According to a recent LinkedIn post from Noma Security, the company is drawing attention to emerging security risks in how AI agents interact and trust one another. The post highlights commentary from CISO Diana Kelley, who reportedly examines whether AI agents should be trusting each other and emphasizes that many currently do so without verifying the legitimacy of instructions.
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The post suggests that Noma Security is positioning itself around the “inter-agent trust gap,” distinguishing this risk from more widely discussed issues such as prompt injection. For investors, this focus may indicate that the company is targeting a nascent but potentially important segment of AI and cybersecurity tooling, which could become more commercially significant as enterprises scale autonomous and semi-autonomous AI deployments.
By spotlighting the need for verification mechanisms between AI agents before industry tooling fully matures, the LinkedIn content implies that Noma Security aims to be early in addressing this threat surface. If the company can translate this thought leadership into concrete products or capabilities, it could enhance its competitive positioning in the AI security market and create new monetization opportunities as corporate adoption of AI agents accelerates.