for autonomous AI agents with deterministic keys, fairness controls, and replay-safe recovery.
AI Agent Multi-Tenant Isolation: Prevent Noisy Neighbors and Cross-Tenant Risk (2026)
A practical guide to multi-tenant isolation for autonomous AI agents with isolation models, fairness limits, and policy enforcement patterns.
AI Agent Capacity Planning Model: How to Size Worker Pools Without Guessing (2026)
A practical AI agent capacity planning model with worker-sizing formulas, utilization targets, and policy-aware headroom checks.
AI Agent Chaos Engineering Playbook: Safe Failure Injection in Production-Like Systems (2026)
A practical chaos engineering playbook for autonomous AI agents with hypothesis design, abort guards, and policy-aware validation.
AI Agent Blameless Postmortem Template: What to Capture After Incidents (2026)
A practical blameless postmortem template for autonomous AI systems with policy-path evidence, replay checks, and corrective action tracking.
AI Agent Incident Response Runbook: Severity, Triage, and Recovery Steps (2026)
A practical AI agent incident response runbook with severity triggers, first-15-minute checks, and concrete recovery commands.
AI Agent SLA vs SLO vs SLI: Contract-Ready Reliability Model (2026)
A practical guide to AI agent SLA vs SLO vs SLI with concrete formulas, downtime math, and policy-aware metric boundaries.
AI Agent SLOs and Error Budgets: Production Policy Playbook (2026)
How to design AI agent SLOs and error budgets with burn-rate alerts, policy-aware failure accounting, and concrete Prometheus rules.
How to Deploy a Deepgram Voice Agent to Production: Step-by-Step Guide (2026)
A practical deployment checklist for Deepgram voice agents in production, including governance gates, hosting options, and compliance evidence.
AI Agent Priority Queues and Fair Scheduling: Production Guide (2026)
How to design priority queues and fairness controls for autonomous AI agents without starving critical or low-priority workloads.
AI Agent Canary Deployment and Shadow Traffic: Production Rollout Playbook (2026)
How to roll out autonomous AI agents safely with canary stages, shadow traffic, policy simulation, and measurable promotion gates.
AI Agent Backpressure and Queue Drain Strategy: Prevent Overload Meltdowns (2026)
How to prevent AI agent overload using backpressure, bounded retries, and queue drain controls with concrete production thresholds.
AI Agent Fail-Open vs Fail-Closed: Production Decision Matrix (2026)
How to choose fail-open vs fail-closed defaults for autonomous AI agents using risk tiers, policy controls, and measurable operational signals.
AI Agent Poison Message Handling: Quarantine, Triage, and Safe Replay (2026)
How to handle poison messages in autonomous AI systems with deterministic triage, dead-letter governance, and replay-safe execution.
AI Agent Exactly-Once Is Mostly a Myth: Build Idempotent Pipelines (2026)
Why autonomous AI systems should assume at-least-once delivery and implement idempotent processing instead of relying on exactly-once claims.
AI Agent Transactional Outbox Pattern: Avoid Dual-Write Failures (2026)
How to use the transactional outbox pattern for autonomous AI agent systems to avoid inconsistent state between database writes and event dispatch.
AI Agent Rate Limiting and Overload Control: Production Guide (2026)
How to throttle autonomous AI agents with token buckets, per-topic budgets, and policy-based overload controls.
AI Agent Policy Simulation: Test Governance Before Dispatch (2026)
How to run policy simulation for autonomous AI agents in CI, validate draft bundles, and prevent unsafe policy pushes.
AI Agent Idempotency Keys: Stop Duplicate Actions in Production (2026)
How to design idempotency keys for autonomous AI agents with replay-safe retries, parameter checks, and auditable execution lineage.
AI Agent Timeouts, Retries, and Backoff: Production Guide (2026)
How to set timeout budgets, retry limits, and jittered backoff for autonomous AI agents without creating retry storms.
