Forcepoint Tackles Enterprise AI Risk with New Claude Integration

AUSTIN, TX – May 26, 2026 – As enterprises race to embed artificial intelligence into their core operations, cybersecurity leader Forcepoint has announced a significant move to secure one of the market's most prominent AI platforms. The company has extended its unified data security platform to Anthropic's Claude Enterprise through a new integration with the Claude Compliance API, a tool designed to give organizations programmatic access to their AI activity.

The integration aims to address a critical pain point for modern businesses: how to innovate with powerful large language models (LLMs) like Claude without exposing sensitive data or running afoul of a rapidly evolving regulatory landscape. Forcepoint's solution promises a 'single pane of glass' for security teams to discover, classify, and protect confidential information across Claude, Microsoft 365 Copilot, ChatGPT Enterprise, and the vast, uncontrolled realm of 'shadow AI.'

"Forcepoint leads the AI security market from the position we've always owned, which is the data," said Ryan Windham, CEO of Forcepoint, in the company's announcement. "Now we're bringing Claude Enterprise under the same AI governance and data security trusted everywhere else. That gives our customers the ability to say yes to AI in their business, with the controls, the attribution and the proof to back it up."

The Enterprise Rush to Claude

Forcepoint's move is strategically timed to capitalize on Claude's surging adoption within the corporate world. While consumer-facing AI is often dominated by other names, Anthropic's Claude has carved out a substantial and influential niche in the enterprise sector. Industry estimates suggest Claude holds nearly 30% of the enterprise AI assistant market, but its dominance is even more pronounced in specialized, high-value areas.

In enterprise coding, for example—a segment that constitutes over half of all business generative AI usage—Claude's market share is estimated to be between 42% and 54%. This preference among developers stems from its advanced reasoning capabilities and its proficiency in handling large, complex codebases. With over 300,000 business customers and reports that eight of the ten largest Fortune 10 companies use its services, Claude is no longer an emerging player but a central pillar of many corporate AI strategies. This deep integration into sensitive workflows, from software development to financial analysis, makes robust, data-aware security an urgent necessity.

A Unified Defense Against 'Shadow AI'

The proliferation of AI tools has given rise to a significant security challenge known as "Shadow AI"—the use of AI applications by employees without the knowledge or approval of IT and security departments. Studies suggest that a staggering nine out of ten AI tools used within an organization may be unsanctioned, creating invisible pathways for data exfiltration and compliance breaches.

Employees might paste proprietary source code into a public AI tool to get debugging help or upload a sensitive financial report for summarization, inadvertently feeding confidential data into models that may log it indefinitely. Traditional security tools are often blind to this traffic, as it typically flows over encrypted web connections. Gartner predicts that by 2030, over 40% of organizations will suffer security or compliance incidents directly attributable to shadow AI.

Forcepoint's platform is designed to counter this threat by providing unified visibility and control. By inspecting data in motion, it can identify and protect sensitive information before it ever reaches an AI tool, whether it's an approved platform like Claude Enterprise or an unsanctioned web-based chatbot. This centralized approach aims to simplify governance and ensure that data protection policies are enforced consistently, regardless of the application being used.

Navigating the New AI Regulatory Maze

Beyond the immediate threat of data leaks, enterprises face a looming wave of complex and stringent AI regulations. Forcepoint's emphasis on providing "audit-ready evidence" directly targets this growing concern for legal and compliance teams.

The European Union's AI Act, which came into force on August 1, 2024, establishes the world's first comprehensive legal framework for AI. It categorizes AI systems by risk and imposes strict transparency, governance, and safety requirements, with potential fines reaching as high as €35 million or 7% of a company's global turnover. Full compliance will be mandatory by August 2, 2026.

In the United States, while a single federal law has yet to materialize, regulatory pressure is mounting. The National Institute of Standards and Technology's AI Risk Management Framework (NIST AI RMF) provides a voluntary but highly influential set of best practices for governing AI risks. Concurrently, the Securities and Exchange Commission (SEC) has made it clear that public companies must disclose material risks associated with their use of AI. Failure to provide transparent and accurate information to investors could lead to enforcement actions.

In this environment, the ability to meticulously track and audit how AI systems interact with sensitive data is no longer a best practice but a critical requirement for risk management. Solutions that provide detailed logs of user activity, data access, and AI-generated responses are becoming indispensable tools for demonstrating due diligence to regulators, auditors, and boards of directors.

A Crowded Field for AI Security

Forcepoint is entering a dynamic and increasingly crowded competitive field. The race to secure enterprise AI has attracted major cybersecurity players. Palo Alto Networks promotes a "Secure AI by Design" strategy, while Zscaler's AI Guard offers protection within its Zero Trust framework. Other specialists, like Varonis and Cyera, are also leveraging integrations with platforms like the Claude Compliance API to offer deep, data-centric security and monitoring.

The Claude Compliance API itself is a key enabler for this ecosystem, providing a standardized way for security tools to access an organization's activity feed, user directory, and even underlying chat content. This allows for continuous monitoring and supports compliance with data access and deletion requests under regulations like GDPR.

As businesses move beyond experimentation and begin deploying AI agents that can act autonomously, the need for this level of governance will only intensify. The ability to monitor AI activity and link it to specific identities—human or non-human—will be fundamental to maintaining control. For enterprises seeking to harness the transformative power of AI, investing in a robust security and governance framework is proving to be the essential first step.