Varonis Systems, Inc., widely recognized for data and AI security, has officially launched Varonis Atlas, its end-to-end AI Security Platform designed to help enterprises discover, manage, and secure AI across their environments.

As AI agents, copilots, and large language models become more deeply embedded in daily business operations, organizations are moving faster than ever to adopt automation at scale. However, this rapid transformation also creates new security and compliance challenges. AI systems now read, write, and act on enterprise data at machine speed. As a result, many businesses still struggle to identify which AI tools they are using, what those tools can access, and whether they meet evolving regulatory requirements.

“AI completely disrupts the enterprise security model. Instead of humans clicking through UIs, agents are accessing data directly — and this places data and AI security front and center,” said Yaki Faitelson, CEO and co-founder of Varonis. “If you can’t continuously discover, assess, and secure agents and LLMs, you can’t use AI at scale. Varonis Atlas gives organizations the fastest path to safe and trustworthy AI.”

With this launch, Varonis aims to address the full AI security lifecycle through one unified platform. More importantly, Atlas enables organizations to move from visibility to control without relying on disconnected tools. The platform supports a broad range of AI environments, including hosted AI platforms, custom LLMs, agentic frameworks, chatbots, and embedded AI systems. In addition, Atlas integrates with the Varonis Data Security Platform, allowing it to bring critical data context into AI security workflows—an area many standalone tools often miss.

Varonis has structured Atlas around three major functions: Find, Fix, and Alert.

Under Find, Atlas continuously identifies AI assets, projects, and systems across the enterprise, including shadow AI. It also scans AI agents, chatbots, and models for vulnerabilities and misconfigurations through AI Security Posture Management (AI-SPM). Furthermore, the platform includes AI penetration testing to proactively evaluate risks such as prompt injection and jailbreak attacks.

Under Fix, Atlas gives enterprises the ability to apply runtime guardrails that prevent sensitive data exposure and block malicious or non-compliant AI behavior in real time. It also delivers built-in compliance and governance reporting, which helps organizations validate alignment with changing AI regulations and frameworks. At the same time, Atlas strengthens supply chain oversight through AI third-party risk management, enabling companies to monitor AI usage across products and services they consume.

Under Alert, the platform provides detailed monitoring of AI interactions by capturing end-to-end activity trails, including LLM calls, data access, tool usage, and guardrail actions. It also supports AI Detection & Response (AIDR), which helps security teams detect suspicious behavior, generate real-time alerts, and integrate security insights with SIEM and SOAR systems.

“Most AI security tools are fragmented and data-blind,” said Ron Bennatan, VP of AI and Data Security Strategy at Varonis and co-founder of AllTrue.ai, creator of Guardium (acquired by IBM) and jSonar (acquired by Imperva). “They can inventory your AI systems or monitor prompts, but they can’t govern the entire AI lifecycle or control what it does with your critical data. That’s the real risk, and is exactly what Atlas solves.”

Varonis Atlas is available now. The company is also offering organizations a free trial that includes full access to its AI inventory, posture management, security testing, runtime guardrails, and compliance reporting capabilities. Overall, the launch positions Varonis to help enterprises adopt AI more confidently while protecting the data that powers it.

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