What Is Forcepoint and What Does It Do?

Updated

Forcepoint is an enterprise data security vendor whose current focus is AI data security: monitoring, enforcing, and securing data as it moves through AI tools, AI agents, and cloud environments. It is aimed at security and compliance teams in organizations that need to control how sensitive data is used with sanctioned AI, unsanctioned "shadow AI," and autonomous agents. Its core product line is data loss prevention (DLP), extended with AI-specific visibility and policy enforcement.

The problem Forcepoint addresses

AI tools get sweeping access to corporate data. Every prompt, response, and file upload to services like Claude, ChatGPT, Copilot, or AWS Bedrock is a potential data transfer out of the organization. Forcepoint's stated approach is to limit AI from reaching mission-critical data while still letting employees use the tools.

That breaks into four areas the company organizes its messaging around:

  • Prevent data leaks in AI apps — inspect prompts, responses, and uploads to external AI services and block sensitive data from leaving.
  • Monitor sanctioned AI — approved tools still carry risk, especially with AI integrations. Forcepoint provides visibility into usage of tools such as Claude Enterprise, ChatGPT Enterprise, Microsoft Copilot, and AWS Bedrock, and produces an audit trail for regulators.
  • Stop shadow AI — find AI tools that were never reviewed, approved, or inventoried, and enforce usage policies against them.
  • Govern AI agents — agents inherit the full permissions of the user who created them, including access to that user's data sets and files. Forcepoint applies data discovery, classification, and agentic access controls to constrain what agents can reach and do.

What the platform is built on

Forcepoint positions its DLP as "sovereign and cloud-native," meaning:

Capability What it means in practice
Sovereign control Maintain data residency and regulatory compliance across global environments
Cloud-ready protection Consistent DLP across cloud, SaaS, and hybrid environments
One policy everywhere Unify policies across people, data, and AI for continuous control

The pitch is a single AI-powered policy layer rather than separate controls per environment — relevant if your organization operates under data residency rules in some regions and cloud infrastructure in others.

Third-party recognition

Forcepoint cites two analyst placements on its site:

  • Named a Leader in the IDC MarketScape: Worldwide DLP 2025 Vendor Assessment.
  • Recognized as a Strong Performer in The Forrester Wave: Data Security Platforms, Q1 2025.

These are useful as a rough signal of market position in DLP specifically, not as an independent evaluation of the AI security features, which are newer.

Who this is for — and what to check before deciding

Forcepoint is an enterprise-oriented platform, and the site's own framing ("Companies Around the World Trust Forcepoint to Secure Their Data") points at larger organizations with compliance obligations. It is likely a fit if you need DLP that covers AI usage as one policy problem rather than a bolt-on, and if data residency requirements apply to part of your estate.

Before evaluating, note what the public page does not state: specific pricing, plan tiers, deployment timelines, or whether any part of the product is self-serve. The page uses "subscribe" language but lists no pricing or payment details, so treat commercial terms as something to confirm directly with the vendor. If you are a small team looking for a lightweight AI usage monitor, the scope here may be heavier than you need; if you are a regulated enterprise already running DLP, the AI coverage is the part worth testing first.