The launch comes as data shows nearly half of organizations (47 percent) lack full visibility into how employees are using AI, a gap that creates tremendous risk as AI adoption accelerates. Additionally, adoption of AI outpaced most organizations’ ability to secure it. In a global survey of 1,200 cybersecurity practitioners, nearly half of organizations (47 percent) lack full visibility into employee AI tool usage. Additionally, Gartner predicts, “by 2030, over 40 percent of enterprises will suffer security or compliance incidents linked to unauthorized shadow AI.”
Shadow AI is the use of artificial intelligence tools, models, or features by employees without the approval, knowledge, or oversight of an organization’s IT or security teams
To address this challenge, Bitdefender built GravityZone AI Visibility and Control as an add-on to GravityZone, the company’s unified security, risk management, and compliance platform.
GravityZone offers endpoint detection and response (EDR), extended detection and response (XDR), cloud-native security, and GravityZone PHASR (Proactive Hardening and Attack Surface Reduction), which attempts to reduce attack surface threats.
Indeed, the platform provides deep security context for detections and a seamless path to Bitdefender Managed Detection and Response (MDR) services. Additionally, the launch marks a key step in Bitdefender’s commitment to simplify security across customer operations in the AI era.
GravityZone AI Visibility and Control uses the GravityZone agent to scan for AI tools and applications across environments. It assesses and assigns risk levels to each finding, giving IT and security teams the context needed to prioritize and remediate the highest-priority exposures.
Benefits
Key benefits include the ability to:
- Uncover shadow AI and reduce visibility gaps: Detect sanctioned and unsanctioned AI tools running across the environment, including chatbots, local LLMs, coding assistants, autonomous agents, Model Context Protocol (MCP) servers, and AI-enabled SaaS, giving security teams a clear, comprehensive inventory of AI usage.
- Assess risk and enforce AI governance: Rank AI usage by risk level to prioritize unknown, high-risk activity over routine business use, then enforce established policy through GravityZone controls such as application control and web filtering to allow, restrict, or block AI tools based on that risk.
- Apply dynamic hardening based on AI behavior: Paired with GravityZone PHASR, GravityZone AI Visibility and Control feeds telemetry that establishes a behavioral baseline for AI agents and continuously adjusts security hardening in response to AI activity and established rules, reducing exposure without manual tuning.
- Consolidate AI and endpoint security in a single platform: Proactively manage AI risk alongside existing attack surfaces within one platform used for threat prevention, detection, and response, avoiding the added cost and complexity of a standalone solution.
AI-enabled attacks now move at machine speed, shortening the time between initial compromise and impact. A reactive detection and response strategy alone is not enough. Moreover, organizations must adopt a prevention-first approach, disrupting attacks as early as possible and closing opportunities for compromise before exploitation.
“AI adoption is moving faster than most security teams can manage, leaving organizations exposed to risks they can’t see,” said Daniel Daraban, vice president of products, Bitdefender Business Solutions Group. “Closing that gap requires a prevention-first security mindset that identifies and stops threats up front, before they ever reach detection and response or higher defense layers.”
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