Image: CSO Online

UpTrajectory Review

The article discusses the emerging risks associated with Model Context Protocol (MCP) in the realm of AI tooling and security. It highlights how MCP has become a significant blind spot for security teams, akin to the challenges posed by shadow IT. The piece emphasizes the importance of integrating MCP risks into a Continuous Threat Exposure Management (CTEM) program to proactively identify vulnerabilities before they can be exploited by attackers.

For small business owners, this is a crucial reminder that as technology evolves, so do the risks associated with it. The integration of MCP into existing security frameworks is not just a technical upgrade; it's a necessary evolution to maintain a robust defense against increasingly sophisticated threats. Operators should be particularly vigilant about the tools their teams are using and ensure that they have visibility into potential MCP vulnerabilities. Ignoring these risks could leave businesses exposed to new forms of cyberattacks that traditional security measures may not catch.

“You can’t secure what you can’t see” — CSO Online

Takeaway: Ensure your security protocols include monitoring for MCP risks to avoid potential blind spots.

Excerpt from the original — CSO Online

Model Context Protocol (MCP) is the connective tissue of modern AI tooling and has quietly become one of the most significant blind spots in modern security programs. Like shadow IT before it, shadow AI — especially as it relates to MCP risk — introduces a new class of exposures that security teams lack adequate tooling to see and address. Integrating MCP risks into a Continuous Threat Exposure Management (CTEM) program can help security teams keep up by providing a structured methodology and the operational agility needed to surface MCP exposures before attackers do.

Security has always been a race between how fast the attack surface grows and how fast defenders can see it. Vulnerability Management was the first serious attempt to run that race systematically. It worked until the environment got too complex and security teams found themselves prioritizing what was loudest over what …