How does Proofpoint's AI Security platform protect against AI-specific threats?

The platform provides intent-based protection and guardrails for AI agents, assessing whether AI actions align with their designed purpose. It defends against prompt engineering attacks that attempt to manipulate AI behavior and prevents unauthorized data exfiltration by monitoring AI communication patterns and data sharing decisions.

Why are AI agents creating new security risks for enterprises?

AI agents can be socially engineered through prompt manipulation, can inadvertently leak sensitive data, and operate non-deterministically—meaning they don't follow consistent patterns to reach conclusions. This creates an expanded attack surface that traditional security controls weren't designed to address, requiring new guardrails specifically built for AI behavior.

AI Agents & Enterprise Security: Proofpoint's Defense Strategy

Name: AI Agents & Enterprise Security: Proofpoint's Defense Strategy
Uploaded: 2026-04-29T10:05:15-04:00
Duration: 8 min 44 s
Description: TL;DR Proofpoint launched AI Security platform following Acuvity acquisition to address new risks from enterprise AI agent adoption, focusing on intent-based protection and guardrails to prevent prompt engineering attacks and data leakage. Attack volum...

Proofpoint

04/29/2026

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TL;DR

Proofpoint launched AI Security platform following Acuvity acquisition to address new risks from enterprise AI agent adoption, focusing on intent-based protection and guardrails to prevent prompt engineering attacks and data leakage.
Attack volumes have surged 2-3x in some regions and 30-40% in mature markets, driven by AI-enabled threat actors who can now bypass language barriers and scale social engineering attacks without proportional increases in human resources.
Proofpoint integrated language models into their defense systems 18 months ago, shifting from semantic pattern-matching to intent-based detection, maintaining high blocking efficacy despite increased threat volume and sophistication.
The AI security challenge represents a fundamental shift from protecting only humans to protecting both humans and AI agents within a unified platform, as AI can be socially engineered, leak data, and operate non-deterministically.

The AI Agent Security Challenge

Proofpoint CEO Sumit Dhawan addresses the emerging security risks created by enterprise adoption of agentic AI in this NYSE interview from RSAC 2026. As organizations deploy AI agents to enhance productivity, they're simultaneously expanding their attack surface. Dhawan explains that AI agents, like humans, can be socially engineered through prompt manipulation, can inadvertently leak sensitive data, and operate non-deterministically—making traditional security approaches insufficient. The company's response includes the acquisition of Acuvity and the launch of Proofpoint AI Security, a platform designed to provide intent-based protection and guardrails for AI agents. This approach assesses whether AI actions align with their designed purpose, preventing drift that could lead to security incidents or data exfiltration.

AI-Powered Threat Landscape Evolution

The interview reveals significant shifts in the threat landscape driven by AI adoption on both sides of the security equation. Dhawan reports that certain regions are experiencing 2-3x increases in attack volume year-over-year, with sophisticated threats now appearing in markets like Japan, Korea, and the Middle East where language barriers previously limited threat actor effectiveness. Even in traditionally high-threat regions like the U.S. and Western Europe, attacks have surged 30-40%. Proofpoint has responded by integrating language models into their defense systems over the past 18 months, moving beyond traditional semantic pattern-matching to intent-based detection. This evolution has maintained and even improved their threat blocking efficacy despite the dramatic increase in attack volume and sophistication.

Chapters

0:00 - Introduction & AI Security Launch
0:33 - The AI Agent Risk Problem
1:56 - AI-Driven Threat Landscape
4:39 - Proofpoint's AI Defense Strategy
5:47 - Offense vs. Defense Balance
7:09 - Future Roadmap

Key Quotes

0:00 "... our language models are defending, and our efficacy of protection, which is the percentage of threats that get blocked, they never ever get to people's inboxes, it's gone up, even though the volume has surged significantly."
3:34 "We are now seeing in certain countries and regions almost two to three x more attacks year over year. And they are sophisticated. So you can tell that language is no longer a barrier for threat actors."
4:07 "We know for sure this is sophisticated threats. We know for sure that there aren't 30-40 percent more threat actors."
1:43 "AI, unlike other systems, works in a non-deterministic way. You ask it a question, it won't always follow the same pattern to get an answer. So, you really need to assess the intent using AI to make sure that it's not drifting from the purpose that the AI agents were built for."

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