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Proofpoint: Why Intent Is the Missing Piece of AI Security

Proofpoint
07/05/2026
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What is the human or agent trying to accomplish? What data is involved and could the outcome create harm? A user or agent may be authorized to access data, but that does not mean every action is appropriate. Permissions are not the same as intent. Access is not the same as trust. Identity and permissions are important, but not sufficient. That is why AI runtime security has to not just see what happened. It has to also understand intent, context, and outcome. It has to help organizations know whether people and AI agents are acting within the guardrails of what business expects. Intent is the connective tissue between human behavior, AI activity, data context, and risk. And knowing and controlling intent is the only way to govern the risk of AI. That is what makes this different from traditional cyber risk. And this is where Proofpoint is uniquely positioned to help you, our customers.

TL;DR

  • Permissions and identity controls are necessary but not sufficient for governing AI risk — intent must also be understood and controlled at runtime.
  • Every AI prompt and agent action carries an intent that determines whether the outcome could create harm, regardless of whether access was authorized.
  • Proofpoint positions itself as uniquely capable of delivering AI runtime security that evaluates intent, context, and outcome — not just access.

Summary

In this short clip from Proofpoint's AI Security Summit, CEO Sumit Dhawan makes a pointed argument about the fundamental gap in how organizations are approaching AI governance today. The core thesis is that permissions and identity controls — the traditional pillars of access management — are necessary but insufficient when it comes to governing AI risk. Every AI prompt and every AI action, whether initiated by a human or an autonomous agent, is driven by intent. A user or agent may be fully authorized to access a dataset, but that authorization says nothing about whether a specific action is appropriate in context. Dhawan frames intent as the connective tissue linking human behavior, AI activity, data context, and risk — and argues that controlling intent is the only viable path to governing AI at runtime. This positions Proofpoint's AI security approach as distinct from traditional cybersecurity frameworks, which focus primarily on access control and identity verification. The clip serves as a positioning statement ahead of a full AI Security Summit recording, signaling Proofpoint's strategic push into the AI governance and runtime security market.

Chapters

0:00 - The Role of Intent in AI
0:19 - Permissions vs. Intent
0:30 - AI Runtime Security Defined
0:58 - Proofpoint's Unique Position

Key Quotes

0:19 "Permissions are not the same as intent."
0:22 "Access is not the same as trust."
0:47 "Intent is the connective tissue between human behavior, AI activity, data context, and risk."

FAQ

Why aren't permissions enough to secure AI systems?

According to Proofpoint CEO Sumit Dhawan, permissions confirm that a user or agent is authorized to access data, but they say nothing about whether a specific action is appropriate in context. AI runtime security must also evaluate intent, context, and outcome to determine whether behavior falls within expected business guardrails.


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