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Varonis is proud to announce the final availability of Varonis Atlas, an end-to-end AI Safety Platform that helps organizations see and management AI throughout the enterprise.

Atlas is the one platform that covers the complete AI safety lifecycle — from discovery and posture administration to runtime safety and compliance — in a single resolution. It connects to any AI system organizations construct or run: hosted AI platforms, {custom} LLMs, agentic frameworks, chatbots, and embedded AI. And since Atlas is constructed on the Varonis Information Safety Platform, it brings information context that no standalone AI safety device can match.

“AI fully disrupts the enterprise safety mannequin. As a substitute of people clicking via UIs, brokers are accessing information instantly — and this locations information and AI safety entrance and heart,” stated Yaki Faitelson, CEO and Co-founder of Varonis. “In the event you can’t see what AI programs you’ve gotten and what delicate information they will attain, you’ll be able to’t safely use AI at scale. Varonis Atlas offers organizations the quickest path to protected and reliable AI.”

Your quickest path to protected and reliable AI

AI brokers, copilots, and LLMs are actually embedded in enterprise workflows. They learn, write, and act on information at machine pace. Nevertheless, most organizations don’t know which AI programs they’ve, what these programs can entry, or whether or not they’re compliant with rising laws.

Gartner® not too long ago wrote a report, the Way forward for AI Safety is in Securing Agent Actions, Not Prompts, and of their evaluation, researchers found that over 50% of organizations have already begun deploying or plan to deploy AI brokers. Organizations are additionally constructing with AI.

The report predicts AI safety platforms will likely be utilized in 30% of organizations to safe agent improvement inside AI-native software program engineering, because the rising majority of enterprise software program depends on agentic coding instruments.

As enterprises deploy extra autonomous and agentic AI programs, danger escalates:

• Brokers learn, write, create, and modify information repeatedly and at machine pace
• Information entry is usually too broad and poorly understood
• Small misconfigurations can lead to huge information breaches or compliance fines

Because of this AI safety should be rooted in information safety, and why Varonis Atlas exists. Atlas secures all the pieces you construct and run with AI. Let’s take a deeper take a look at these capabilities.

Atlas AI safety capabilities

AI Stock and Shadow AI

Varonis Atlas gives steady discovery of all AI programs throughout the enterprise, together with sanctioned instruments, custom-built brokers, embedded AI, and shadow AI used with out formal approval. By scanning cloud accounts, code repositories, AI platforms, and SaaS utilization, Atlas builds a residing stock that exhibits what AI exists, the way it’s related, what information it may entry, and what actions it may take — forming the inspiration for each different AI safety management.

• Transcend floor discovery: Atlas inventories brokers, fashions, instruments, MCP servers, dependencies, and supporting infrastructure — not simply LLM endpoints or chat apps.
• Uncover shadow AI with context: Found AI property are tied to customers, information entry, and exercise context, making shadow AI instantly actionable as an alternative of simply seen.

AI Safety Posture Administration (AI-SPM)

Atlas AI Safety Posture Administration repeatedly assesses AI programs for vulnerabilities, misconfigurations, delicate information publicity, and agentic dangers throughout the complete AI stack. It analyzes code, prompts, fashions, dependencies, and configurations to floor concrete safety points and hyperlinks them instantly again to the AI property and information they have an effect on. This complete method permits groups to remediate danger earlier than AI programs attain manufacturing or scale.

• Information-aware posture, not simply mannequin checks: Findings are enriched with information sensitivity and entry context from the Varonis Information Safety Platform, exposing actual enterprise danger.
• Constructed for enterprise scale: AI-SPM spans cloud platforms, agent frameworks, {custom} fashions, and third-party AI — not a single improvement setting or use case.

AI Pen Testing

Atlas proactively stress checks AI programs by executing adversarial prompts and dynamic assaults in opposition to reside LLM endpoints. Solely via runtime evaluation can groups uncover all doable points. These checks, due to this fact, simulate real-world threats equivalent to immediate injection, jailbreaks, and coverage bypass makes an attempt, then document unsafe behaviors as concrete safety findings tied on to the affected fashions, brokers, and configurations.

• Stay, dynamic testing: Pen checks run in opposition to actual manufacturing endpoints, not offline simulations or static rule checks.
• Downstream enforcement: Pentest outcomes instantly inform runtime guardrails and posture insurance policies, closing the loop from testing to safety.