AI Agent DLQ and Replay Patterns: Production Failure Recovery (2026)
How to design dead-letter queue triage and replay for autonomous AI agents with policy checks, idempotency, and audit-ready evidence.
AI Agent Circuit Breaker Pattern: Stop Cascading Tool Failures (2026)
How to implement circuit breaker controls for AI agents with policy fail modes, retry boundaries, and production-grade observability.
AI Agent Rollback and Compensation: Production Saga Patterns (2026)
How to design rollback and compensation for autonomous AI agents with policy gates, idempotency, and audit-ready execution evidence.
Multi-Agent Governance: Why You Need Centralized Control (2026)
How to govern multi-agent systems with centralized policy enforcement, approval gates, and traceable cross-agent execution.
What Is Pre-Dispatch Governance for AI Agents? Architecture, Code, and Tradeoffs (2026)
A deep technical guide to pre-dispatch governance for AI agents: decision contracts, CordClaw implementation, and tradeoffs vs sandboxing and post-hoc controls.
Infrastructure Automation AI Agent Guardrails: Dual-Gate Production Playbook (2026)
A production playbook for submit-time and dispatch-time policy gates, approval workflows, and retry-safe infrastructure automation.
Approval Workflows for Autonomous AI Agents: Snapshot-Safe Playbook (2026)
A production guide to approval workflows with policy snapshot checks, job-hash integrity, idempotent approvals, and replay-safe execution.
AI Agent Compliance Mapping: SOC 2, ISO 27001, NIST AI RMF Runtime Playbook (2026)
Map autonomous AI agent controls to SOC 2, ISO 27001, and NIST AI RMF using runtime evidence contracts and approval integrity checks.
CrewAI vs AutoGen (2026): Which Multi-Agent Framework Should You Ship?
A production-first CrewAI vs AutoGen comparison with migration risk, failure-mode testing, and governance patterns.
Temporal vs LangGraph (2026): Durable Agent Architecture
Temporal vs LangGraph for production AI agents: durability semantics, failure thresholds, and two-layer architecture patterns with working code.
Temporal vs LangChain (2026): Durable Agent Architecture
Temporal vs LangChain is a layering decision: LangChain for agent logic, Temporal for durable execution, with practical thresholds and tradeoffs.
AI Agent Observability: Monitoring, Debugging, and Auditing Autonomous Agents (2026)
Traditional APM does not work for autonomous agents. Learn the three pillars of AI agent observability: decision tracing, behavioral drift detection, and governance audit trails.
AI Agent Sprawl: Why Ungoverned Agent Fleets Are Your Next Security Crisis (2026)
40% of enterprise apps will embed AI agents by 2026. Most teams have no inventory, no shared policies, and no audit trail across agents. Here is how to get control before sprawl becomes a breach.
Automated AI Incident Triage & Remediation Guide (2026)
Build automated incident triage and remediation with AI agents using risk tiers, approval gates, rollback rules, and runbook-ready workflows.
LangGraph vs Temporal vs Cordum (2026): Agent Logic, Durable Execution, and Governance
A production-level comparison of LangGraph, Temporal, and Cordum with architecture patterns, implementation tradeoffs, and working code.
MCP in Production (2026): 12 Best Practices with Policy Gates, OAuth, and Safety Controls
A practical production guide for MCP deployments with OAuth-based auth, policy enforcement, output safety, monitoring thresholds, and rollout gates.
AI Agent Audit Trails: Compliance Guide for Production Teams
A practical guide to designing immutable AI agent audit trails for compliance, incident response, and governance reviews.
How to Add Governance to OpenClaw in Production
A step-by-step tutorial for adding policy checks, approvals, and audit trails to OpenClaw workflows using an agent control plane.
Introducing Cordum: The Control Plane for AI Agent Governance
Learn how Cordum adds policy enforcement, approval gates, and SIEM-ready audit trails to AI agent workflows.
