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Proofpoint named a Pace Setter as of September 2026 in the Gartner Emerging Market Quadrant for AI Application Security - Established Vendors. Share with your network! September 23, 2026 Tim Choi Proofpoint, Inc. is excited to share that Proofpoint has been recognized as a Pace Setter in Gartner's inaugural 2026 Emerging Market Quadrant(TM) for AI Application Security - Established Vendors. As organizations rapidly adopt AI assistants and autonomous AI agents, the challenge is no longer simply protecting AI models - it is governing how AI interacts with employees, enterprise data, and business systems. Proofpoint, Inc. believe this recognition reflects the growing importance of securing AI across the entire enterprise. The Emerging Market Quadrant for AI Application Security evaluates vendors based on Potential to Execute and Potential for Market Disruption. Emerging Market Quadrant is designed to help clients understand the dynamics of relatively new and fast-moving market capabilities and form shortlists of technology providers to explore when making tech-buying, partnering, acquisition, and investment decisions. Proofpoint, Inc. is proud to be recognized as a Pace Setter in Gartner's inaugural evaluation. According to Gartner, Pace Setter vendors are organizations whose "operational scale is supported by strong financial resources, global reach, and established customer bases, enabling them to quickly adapt to evolving AI security needs." Securing the Agentic Workspace. Proofpoint, Inc. believe AI is fundamentally changing how work gets done. Employees are increasingly collaborating with AI assistants, while autonomous AI agents are beginning to perform business tasks on behalf of the enterprise. Together, humans, AI, enterprise data, and business applications are forming what Proofpoint, Inc. call the Agentic Workspace. Securing this new operating model requires more than traditional cybersecurity controls. Organizations need visibility into how AI is being used, governance that reflects enterprise business policies, and runtime protection that ensures AI actions remain aligned with organizational intent. Its AI Security platform is designed around three core principles: * Secure how humans and AI agents use AI, preventing misuse and helping organizations detect rogue behavior. * Secure AI and data as one, combining Proofpoint's expertise in protecting sensitive information with governance for AI interactions. * Govern security, business, and safety risks, ensuring AI actions align with enterprise policies through the combination of enforcing written policies and understanding intent These principles underpin innovations Proofpoint, Inc. is announcing at Protect such as Semantic Business Policies, Intent-Based Access Control, and Agentic Insights, helping organizations operationalize governance across employees, AI assistants, and autonomous AI agents. The next chapter of AI security is about governing AI across the enterprise. As organizations embrace the Agentic Workspace, they need a solution that not only protects AI, but also operationalizes governance, understands intent, and continuously adapts to emerging risks. Proofpoint, Inc. believe this recognition from Gartner reinforces its vision for the future of AI security, and Proofpoint, Inc. is excited to continue helping customers build trusted AI at enterprise scale. Gartner, Emerging Market Quadrant for AI Application Security - Established Vendors, By Meghan Hollis, Dionisio Zumerle, Dennis Xu, Marissa Schmidt, 14 September 2026 Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner's business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose. GARTNER is a trademark of Gartner, Inc. and/or its affiliates. This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Proofpoint.

Proofpoint stops the attacks traditional defences miss in the AI era. Intent-based detection and multi-stage AI reasoning identify and stop sophisticated attacks before, during and after they reach people. Proofpoint announced the Agentic Collaboration Security system, bringing together a new intent-based detection model and agentic capabilities to protect how people communicate and collaborate. The Proofpoint Agentic Collaboration Security system reasons about what an interaction is trying to accomplish, uses context to distinguish malicious intent from legitimate activity, and turns those decisions into action across email, collaboration tools, and the browser. The hardest attacks to detect increasingly resemble normal business activity. A compromised supplier can be leveraged to attack through existing email threads, appearing as normal exchanges to users and defenses. A fraudulent payment request can match an established business relationship. An attack targeting one executive may never repeat. In addition, AI has increased the volume, speed, and sophistication of attacks. When the account, conversation, and request all appear familiar, behavioral anomalies alone may not reveal the threat. Detection must understand both the context surrounding an interaction and its intent. "Attackers increasingly operate inside the relationships and workflows organizations already trust," said Tom Corn, executive vice president and general manager, Threat Protection Group at Proofpoint. "That changes the detection problem. Security needs to understand what an interaction is trying to accomplish, reason over the context around it, and act before the attacker succeeds. Not with disparate tools, but as one system that gets smarter with every decision it makes." One shared foundation At the foundation of the Proofpoint Agentic Collaboration Security system is the Proofpoint Knowledge Graph, which combines threat intelligence on active campaigns, industry attack patterns, and compromised suppliers with organizational context including business relationships, communication patterns, data access, and user risk. The new Nexus Intent-Based Detection Model reasons over that context using multi-stage analysis that adjusts to the ambiguity of each interaction. Most decisions resolve in under half a second, while ambiguous cases receive deeper analysis to determine what a message is trying to accomplish and whether that objective is plausible in context. Together, the Knowledge Graph and Nexus model provide a shared foundation, allowing intelligence from one control point to inform detection, investigation, and user protection across the system. From intent-based detection to agentic action. Because Proofpoint operates both email gateway and API-based protection, intent analysis can begin before delivery and continue in the inbox, with intelligence learned downstream continuously strengthening pre-delivery detection. Proofpoint is the only secure email gateway to deliver intent-based detection before a message reaches the user. * Intent-based detection: Proofpoint applies intent reasoning before delivery at the email gateway and in the inbox through the API. For individuals with outsized access or transaction authority, including executives and finance approvers, Privileged User Protection builds dedicated detection models to identify highly targeted attacks engineered for a specific individual. * Autonomous threat investigation: Proofpoint automatically reconstructs attacks, identifies related messages, determines blast radius, and assembles the evidence needed for response, dramatically reducing the manual effort and time required to investigate attacks across affected users. * Adaptive user protection: Proofpoint continuously identifies and analyzes high-risk users based on each organization's unique environment, explains the factors driving their risk, and dynamically adapts protection and real-time coaching. Behind the scenes, Blue Team and Red Team agents continuously assess risk and test defenses using relevant business context to identify weaknesses and strengthen protection before attackers can exploit them. Strengthening protection at time of click. Proofpoint is also introducing Advanced Browser protection, providing a comprehensive security control point that extends continuous collaboration security beyond the gateway and inbox to the browser. Built in partnership with Push Security, the enhanced solution is the first collaboration security offering to unify Proofpoint's industry-leading email threat intelligence with browser-native protection, helping organizations stop post-click phishing and malicious URLs in the browser, malicious browser extensions, OAuth phishing, credential theft, session hijacking, and other browser-borne attacks. Browser telemetry is integrated into Threat Protection Workbench, the Proofpoint Security Graph, and the Investigation Agent, giving security teams unified visibility and investigation workflows across the entire collaboration attack chain - from message delivery through browser interaction. Availability.

