CompliantLLM Launches: Detect Data Leaking into 3rd Party GenAI tools

CompliantLLM recently launched!

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^{"Detect data breaches in approved & unapproved AI workflows"}

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^TL;DR:

• ^{GenAI products introduce new surfaces for data leaks – a growing concern with increasing AI usage in companies.}
• ^{CompliantLLM analyzes AI logs and finds GenAI-specific attacks and anomalies to detect data breaches.}
• ^{It surfaces every PII-leak or unauthorized/malicious data access, across approved and unapproved AI workflows.}

https://www.youtube.com/watch?v=XbheLR6CIMc

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Founded by Kaushik Srinivasan & Neha Nupoor‍

Kaushik was previously an engineer leading payments solutions at Google Pay, where he faced the problem of building compliant payment gateway solutions. He worked at Uber before this on their customer support AI efforts, where he met Neha.

Neha previously led the automation of customer support at Uber using AI Agents. She brings her experience of building real-time AI workflows that worked at Uber’s scale and complexity to build CompliantLLM.

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Problem

• GenAI introduces new ways for leaking sensitive data or breaching data access controls. The problem is getting worse as AI agents connect to more workflows with increasing autonomy.
• Currently, leaders lack visibility and control into which GenAI apps are in use and the potential data-exfiltration risks that they create.

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Source: https://www.ibm.com/reports/data-breach

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Solution

CompliantLLM monitors employee interactions with third-party GenAI tools and detects every data exfiltration incident.

They monitor users’ past actions, their role, and data access permissions across teams, identifying unauthorized data access and prompt injection attacks.

They segment the violations into meaningful and malicious types, and give the teams an option to take an unobtrusive approach towards AI governance in the company.

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Learn More

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^{🌐 Visit compliantllm.com to learn more.}

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^{🤝 If you’re worried about data exfiltration risks at your organization, reach out to the founders here. They would love to learn more!}

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^{⭐ Give CompliantLLM a star on Github.}

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^{👣 Follow CompliantLLM on LinkedIn & X.}

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