Security and Governance for AI Agent Operations
Your AI agents interact with APIs, SaaS platforms, and enterprise infrastructure at machine speed. Our workshops help you assess the risks, close governance gaps, and design the runtime controls that production agents require.
AI Agents Are Deploying Faster Than Governance Can Follow
Agents choose tools at runtime, chain actions across systems, and act at machine speed. Traditional IAM was designed for human users. These workshops give your team the architectural guidance to close the gap.
No inventory
Most organizations cannot answer: how many AI agents do we have, and what can they access?
Standing credentials
Agents hold long-lived API keys and service account tokens with broad, unscoped access.
No audit trail
Agent actions are logged, but governance context (intent, authority, policy) is missing.
Five Workshops. Practical Outcomes.
Each workshop is tailored to your environment, team, and current agent maturity. Pricing varies based on scope and complexity.
AI Agent Risk and Governance Clarity
Understand the risk. Make informed decisions.
A strategic briefing for executive teams who need clarity on AI agent risk before making adoption, investment, or governance decisions. No technical prerequisites.
Ideal for: CISOs, CIOs, VPs of Security, VP Engineering, compliance executives, board advisors
Focus Areas
- What AI agents actually do in enterprise environments (plain language)
- Where AI agents introduce risk that traditional security controls do not cover
- The difference between AI model safety and AI agent governance
- How to evaluate your organization’s current AI agent exposure
- What governed agent operations looks like in practice
- Decision framework: build, buy, or wait on agent governance
Deliverables
- Executive risk briefing document tailored to your organization
- AI agent exposure assessment (current state snapshot)
- Governance gap summary mapped to business risk
- Decision framework with recommended next steps
AI Agent Security Threat Modeling
Map the risks before they become incidents.
Identify the specific security risks that emerge when autonomous agents interact with your APIs, SaaS platforms, and internal systems.
Ideal for: Security architects, CISOs, AI platform leads, identity and access management teams
Focus Areas
- Privilege escalation through agent delegation chains
- Credential exposure and token misuse by autonomous agents
- Agent-to-agent manipulation and prompt injection vectors
- API misuse, hallucinated actions, and uncontrolled tool invocation
- Data exfiltration paths through ungoverned tool access
- Uncontrolled delegation and authority propagation
Deliverables
- Comprehensive threat model tailored to your agent architecture
- Risk severity summary with likelihood and impact assessment
- Recommended controls mapped to identified threats
- Prioritized remediation guidance
Agent Governance Readiness Assessment
Understand where you stand. Know what to build next.
Evaluate your agent governance posture against the 12 principles of Agent Runtime Governance. Identify gaps, score maturity, and build a roadmap.
Ideal for: Platform engineering leaders, CISOs, compliance teams, AI program managers
Focus Areas
- Current AI agent inventory, ownership, and lifecycle management
- Runtime governance gaps across authorization, policy, and enforcement
- Authorization model weaknesses and standing privilege risks
- Observability and auditability gaps for regulatory readiness
- Memory and state governance for agent context and credentials
- Operational maturity against the governance maturity model
Deliverables
- Governance gap analysis against the 12 non-negotiable principles
- Maturity model assessment with current-state scoring
- Reference architecture recommendations for your environment
- Prioritized roadmap with quick wins and strategic milestones
Authorization and Runtime Control Architecture
Design the runtime control plane your agents need.
Design the authorization and runtime control infrastructure your agents need: identity models, scoped authority, delegation chains, and policy enforcement.
Ideal for: Identity architects, security engineers, platform teams, AI infrastructure leads
Focus Areas
- Agent identity architecture and verifiable identity models
- Scoped, time-bound authority grants with delegation chain tracking
- Runtime policy enforcement and decision point design
- Intent-based authorization for autonomous agent actions
- Credential governance and purpose-bound capability tokens
- Audit trail architecture for compliance evidence
Deliverables
- Authorization architecture blueprint for your agent environment
- Runtime control model with enforcement points and policy structure
- Implementation guidance with technology recommendations
- Integration patterns for your existing IAM and security infrastructure
AI Agent Identity and Access
Give every agent a verifiable identity and least-privilege access.
Design and stand up identity and access for your AI agents: a unique verifiable identity for every agent, scoped and time-bound access, and governed delegation, all enforced at runtime under Agent Runtime Governance.
Ideal for: Identity architects, IAM teams, security engineers, platform and AI infrastructure leads
Focus Areas
- Unique, verifiable agent identity for every autonomous actor (Principle 1)
- Agent identity lifecycle: provisioning, trust state, rotation, and revocation
- Scoped, time-bound authority and zero standing privilege for agents
- Governed delegation: who an agent can act for, and how far authority propagates
- Verifiable credentials and attestation across trust boundaries
- Integration with your existing IAM, identity provider, and secrets infrastructure
Deliverables
- Agent identity and access architecture mapped to your IAM stack
- A working reference implementation of agent identity and scoped access in your environment
- Delegation and authority model with runtime enforcement points
- Operational rollout plan for provisioning, rotation, and revocation at scale
Built on Deep IAM and AI Governance Experience
Our workshop methodology is informed by hands-on architecture work across complex enterprise environments and by the development of the Agent Runtime Governance framework.
Our 12 Non-Negotiable Principles are the foundation of every engagement.
A Structured Engagement Process
Every workshop follows a proven process designed for enterprise teams. No surprises. No wasted time.
Pre-Workshop Discovery
We review your environment, agent architecture, and current controls. You complete a brief intake questionnaire so we arrive prepared.
Live Working Sessions
Collaborative, hands-on sessions with your technical and security teams. Real architecture, real threat models, real decisions.
Architecture Review
We synthesize findings into actionable artifacts: architecture blueprints, gap analyses, threat models, and prioritized roadmaps.
Final Delivery and Recommendations
A structured readout with your leadership team. Clear findings, concrete recommendations, and a path forward you can act on immediately.
Common Questions
Your Agents Are Already Running. Governance Starts Here.
Schedule a 30-minute conversation to discuss your environment, your challenges, and which workshop is the right fit. No commitment required.
We typically respond within one business day.