Introducing Opsin 2.0: Now supports ChatGPT Enterprise and expands detection & response for AI misuse

Enterprise AI adoption is accelerating with tools like Microsoft Copilot, and — increasingly — ChatGPT Enterprise. According to Gartner, 56% of enterprises plan to deploy ChatGPT Enterprise or ChatGPT-based assistants in the next 12 months, making it the #2 GenAI priority behind Microsoft 365 Copilot.

Employees prefer the intuitive ChatGPT experience, and organizations want that same productivity inside a secure environment. But as usage surges, so does risk:

• Sensitive data leaking through prompts
• AI generating or summarizing information users shouldn’t access
• Abnormal or insider-risk behavior hidden in AI interactions

Today we’re introducing Opsin 2.0, the AI Detection & Response platform designed to give enterprises full visibility, accurate detection, and confident response across Copilot and now ChatGPT Enterprise.
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Why Expanding to ChatGPT Enterprise Matters

ChatGPT Enterprise is becoming one of the most widely used AI tools in organizations. As employees increasingly rely on it to write, research, and analyze, security teams need visibility into:

• How ChatGPT is being used
• What sensitive data is exposed through prompts
• Whether actions align with user roles
• Where misusage or insider activity may be emerging

Opsin 2.0 now delivers full ChatGPT Enterprise monitoring, offering the same depth of detection and context already used for Copilot.

This gives security leaders a single, consistent way to understand AI usage across the organization.
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Monitor AI Usage Across Copilot, and ChatGPT Enterprise

Traditional tools (DLP, CASB) weren’t built to analyze prompts, responses, or GenAI behavior patterns. Opsin fills this gap by continuously analyzing:

• Who is interacting with AI tools
• What data is being accessed, summarized, or exposed
• How behavior compares to normal usage patterns
• Where access misalignment or risky intent appears

Opsin transforms AI activity from a visibility blind spot into a governance-controlled environment.
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Accurate Detection of AI Misusage and Insider Risks

Opsin’s detection engine combines three types of context:

1. Identity — role, expected access, behavioral history
2. Data — sensitivity and exposure risk
3. Input/Output — the full prompt/response cycle

This allows Opsin to detect:

• Users accessing or interacting with data beyond their role
• Abnormal or high-risk prompt patterns
• Attempts to expose, summarize, or exfiltrate sensitive content
• Unusual behavior involving sensitive data
• Insider-threat signals hidden within prompts and responses

By understanding who did what with which data, Opsin identifies issues with much higher accuracy and significantly less noise.

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Best-Practice AI Monitoring Policies — No Rules to Write

Most organizations are still building their AI usage policies. Even fewer can translate them into detection logic.

Opsin solves this with prebuilt, best-practice AI monitoring policies based on:

• Enterprise AI usage data
• Insider-risk research
• Data protection frameworks
• Security best practices

These policies provide immediate coverage for Copilot and ChatGPT Enterprise — with no custom rules or manual tuning required.

Turn it on → it starts catching risky behavior.
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Full Context for Every Incident — With Clear Next Steps

Opsin doesn’t just alert. It explains:

• What happened
• Why it’s risky
• Which sensitive data is involved
• Whether behavior is normal or anomalous
• How the activity aligns with the user’s role and privileges
• Recommended response actions

This reduces investigation time dramatically and strengthens insider-risk, governance, and IR programs.

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AI is everywhere. Now you can monitor it — and control it.

As enterprises accelerate their adoption of Copilot and ChatGPT Enterprise, Opsin 2.0 provides the missing layer of AI visibility, detection, and governance.

👉 Ready to detect and respond to risky AI behavior? Schedule a demo →