5 Decision Types Every AI Agent Needs in Production
The five policy decisions that keep autonomous AI agents safe: allow, deny, require approval, constrain, and remediate.
AI Agent Incident Report: What Happens When Agents Go Wrong
Agents are already failing in production. Three real incident patterns, their root causes, and the governance policies that would have prevented each one.
What Kubernetes Taught Us About Governing Autonomous Systems
The agent governance problem looks like container orchestration in 2015. K8s patterns map directly to what agent fleets need.
Multi-Agent Orchestration Needs a Control Plane, Not Another Framework
Every framework is adding multi-agent support. None solve governance across agents. When delegated agents take risky actions, you need a control plane.
The Agent Governance Maturity Model: Where Does Your Org Stand?
Most companies are at Level 0. Companies shipping agents to production are at Level 3+. A 5-level framework to assess and improve your governance posture.
Why Coding Agents Need a Control Plane
Claude Code, Cursor, and Devin have access to your repos, CI/CD, and secrets. Most teams hope the model behaves. Here is how to add policy enforcement and approval gates.
Cordum v0.1.0 Release Notes: AI Agent Governance Control Plane
Technical release notes for Cordum v0.1.0: policy-first AI agent control plane with approvals, constraints, and audit-ready evidence.
How to Deploy AI Agents in Production (2026): Architecture, Rollout, and Governance Checklist
How to deploy AI agents in production with fewer incidents: architecture choices, phased rollout, policy gates, monitoring baselines, and rollback drills.
Model Context Protocol (MCP) Guide (2026): Architecture, Wire Flow, and Migration Plan
A practical MCP guide for production teams: architecture, JSON-RPC message flow, MCP vs function calling, and migration steps with tradeoffs.
AI Agent Frameworks Compared: What Breaks When You Ship LangChain, CrewAI, AutoGen, LlamaIndex (2026)
Production comparison of LangChain, CrewAI, AutoGen, LlamaIndex, Semantic Kernel, and Temporal with a decision matrix for tool use, governance, multi-agent workflows, and durable execution.
Human-in-the-Loop AI: 5 Patterns That Actually Work in Production
Five production human-in-the-loop patterns for AI agents: approval gates, exception escalation, graduated autonomy, sampled audit, and output review.
AI Agent Security Best Practices: 12 Production Controls (2026 Guide)
12 AI agent security controls that actually work in production. Covers pre-dispatch policy gates, least-privilege scoping, output quarantine, credential rotation, and validation runbooks with code.
AI Governance in Production (2026): Policy-First Control Plane for Autonomous AI Agents
A technical guide to AI governance in production: pre-dispatch policy checks, approval binding, action constraints, output controls, and audit evidence.
Policy as Code for AI Agents (2026): Rule Design, Simulation Gates, and Safe Rollouts
A production guide to policy as code for AI agents: deterministic decisions, constraints, simulation workflows, rollback strategy, and audit-ready evidence.
How to Add Approval Gates to AI Agents: A Step-by-Step Production Guide
Practical guide to AI agent approval workflows with pre-dispatch policy checks, risk-tier routing, Slack and email approvals, idempotency, and audit-ready evidence.
LLM Safety Kernel for AI Agents (2026): Deterministic Policy Decisions and Runtime Guardrails
A production guide to building an LLM safety kernel for AI agents: deterministic policy outcomes, approval binding, constraints, and output safety controls.
AI Agent Audit Trail (2026): Decision-Level Evidence for Autonomous Workflows
A production guide to AI agent audit trails: decision records, approval lineage, policy snapshots, and run timelines you can defend in real audits.
AI Workflow Orchestration (2026): Governance + Reliability
A production guide to orchestrating autonomous AI workflows with explicit DAGs, retry contracts, approval gates, and auditable run timelines.
Ready to govern your AI agents?
Cordum enforces policy before dispatch, requires approvals where risk demands it, and records a complete audit trail.