AI Governance & Security
Adam DiStefano
I spent over a decade building enterprise security programs and stood up AI governance across 50+ models and agentic systems. I created the ACR Standard — the runtime control standard for agentic AI. Now I write, speak, and advise on the governance and security challenges most organizations are just starting to face.
Most enterprises have AI governance on paper. Almost none have it enforced at runtime. The gap between policy documentation and production enforcement is where governance actually fails — and it's the problem I've spent my career solving. Control planes, trust paths, containment architectures, and evidence of human authority — not as theory, but as infrastructure I've built and operated.
10+
Years Enterprise
Security Operations
50+
AI Models & Agents
Governed
Chair
Enterprise AI
Governance Committee
3
Books
Published
Executive Impact
Built enterprise AI governance from scratch
Designed and stood up the committee structure, policy architecture, and runtime enforcement pipeline governing 50+ AI models and agentic systems aligned to ISO/IEC 42001 and NIST AI RMF.
Led security programs across Fortune 500 environments
From vulnerability management and incident response to risk architecture and executive reporting — a decade of hands-on security leadership across enterprise and high-growth environments.
Created the ACR Standard for runtime AI governance
Authored the runtime control standard for agentic AI — a mandatory control plane that enforces identity, purpose, policy, risk, and human authority before any protected AI action executes.
Published three books on cybersecurity and AI governance
Codifying operational experience into practitioner frameworks adopted by security leaders and governance teams worldwide.
Why Adam
Built It First
Everything I write and speak about, I've done. Chaired governance committees, built security programs, designed enforcement architectures — in production, at enterprise scale. The advisory perspective comes from operating experience, not observation.
Sees the Full Stack
Bridges security engineering, risk management, and executive accountability. Translates between technical teams and boards without losing fidelity in either direction — because I've sat on both sides of that table.
Category-Defining Work
Created the ACR Standard — the runtime control standard for agentic AI — defining the enforcement layer the industry was missing. Three published books. Speaks on governed production and agentic AI control.
What I Built
The ACR Standard
The runtime control standard for agentic AI
ACR defines the mandatory control plane through which protected AI actions must pass before execution — enforcing identity, purpose, policy, risk, and human authority in real time.
I created ACR to solve the problem most governance frameworks avoid: how do you enforce control over AI systems that act independently, at speed, with real-world permissions? It defines trust paths between agents and infrastructure, containment boundaries that limit blast radius, and human authority checkpoints that prevent autonomous drift. Not a policy document — an enforcement architecture built from direct operating experience.
Areas of Focus
The domains where I've built programs, published frameworks, and continue to lead the conversation.
Runtime AI Governance
Control planes that enforce policy at execution time — not after the fact. Program architecture, risk classification, and compliance strategy aligned to ISO 42001 and NIST AI RMF. Built from the inside out.
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Security & Risk Architecture
Enterprise security programs, trust architectures, and risk frameworks at Fortune 500 scale. Vulnerability management, incident response, and executive reporting — a decade of hands-on leadership.
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Agentic AI Control
Containment architectures, blast radius enforcement, and human authority checkpoints for autonomous systems. This is the problem the ACR Standard was built to solve.
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Executive Accountability
Governance structures that give boards and C-suites verifiable oversight and evidence of control — replacing dashboards and assumptions with enforceable audit trails.
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Enterprise Experience
Organizations where I built and led security and governance programs.
What Peers Say
“He has a rare ability to see around corners, connect technical depth with real-world impact, and bring clarity to complex problems that most people struggle to even frame.”
“An effective bridge between highly technical engineering teams and less technical business and governance stakeholders, translating complexity into clear, actionable direction.”
Michael D. Parker
Principal, Progressive GRC Advisory
“Adam isn't following where the field is going. He's shaping where it needs to go.”
Stephanie Clark
AI Enablement & Governance Operationalization
“He has an innate ability to see the problem, present a solution, and communicate risk to both technical and non-technical audiences alike.”
Chetanprakash Heda
Startup Founder & Digital Transformation Leader
“One of the sharpest Cybersec minds I've ever worked with and I've worked with some of the best. A rare combination of being able to brilliantly execute and effectively train.”
Joe Destin
Business Transformation & Enterprise Management
Latest Writing
April 8, 2026
Why AI-Driven Vulnerability Discovery Breaks Cybersecurity’s Operating Model
Project Glasswing goes beyond faster vulnerability discovery. It eliminates the foundational constraints modern cybersecurity depends on. AI-driven vulnerability discovery collapses the time between exposure and exploitation to near-zero, rendering detection, prioritization, and patch-based models structurally insufficient. The only defensible model is control at runtime, enforced at machine speed.
More Writing
Apr 5, 2026
Runtime Governance Is the Only Governance That Counts
Why the Control Plane Is Non-Negotiable
If agentic AI can act without traversing a hardened enforcement boundary, you have policy theater — not risk management. Runtime governance requires a control plane that enforces policy at the moment an agent intends to act, provides auditable evidence, and constrains delegated authority. The gap between governance intent and governance effect is the largest unpriced risk in enterprise AI today.
Mar 24, 2026
LiteLLM Compromised
What the PyPI Supply Chain Attack Means for Every Organization Running AI
LiteLLM versions 1.82.7 and 1.82.8 on PyPI were compromised with credential-stealing malware as part of a month-long campaign by TeamPCP that included Trivy, KICS, a self-propagating npm worm, and Kubernetes wipers with Iran-targeted destruction. The implications for AI governance are immediate.
Mar 21, 2026
DNS as a Weapon
What the AWS AgentCore Sandbox Bypass Means for AI Governance
BeyondTrust Phantom Labs demonstrated a full sandbox escape from AWS Bedrock AgentCore using DNS-based C2. The implications for AI governance are significant, and most organizations are not accounting for this class of risk.
Mar 19, 2026
From Standard to Enforcement
Inside the ACR Control Plane
The ACR Control Plane is now a working reference implementation—open source, deployable, and designed to prove that runtime AI governance is not theoretical. It is operational.
Mar 15, 2026
AI Governance Is Entering Its Enforcement Era
Why 2026 Is the Year Enterprises Must Move From Policy to Runtime Control
AI governance is entering its enforcement era. Learn why enterprises must move from policy documents to runtime control architectures like the ACR Standard.
Speaking & Media
Available for keynotes, panels, and executive briefings
Topics include runtime AI governance, agentic AI control architectures, enforcement design (including the ACR Standard), enterprise security strategy, and how boards should evaluate AI risk. I speak from direct experience building these programs — not theory.
New Release
The ABCs of Agentic AI
The definitive guide to controlling autonomous AI action at runtime. Covers the ACR Standard, enforcement architecture, agentic threat defense, and evidence-first governance for enterprise environments. Digital edition — PDF + EPUB.
View & purchase — $9.99Governance Toolkit
Free interactive tools built on the ACR Standard. Assess your maturity, classify agent risk, and test your incident response.
Let's Talk
I'm selectively available for advisory engagements, board briefings, and speaking. If your organization is navigating AI governance, runtime control, or enterprise security strategy — reach out.
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Credentials
Education
MS Cybersecurity (Cyber Operations)
BS Computer Science