Organizations are adopting AI tools quickly, but many are still figuring out how to manage the data risks those tools create. Sensitive information now moves across cloud platforms, collaboration apps, analytics systems, and AI workflows. As a result, security teams often struggle to see where data is going and how it is being used.
Forcepoint is addressing this challenge with new updates to its
Data Security Cloud platform. The company introduced ARIA (Adaptive Risk Intelligence Assistant), an AI assistant that helps create data protection policies and respond to incidents faster. Forcepoint also added new endpoint intelligence capabilities and updated its
Global Partner Program to help partners deliver data security services around the platform.
The goal is to help organizations manage data security in environments where information is constantly being created, shared, and processed by AI systems.
ARIA Helps Security Teams Create Policies Faster
ARIA is built directly into the Data Security Cloud platform and allows administrators to create and manage data security policies using natural language.
The assistant analyzes signals across the environment, including discovered sensitive data and risk activity. It can highlight gaps where data may not be protected and suggest policies that security teams can review and apply.
For partners and managed service providers, this can simplify how they manage security policies across multiple customer environments.
Tim Puccio, Global Channel Chief at Forcepoint told ChannelE2E, “ARIA helps MSSPs and partners translate customer requirements into enforceable protection much faster. Using natural language, ARIA can recommend or generate policies based on discovered sensitive data, regulatory needs, and risk signals across the environment.”
As ARIA operates within the Data Security Cloud platform, it can connect signals from multiple parts of the environment. “Because it operates within Forcepoint Data Security Cloud, it correlates signals from data discovery, classification, user behavior, and policy events to highlight protection gaps and recommend actions,” Puccio said.
He added that this can help partners deploy policies more consistently across customers.
“This helps partners standardize policy frameworks across customers, accelerate onboarding, and respond to incidents faster with guided remediation and investigation insights,” Puccio said.
Endpoint Intelligence Protects Data on User Devices
Forcepoint also introduced a new Data Security Everywhere agent that extends protection directly to endpoints.
Instead of routing all traffic through a central proxy, the agent analyzes activity on the user’s device. This allows organizations to inspect and protect data as it is accessed or shared from endpoints. The agent can allow data use within approved AI tools while preventing sensitive information from being uploaded to unsanctioned AI services or personal cloud storage.
This type of endpoint visibility is becoming more important as employees interact with corporate data through browser-based tools and AI services that may not pass through traditional network security controls.
Expanded Data Security Across Analytics and Cloud Platforms
Forcepoint also expanded data protection capabilities across modern analytics environments and cloud platforms.
The platform now supports structured data protection in cloud data lakehouse platforms such as Databricks and Snowflake. These environments increasingly store large amounts of business and AI training data, making visibility and control important for security teams.
Forcepoint also expanded integration with platforms such as Google Workspace and continues to apply consistent protection across SaaS, endpoint, web, and email environments under a single policy framework.
Puccio said ARIA plays a key role in connecting these signals across the platform.
“ARIA is designed to simplify data security operations, not just summarize alerts or policy guidance,” he said. “It operates as an intelligence layer on top of Forcepoint’s Self-Aware Data Security architecture, pulling in signals from DSPM powered by our AI Mesh, which delivers highly accurate discovery and classification at scale across both structured and unstructured data.”
ARIA then connects those signals with activity across different environments.
“ARIA correlates those insights with user risk signals and activity across channels like endpoint, web, email, and SaaS to identify gaps and activate policies directly within ARIA,” Puccio said.
He added that the goal is to move quickly from identifying a risk to enforcing protection.
“Most importantly, enforcement is powered by Forcepoint’s DLP engine, allowing ARIA to move from insights to real protection by deploying policies or generating custom insight dashboards,” Puccio said. “The result is faster movement from identifying risk to implementing protection.”
Partner Program Expands Opportunities for Data Security Services
Alongside the technology updates, Forcepoint redesigned its Global Partner Program to align more closely with the Data Security Cloud platform.
The updated program introduces a simplified three-tier structure and focuses on helping partners build services around data security.
“The redesigned Global Partner Program positions partners to deliver measurable outcomes quickly,” Puccio said.
He said the new structure simplifies participation while supporting recurring services.
“Partners benefit from transparent requirements, defined benefits at each level, and strong margins around deal registration and renewals,” Puccio said. “It also creates opportunities for recurring revenue and high-margin professional services.”
The platform’s unified architecture also creates opportunities for partners to expand services within existing accounts.
“Because Data Security Cloud unifies DSPM, DLP, DDR, CASB, RBI, forensics and risk-adaptive protection under one framework, partners can expand within accounts without introducing new vendors or integration complexity,” Puccio said.
Data Security Becomes Central to AI Adoption
The updates highlight a broader shift in cybersecurity strategy. As organizations adopt AI and cloud-based tools, data is no longer confined to a single system or network.
Security teams are increasingly focusing on protecting the data itself rather than just the infrastructure around it.
Platforms that can discover sensitive information, monitor risk signals, and enforce policies across endpoints, cloud services, and AI systems are becoming a core part of that approach. Forcepoint’s latest updates support that shift by combining AI-driven policy creation, endpoint intelligence, and unified enforcement within a single platform designed to protect data wherever it moves.