NSS Labs outlines enterprise AI security governance and testing

NSS Labs has published two whitepapers on enterprise AI security and launched a program to evaluate AI protection systems, with guidance that links technical controls to governance of permitted AI behavior. The updates affect enterprise security and IT leaders planning how to assess and oversee AI deployments.

Research Overview

NSS Labs released two foundational whitepapers focused on enterprise AI security, positioning the topic as both a security and governance matter in a March 18 press release. The firm also launched a program to evaluate the effectiveness of AI protection systems.

In the release, Vikram Phatak, CEO of NSS Labs, described the whitepapers as a framework for securing AI and for governance of what AI systems are permitted to do.

Key Findings

The first whitepaper argues that enterprise AI security should be treated as a system-level and governance challenge. The release attributes this framing to NSS Labs’ approach to how organizations address AI security.

The second whitepaper provides topic areas and questions that buyers can use to evaluate the security of an AI product. The release presents the publication as a structured way to assess security using buyer-oriented inquiry points.

Operational Impact

By linking AI security evaluation with governance of allowed AI actions, the publications aim to give organizations a basis for overseeing AI capabilities and restrictions. The program to evaluate AI protection systems adds an assessment component for protection effectiveness.

For enterprise IT and security teams, the materials are oriented toward establishing evaluation criteria for AI products and AI protection systems through governance and security inquiry topics.

NSS Labs’ March 18 update combines two whitepapers on enterprise AI security with a testing program for AI protection effectiveness, focusing on governance of AI permitted behavior and buyer evaluation questions for AI product security. This “Blog Signals brief” is a fact-based summary of the vendor blog.