Enterprise AI Privacy and Security Risk Management: Why the Threat Surface Is Expanding Faster Than the Defenses
Agentic AI, Enterprise AI, Cybersecurity, AI Governance Michael Fauscette Agentic AI, Enterprise AI, Cybersecurity, AI Governance Michael Fauscette

Enterprise AI Privacy and Security Risk Management: Why the Threat Surface Is Expanding Faster Than the Defenses

Enterprise AI adoption has outrun enterprise AI security. Over 55 percent of large enterprises have deployed generative AI in business-critical workflows, but fewer than 30 percent have formalized AI-specific security controls. This article examines five converging threat vectors: prompt injection attacks (up 340 percent year over year and present in 73 percent of audited deployments), data leakage through AI systems connected to internal knowledge bases, shadow AI (now a factor in 43 percent of AI-related security incidents), supply chain attacks through compromised open-source AI libraries (the March 2026 LiteLLM breach exposed 434,000 CI/CD pipelines in 40 minutes), and the new attack surfaces created by agent interoperability protocols like MCP and A2A. It includes a Strategy Playbook for AI threat surface assessment, AI-specific security controls, non-human identity governance, and shadow AI remediation.

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Agentic Identity and Privilege: Why Your AI Needs an Employee ID and a Security Clearance

Agentic Identity and Privilege: Why Your AI Needs an Employee ID and a Security Clearance

In most current AI deployments, "The AI" is a monolithic entity with a single API key. If it hallucinates a reason to access your payroll database, there is no "Internal Affairs" to stop it. We treat AI as a tool with a single identity, a single set of permissions, and a single point of failure. But here is the uncomfortable truth: your AI systems need to operate more like employees than instruments. The gap between how we currently deploy AI and how we should deploy AI is a chasm of organizational risk.

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De-Risking Agentic AI: Cybersecurity and Disinformation in a World of Autonomous Decision-Makers
Agentic AI, Cybersecurity Michael Fauscette Agentic AI, Cybersecurity Michael Fauscette

De-Risking Agentic AI: Cybersecurity and Disinformation in a World of Autonomous Decision-Makers

The way organizations use artificial intelligence is shifting beneath our feet. We're moving from AI as a helpful assistant to AI as an autonomous decision-maker, operating in critical business and societal contexts with minimal human oversight. This transition to agentic AI brings unprecedented capabilities and unprecedented risks.

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