As enterprises accelerate the adoption of agentic AI to improve productivity, automate workflows, and enhance decision-making, securing sensitive data has become a critical priority. MIND has introduced DLP for Agentic AI, a data-centric security solution designed to help organizations safely deploy autonomous AI systems by protecting sensitive information and ensuring responsible AI interactions.
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MIND has announced DLP for Agentic AI, a new data loss prevention solution built to help organizations secure sensitive information as they expand the use of autonomous AI systems. The platform focuses on protecting enterprise data while enabling organizations to realize the business benefits of agentic AI, including faster decision-making, improved operational efficiency, and increased productivity.
According to MIND, as AI agents become capable of creating, accessing, transforming, and sharing data across cloud applications, local devices, internal systems, and third-party platforms, organizations require stronger governance to reduce security risks and maintain trust.
Rather than focusing solely on AI models or monitoring outputs after actions occur, MIND's approach places data security at the center of AI governance.
The platform is designed to ensure that sensitive information is identified, protected, and governed before AI agents gain access to it. This approach enables organizations to balance AI innovation with stronger security controls and regulatory compliance.
"Organizations aren't adopting AI for experimentation alone. They're adopting it to drive innovation and outcomes," said Eran Barak, Co-Founder and CEO at MIND. "Those only materialize when data is protected, understood and governed. MIND's DLP for Agentic AI gives security teams the controls they need to protect sensitive data used by AI agents."
The solution delivers several capabilities aimed at improving enterprise AI security while minimizing operational disruption.
Key features include:
By placing governance directly around enterprise data, MIND enables organizations to adopt agentic AI while maintaining visibility and control over sensitive information.
MIND stated that organizations are already using its platform to secure enterprise AI initiatives and generative AI deployments while strengthening data protection.
"It's crucial that we enable the business to benefit from the efficiencies that AI can offer without compromising the security of our data," said Zac Fletcher, Assistant Vice President of IT Security at Service Corporation International. "The MIND platform gives me the visibility, capabilities and confidence to do this."
The company believes this approach allows organizations to accelerate AI adoption without increasing data exposure or compliance risks.
Traditional data loss prevention solutions were developed for predictable, human-driven workflows. According to MIND, autonomous AI systems require a different security model capable of responding at AI speed while understanding the context of every interaction.
MIND's DLP for Agentic AI combines automated data security with intelligent governance, helping organizations prevent security risks before they affect business operations. As enterprises continue investing in agentic AI, the company positions data-centric protection as a critical foundation for achieving secure, scalable, and sustainable AI adoption.
MIND is on a mission to help organizations gain peace of mind and thrive in a digital world in this AI era by protecting their most sensitive data, mitigating data risks and preserving brand reputation. MIND is the first-ever data security platform to autonomously discover and classify sensitive data, fix data security issues and stop data leaks in one place, so organizations can put their data loss prevention and insider risk management programs on autopilot. We enable businesses to mind what really matters – their most sensitive data. Founded and led by cybersecurity veterans, MIND is based out of Seattle, WA.
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