Cyberhaven, a recognized leader in AI-native data security, has taken a significant step forward by launching its new Agentic AI Security solution. This move comes at a time when enterprises are rapidly adopting autonomous AI agents, often referred to as “shadow agents,” which operate beyond traditional visibility and control. As a result, organizations now face a growing need to manage and secure these advanced systems effectively.
Over the past year, the use of AI has evolved considerably. Initially, businesses relied heavily on chat-based tools; however, the trend has now shifted toward autonomous agents that execute tasks directly on endpoints. These agents are not only being developed at a rapid pace but are also gaining widespread adoption across industries. Consequently, they are being granted deeper access to sensitive enterprise data and systems. While this shift boosts productivity, it simultaneously introduces new and complex security risks.
According to Cyberhaven Labs, enterprise adoption of endpoint-based AI agents has surged by an impressive 276% in just one year. In comparison, GenAI SaaS tools have grown at a much slower rate, highlighting a clear transition toward autonomous systems. Additionally, endpoint coding assistants have witnessed a sharp rise, with adoption increasing from 20% to 50% in 2025 alone. This data clearly signals that organizations are embracing agent-driven workflows faster than ever before.
“AI is no longer just generating content, it is executing work,” said Nishant Doshi, CEO of Cyberhaven. “These agents have access to data, tools, and systems, operating with a level of autonomy the industry hasn’t seen before. Yet most governance programs still focus on what users type into AI, not on what AI agents are actually doing. Security can’t operate after the fact. It needs to operate in real time, at the point where AI is taking action.”
Traditionally, AI security efforts focused on monitoring user interactions with tools like ChatGPT or Google Gemini. However, this approach is no longer sufficient. Today, security teams must shift their focus to deeper operational insights. For instance, they need to understand which AI agents are running on endpoints, what data they access, and what actions they perform. Until now, achieving this level of visibility has been extremely challenging.
To address these emerging concerns, Cyberhaven has enhanced its unified AI and data security platform. The new solution introduces three core capabilities. First, visibility enables organizations to discover and track AI agents and their connections. Second, observability provides detailed insights into agent behavior, including data usage and execution patterns. Finally, controls allow teams to enforce real-time safeguards, preventing unauthorized actions and potential data leaks.
As agentic AI continues to gain momentum, endpoints are becoming the central execution layer—and the primary risk surface. Therefore, organizations that rely solely on SaaS-level monitoring risk missing critical activities. With this launch, Cyberhaven is not only addressing a major security gap but also establishing a new standard for AI-native data protection in the era of autonomous systems.
Recommended Cyber Technology News:
- Mazda Data Breach Exposes Employee and Partner Data
- Sumo Logic Expands SOC AI Agent with Remediation Recommendations
- Tycoon2FA Phishing Service Resumes After Takedown
To participate in our interviews, please write to our CyberTech Media Room at info@intentamplify.com
