Securing the Agentic AI Era

AI has reshaped how organizations think about data security.

Most AI governance programs have historically focused on generative AI, controlling how data is shared with chat tools and using network or proxy-based approaches to discover AI activity. That approach created an important first layer of control.

But the environment has continued to evolve, even in just the last few weeks. AI is becoming more capable and more integrated into daily workflows. Security teams are beginning to adopt AI in their own operations. And at the same time, data is spreading across more environments: Browsers, unmanaged devices, and systems that traditional controls were never designed to cover.

These shifts are connected. Together, they are redefining where risk comes from and how security teams need to operate.

Existing approaches only capture part of the picture. Visibility into web-based AI is now table stakes, but it misses a growing segment of powerful AI agents deployed on endpoints that trigger workflows across a distributed set of systems.  

Today, Cyberhaven is introducing its Spring 2026 release, designed for this new reality and helping organizations secure modern AI usage, accelerate security analyst productivity, and extend data protection everywhere data moves.

A New Approach: Start with Data, Follow the Risk

Cyberhaven approaches this shift from a different starting point. Instead of trying to monitor each surface independently, AI tools, endpoints, browsers, or users, we focus on what connects all of them: data.

Every meaningful security event ultimately comes down to how data is accessed, used, and moved. Where it originated, how it was transformed, and where it ended up is what defines risk.

That’s why Cyberhaven is built on a Data Lineage foundation. It allows security teams to move beyond isolated signals and understand activity in full context, whether it comes from a user, an application, or an AI agent.

Securing Modern AI, Including Agentic Workflows

AI is no longer confined to chat interfaces. It’s becoming embedded in workflows, tools, and systems across the enterprise.

Cyberhaven’s Agentic AI Security solution is designed for this new reality. It begins with an inventory of AI. Cyberhaven continuously discovers AI apps and agents across the environment, including those running in browsers or locally on endpoints, employee laptops, developer tools, and command-line environments, where traditional approaches have limited or no coverage.

From there, Cyberhaven monitors how these agents interact with data over time. Instead of analyzing a single prompt or event, it reconstructs the full execution flow: what data was accessed, what tools were invoked, and how actions unfolded across multiple steps.

This shift from point-in-time inspection to workflow-level understanding is critical. Risk rarely appears in isolation. It emerges across sequences of actions.

And when something crosses a line, Cyberhaven enforces real-time guardrails, blocking, warning, or guiding users with clear, contextual feedback. The goal isn’t to slow down AI adoption, but to make it safer and more controlled.

Turning Every Analyst into an AI and Data Security Power User

As environments become more complex, the challenge for security teams is no longer just detection. It’s speed and efficiency.

Analysts spend too much time assembling context, pulling together data from multiple systems before they can begin a meaningful investigation.

The Analyst Plugin connects Cyberhaven directly into AI tools like Claude Code, Codex, and other MCP-compatible clients. It brings data lineage, classifications, and incident context into the AI assistants analysts already use.

Instead of switching between consoles, analysts can interact with their data directly, using natural language to run complete workflows, from incident triage to exposure analysis to executive reporting.

What changes is not just speed, but how work gets done. Investigations begin with context already assembled, allowing teams to focus on analysis and decision-making rather than data collection.

In practice, this means every analyst has the full context of the Cyberhaven platform at their fingertips, turning every analyst into an instant power user for managing data risks and investigating insider threats.

Extending Data Protection to Unmanaged Devices

At the same time, one of the biggest gaps in enterprise security remains coverage.

Modern organizations operate across a mix of managed and unmanaged devices, including contractor machines, ChromeOS environments, and personal devices. These systems often access sensitive data through the browser, without full endpoint visibility.

The Standalone Browser Extension delivers data visibility and policy enforcement directly in the browser, without requiring a full endpoint deployment. Security teams can trace uploads, downloads, and copy/paste activity, apply content inspection, and distinguish between corporate and personal accounts.

This creates a new baseline for protection. Instead of waiting for complete endpoint coverage, organizations can extend data security to where work is actually happening, immediately.

Strengthening Investigations with Richer Evidence

When incidents occur, context determines how quickly teams can respond.

Cyberhaven’s Expanded Screen Capture enhances investigations with richer, video-based evidence that captures activity before and after key events. Instead of relying on isolated snapshots, teams gain a clearer understanding of user behavior and intent.

This reduces ambiguity, accelerates investigations, and improves confidence in response decisions.

A Platform Built for the Way Work Happens Now

Each of these capabilities addresses a different part of the problem. Together, they reflect a broader shift.

AI is changing how work gets done. Security teams are changing how they operate. And data is moving across environments faster than ever. These are interconnected challenges that Cyberhaven addresses through the Unified AI & Data Security Platform.

It’s not enough to monitor one surface, whether that’s the web, the endpoint, or the network. Risk now emerges across workflows that span all of them, including AI agents acting on behalf of users.

To keep up, security teams need to understand what happens to data across the entire lifecycle.

That’s the foundation Cyberhaven provides.

Join us for our live webinar Securing the Agentic AI Era, or watch it on-demand. And see how Cyberhaven is reimagining data security with a unified platform built for the AI era.