Global cybersecurity leader Forcepoint today launched AI Data Security, the first cloud platform integrating oversight with protection that follows sensitive data across every autonomous agent, shadow AI and sanctioned AI application. Forcepoint sets a new standard for AI Data Security by stopping risk and giving agentic enterprises the confidence to put their most sensitive data to work in AI without slowing the business.
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“The data you most want to protect is the data that makes AI worth using. I’d urge every agentic enterprise to stop locking AI down and start securing it where the risk actually lives, in the data itself. Other approaches will only tell you what’s at risk. Forcepoint’s protection travels with your data into AI and proves it can be trusted there,” said Ryan Windham, CEO of Forcepoint.
Employees and autonomous agents now feed sensitive data into models, applications and copilots. Securing that information and securing the AI that uses it were once separate efforts. However, the agentic reality is that they are now the same problem. Once sensitive data flows into AI, protecting it requires governing the AI that uses it, yet these efforts are hampered by legacy systems and inconsistent classification. Underscoring these challenges, 79 percent of organizations report struggling to secure the information behind AI initiatives.
Forcepoint is defining the AI Data Security category by unifying both into a single platform. Because AI does not discriminate by location or channel, neither does Forcepoint, securing sensitive data — structured and unstructured, on-premises and in the cloud — across every channel AI can reach. Rather than stop at visibility, the Forcepoint AI Data Security Platform delivers protection from the data layer up. It knows where sensitive data lives and where AI risk emerges, binding intelligent policy to the information itself and enforcing it through every prompt, agent and integration across channels. At the same time, protection uniquely adapts automatically as risk changes.
The Forcepoint architecture that already protects data across web, email, endpoint and network now governs it inside AI, delivered from the cloud or on-premises. Enterprises and governments can bring their most sensitive data into AI, see every agent in use and understand what each one touches, without making tradeoffs between innovation and safety. They adopt AI with confidence, not fear, certain of their data’s location, sensitivity and interactions with AI, and can prove to regulators, boards and customers that critical information and agents can be trusted together.
Thousands of organizations rely on Forcepoint to secure AI today, across financial services, healthcare, government and manufacturing. They can extend protection into AI on the platform they already run, reducing data security policy management by up to 90 percent, with a 31 percent drop in operating costs.
“For 20 years, security meant keeping sensitive data away from risk. AI flips that,” said Ryan Windham, CEO of Forcepoint. “The data you most want to protect is the data that makes AI worth using. I’d urge every agentic enterprise to stop locking AI down and start securing it where the risk actually lives, in the data itself. Other approaches will only tell you what’s at risk. Forcepoint’s protection travels with your data into AI and proves it can be trusted there.”
Adaptive AI Security Built from the Data Up
The new platform’s capabilities span autonomous agents, sanctioned AI and shadow AI to address the full arc of AI Data Security: discovery, classification, control, guardrails and governance. As agents continue to outnumber human users and multiply, each becomes a new path for exposure. Forcepoint’s contextual intelligence, adaptive protection and single-policy framework reach across these risk surfaces.
“The hardest problem in enterprise security right now is ensuring that sensitive data stays protected once employees put it into AI, whether sanctioned or not,” said Roland Cloutier, Strategic Security Advisor and former Chief Security Officer at TikTok, ADP and EMC, among others. “Forcepoint’s approach is notably different, because it moves past visibility to enforcement that follows the data itself, which is what defensibility to auditors and boards actually requires. Knowing where your data goes is table stakes now. Proving it stays protected is the job across the enterprise, inside and outside of security.”
New Forcepoint Platform innovations include:
Agentic AI
- AI Security Visibility and Governance — See every agent running in the environment and tie each activity to a person, an agent or combination, with full identity attribution.
- AI Agent Gateway — Enforce least-privileged, field-level data protection for autonomous agents accessing enterprise applications like Salesforce, Microsoft 365 and Jira, preventing agents from holding direct application credentials.
Sanctioned and Unsanctioned AI
- Real-Time Prompt and Response Control — Protect sensitive information used with AI by inspecting every prompt and AI-generated response inline.
- Data Loss Prevention for AI — Stop leakage of PII, PCI and other regulated data by enforcing protection policies across AI workflows.
- Confidential File Protection — Keep confidential files out of AI summaries by identifying and tagging them (MIP Tagging) across the Forcepoint Platform
- Inline Control of Shadow AI — Contain shadow AI risk by allowing or blocking unsanctioned AI apps by policy, inline and in real time.
- Personal vs. Corporate Tenant Detection — Restrict AI to governed corporate accounts by allowing corporate-account access while blocking personal-account access.
Across AI Risk Surfaces
- AI Detection and Response (AIDR) — Govern sanctioned apps, shadow AI and agents from a unified dashboard, inspecting data flowing through a broad range of API connectors such as ChatGPT Enterprise, Microsoft Copilot, Claude Enterprise and AWS Bedrock.
- AI-guided, natural language security and governance — ARIA, the embedded assistant, lets any team create, govern and enforce AI policies automatically, using plain-English recommendations that eliminate the need for training or policy expertise.
- Single-console AI oversight, powered by Forcepoint Insights — Get automated, board-ready reports on risk trends, threats stopped and top risky users, monitoring approved and unsanctioned AI from one console, with historic usage on connection.
- AI-powered discovery and classification — Identify, tag and protect IP and regulated data before it reaches any AI tool across unstructured and structured sources, including Google Workspace, Databricks and Snowflake.
The new AI Data Security platform is available today from Forcepoint’s global community of partners with the AIDR, agentic AI gateway and shadow AI controls available on a rolling basis over the next quarter. Existing customers can add AI Data Security features to their existing Forcepoint solution.
Read the blog for more information. Forcepoint will share agentic AI security best practices and demos at upcoming industry events, including Black Hat and Forcepoint AWARE26 Fall, now open for pre-registration. For more information, visit https://www.forcepoint.com/ai-data-security.
About Forcepoint
Forcepoint is the global AI data security leader. The company’s AI Data Security platform knows sensitive data as it is created, adapts the moment risk changes and protects continuously across cloud, web, networks, email, endpoints and AI through a unified, single-policy framework. Based in Austin, Texas, Forcepoint creates safe, trusted environments for customers and their employees in more than 150 countries.
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