Proofpoint launches AI security system for data risk. Wed, 23rd Sep 2026 (Today) Proofpoint has launched a unified data and AI security system designed to manage risk across both employees and AI agents. The move reflects a broader shift in cyber security as companies give AI tools access to sensitive information, internal systems and business processes. Proofpoint argues that security teams can no longer rely on separate tools for data protection and AI oversight when autonomous software is taking actions once limited to human users. The new product, the Proofpoint Agentic Data and AI Security system, is built to connect data sensitivity, identity, access, behaviour and intent in a single framework. The approach is intended to help organisations understand not only what data an AI tool can access, but why it is acting and whether that activity aligns with internal rules. Built on Proofpoint's existing knowledge graph, the system is aimed at customers already using its data security and governance products. That same foundation secures the data of more than 14,000 enterprises, providing an established base for expanding into AI-related controls. A central part of the launch is a set of three autonomous agents for detection, investigation and remediation. According to Proofpoint, the detection agent identifies significant actions by assessing intent and access together, while the investigation agent reconstructs incidents across data, identity and behaviour. The remediation agent recommends or applies changes such as access adjustments and updates to data loss prevention policies, with human oversight retained for governance. The company is also introducing what it calls Semantic Business Policies, intended to convert existing business rules into controls that can be applied during AI activity. In one example, a rule banning interaction with gambling content could be expressed in plain language and turned into an enforceable runtime restriction. This is paired with intent-based access control, which evaluates whether an AI action matches both company policy and the stated purpose of the employee or agent involved. It is intended to apply whether a worker uses an AI assistant directly or an autonomous agent acts independently on that worker's behalf. Growing concern The launch comes as businesses move AI systems beyond trial deployments and into operational use. Proofpoint cited its 2026 AI and Human Risk Landscape report, which found that 87% of organisations had moved AI assistants beyond pilot programmes, while 52% were not confident their controls could detect a compromise. That gap points to a broader market concern. As AI systems gain the ability to discover information, make decisions and execute transactions, security risks extend beyond conventional data leakage to include operational, financial, compliance and safety issues. Mayank Choudhary, Executive Vice President and General Manager, Data Security and Governance Group, Proofpoint, said the company sees those problems as inseparable. "You cannot secure AI without securing the data it acts on, and you cannot secure data without understanding how AI is using it," Choudhary said. "Intent and access are two sides of the same coin. Securing them separately leaves critical context behind. Bringing AI run-time protections and AI data governance together gives organisations that context, and the ability to act on risk at the speed AI now moves." Proofpoint is also adding a feature called Agentic Insights, which uses autonomous reasoning to examine AI interactions, tool use, policy decisions and behavioural patterns. The aim is to identify risks a company has not yet defined through formal rules or policies. When such a risk is validated, the system can recommend a new Semantic Business Policy to address similar behaviour in future. That creates a feedback loop in which the platform not only enforces existing rules but also proposes new ones as AI behaviour changes. Market shift The announcement highlights how security vendors are repositioning around AI governance rather than treating AI simply as another endpoint or cloud workload. The commercial opportunity lies in helping customers manage autonomous systems that can move rapidly across applications, datasets and workflows with limited direct supervision. For businesses, the appeal of a unified model is that policy enforcement, monitoring and response can operate from a shared view rather than through disconnected tools. That may reduce the manual effort of correlating data access logs, user behaviour signals and AI actions after an incident has occurred. Ryan Kalember, Chief Strategy Officer, Proofpoint, said the challenge is translating long-standing business rules into controls that work in AI-led environments. "Organisations have spent decades defining how their businesses should operate," Kalember said. "The challenge now is making those rules enforceable as AI takes on more consequential work. Business intent needs to become part of the security control itself, with the ability to identify new risks and adapt as AI behaviour evolves."