AI Runtime Guardrails

Atlas enforces real-time guardrails via an AI Gateway that sits within the reside request path, inspecting prompts, responses, and agent actions earlier than they attain the mannequin or downstream programs. These controls forestall delicate information leakage, block malicious or noncompliant conduct, and generate real-time alerts — with out requiring adjustments to the underlying AI software or mannequin.

• AI-aware blocking and coverage enforcement: Guardrails perceive execution circulation, agent instruments, and oblique leakage paths — not simply easy sample matching.
• Buyer-owned information airplane: Prompts, responses, and telemetry keep contained in the buyer’s setting, supporting information residency and sovereignty necessities.

AI Compliance and Governance

Atlas operationalizes AI governance by repeatedly mapping AI programs to regulatory frameworks such because the EU AI Act and NIST AI RMF. The platform generates audit-ready experiences, maintains lineage and transparency artifacts, and tracks danger assessments and remediation standing—turning compliance from a one-time train into an ongoing, evidence-backed course of.

• Constructed on actual system proof: Compliance reporting is grounded in reside AI stock, lineage graphs, exercise logs, and safety findings — not questionnaires alone.
• Unified with safety controls: Governance is instantly related to discovery, posture, pen testing, and runtime enforcement, avoiding fragmented GRC tooling.

AI Third-Celebration Danger Administration (AI TPRM)

Varonis Atlas extends AI safety past internally constructed programs to incorporate the AI providers, fashions, and platforms organizations eat via their provide chain. It repeatedly assesses third-party AI distributors by combining their AI stock or AI Payments of Supplies (AIBOM) with vendor questionnaire responses to know how exterior AI programs deal with information and presumably create danger attributable to particular dependencies.

This allows organizations to determine, monitor, and remediate third-party AI danger as a part of a unified AI safety lifecycle.

• Steady, not time limit: Third-party AI danger is repeatedly reassessed as vendor inputs, dependencies, or behaviors change, slightly than counting on static evaluations.
• Built-in with AI stock: Third-party AI programs are tracked alongside inner AI property, offering automated danger evaluation and visibility.

AI Exercise Monitoring

Atlas AI Exercise Monitoring gives end-to-end visibility into how AI programs behave in manufacturing by capturing prompts, responses, agent actions, information entry, and guardrail selections. By way of a customer-owned observability layer and centralized dashboards, safety and governance groups can perceive how AI is used, detect anomalous conduct, and examine incidents with full execution context throughout fashions, brokers, and instruments.

• Full execution visibility: Monitoring spans prompts, responses, agent device calls, and information entry—not simply person chat logs or mannequin outputs.
• Buyer-owned telemetry: All AI exercise logs stay inside the buyer’s setting, supporting auditability, information residency, and forensic investigation.

AI Detection & Response (AIDR)

Varonis Atlas delivers AI Detection and Response (AIDR) by figuring out malicious, unsafe, or noncompliant AI conduct throughout fashions, brokers, instruments, and information flows in actual time. When threats equivalent to immediate injections or jailbreak makes an attempt are detected, Atlas generates actionable alerts, blocks exercise inline when wanted, and integrates with SIEM and SOAR platforms to help speedy investigation and response.

• AI-native menace detection: AIDR understands AI-specific assault strategies and agentic conduct slightly than counting on conventional software safety alerts.
• Unified with information safety: Detections are enriched with information sensitivity and entry context, enabling groups to prioritize incidents primarily based on actual enterprise influence.

Safe AI and the info that powers it

AI safety can’t reside in silos or level options. It calls for a unified method that connects to the info that AI is dependent upon. As organizations scale AI additionally they scale publicity. The one manner ahead is safety that understands each how AI behaves and what information it may attain.

“Most AI safety instruments are fragmented and data-blind. They’ll stock your AI programs or monitor prompts, however they will’t see what delicate information AI is accessing or management what it does with that information. That’s the true danger, and is strictly what Atlas and the Varonis Information Safety Platform resolve collectively.”

Ron Bennatan, VP of AI and Information Safety Technique at Varonis, co-founder of AllTrue.ai, creator of Guardium (acquired by IBM) and jSonar (acquired by Imperva)

Varonis Atlas is offered at this time. Start by watching the demo video under or with a free trial with full entry to Atlas’ AI stock, posture administration, safety testing, runtime guardrails, and compliance reporting performance.

Sponsored and written by Varonis.