Complete visibility, audit trails, and policy enforcement across every AI tool and autonomous agent – from Microsoft Copilot and Google Gemini to Claude Code and shadow AI
Teramind, the global leader in workforce intelligence and user behavior analytics, announced Teramind AI Governance, the first platform to extend enterprise-grade behavioral oversight to every AI tool and autonomous agent operating across the modern workforce.
“This isn’t a technology gap – it’s a governance gap,” said Isaac Kohen, Chief Product Officer at Teramind. “The answer isn’t less AI. It’s governed AI. Teramind gives organizations the confidence to say yes.”
The need is urgent. Teramind’s Internal Research Team found that more than 80% of workers now use unapproved AI tools on the job, one-third have shared proprietary data with unsanctioned platforms, and 49% actively hide their AI use from IT. Worker access to AI rose 50% in 2025 alone (Deloitte), and 23% of organizations are already deploying autonomous agentic systems (McKinsey). Yet until now, no platform existed to govern all of it in one place.
Marketing Technology News:Â MarTech Interview with Omri Shtayer, Vice President of Data Products and DaaS at Similarweb
“This isn’t a technology gap – it’s a governance gap,” said Isaac Kohen, Chief Product Officer at Teramind. “The answer isn’t less AI. It’s governed AI. Teramind gives organizations the confidence to say yes.”
What Makes It Different
Teramind AI Governance requires no new infrastructure and delivers visibility from day one – capturing prompts, responses, and autonomous actions across ChatGPT, Microsoft Copilot, Google Gemini, Claude Code, and shadow AI tools. Key capabilities include complete prompt and response logging, visual evidence capture via screen recording and OCR, full transcripts of autonomous agent activity, behavioral detection of shadow AI by execution pattern rather than signature, and automatic enforcement of existing security policies against AI agents.
Marketing Technology News:Â Martech Architecture For Small Language Models: Building Governable AI Systems At Scale
According to Teramind’s Insider Risk Management Team, AI-associated breaches now cost organizations more than $650,000 per incident – a figure that rises as agentic AI accelerates the scale of potential exposure. With 50% of developers using AI coding tools daily, and agentic systems capable of executing hundreds of commands in thirty seconds, the window for ungoverned AI activity is closing fast.
Built for Compliance Landscape
Teramind AI Governance produces continuous, automatic audit trails across SOX, HIPAA, CMMC, FedRAMP, SOC 2, ISO 27001, and the EU AI Act – meeting the governance standards Deloitte’s 2026 State of AI in the Enterprise identifies as critical for organizations scaling autonomous systems.










