MCP Server Security: The Protocol Connecting AI Agents to Your Infrastructure
The Model Context Protocol connects AI agents to external tools. Real 2026 CVEs show the attack surface is already being exploited.
Threat intelligence, security assessments, and risk quantification for enterprise and private equity clients.
The Model Context Protocol connects AI agents to external tools. Real 2026 CVEs show the attack surface is already being exploited.
AI coding tools are adopted team by team, below committee line of sight. Three questions separate oversight from assurance.
Boards approved AI principles. The next 18 months are about proving those principles operate as controls. The gap is where regulatory risk sits.
RoguePilot, CamoLeak, and Comment-and-Control attacks prove AI coding tools are a live attack surface. A practical control set for development teams.
Most boards hear the AI productivity pitch but not the identity, permission, and accountability model underneath. Three questions surface the gap.
AI agents, data governance, and regulatory enforcement are converging into a single challenge. Treating them separately creates blind spots.
Machine identities will outnumber human identities in most enterprises this year. 78% have no formal policies for AI identity lifecycle management.
AI-assisted attack tools find vulnerabilities faster than organizations can patch. Framework compliance alone no longer defines adequate security.
Project Glasswing resets the baseline for cybersecurity assessment. When AI finds 27-year-old flaws, traditional assessment methodologies need to catch up.
Anthropic shipped Claude Code's complete source in a routine npm update. With 41,500 forks and exposed feature flags, AI vendor risk needs rethinking.
A 1998-era SQL injection reportedly exposed McKinsey's AI platform Lilli. The vulnerability class is old. The consequences for enterprise AI are not.
AI-powered attacks and deepfake fraud are the defining threats of 2026. A plain-language briefing for boards and CFOs, with the 12 controls that change the risk profile.
Document-only reviews miss up to 75% of material cyber risks. Technical validation gives underwriters 35-45% better loss ratios.