MIND Security has raised $72 million to expand data-loss prevention as companies adopt AI and autonomous agents. Crosspoint Capital Partners led the September 17 Series B, joined by YL Ventures and Paladin Capital Group.
Consequently, this investment brings total funding to $112 million. With this, MIND Security plans to strengthen its platform. It will expand in enterprise markets, deepen partnerships and grow its team across enterprise segments.
MIND Security Targets Data Loss Across AI Workflows
Over the past year, the company reported more than 17-fold revenue growth and eightfold customer growth. MIND Security’s platform discovers and classifies sensitive information, identifies risky activity and helps prevent unauthorized transfers. It covers email, endpoints, software-as-a-service applications and generative AI environments.
By combining data visibility with real-time intervention, the platform aims to address weaknesses in older data-loss prevention systems. Traditional tools often rely on fixed rules and manual reviews. That approach becomes harder to sustain when employees share information through AI prompts or agents act across connected applications.
Moreover, AI agents can retrieve files, query databases and trigger application programming interface calls. As a result, sensitive information can move quickly between systems, sometimes beyond the controls designed for human-led work.
AI Adoption Expands the Data Security Challenge
The growing use of AI has made oversight harder for security teams. An August report found that 79% of technology leaders saw security, governance or operations as major AI scaling challenges.
Furthermore, a separate analysis found that 47.11% of enterprise AI conversations used personal identities rather than company-managed accounts. Those conversations can leave employers with limited visibility into what staff share with external AI services.
In addition, MIND Security reported that 65% of enterprises lacked confidence in their AI data-security controls. The company also said 90% had deployed generative AI and more than two-thirds used AI agents.
Even so, they illustrate the gap between AI adoption and confidence in protecting business information. Together, these shifts make visibility across both human and automated data access more important.
Funding Raises Expectations for Practical Protection
Consequently, this new investment gives the company resources to pursue businesses seeking stronger control over sensitive data. In addition, it reflects investor interest in security tools designed for changing data workflows.
However, funding alone will not guarantee lasting success. The platform must detect genuine risks, limit false alarms and avoid disrupting legitimate work. Also, companies will need identity controls, carefully managed permissions and oversight for autonomous agents. Data-loss prevention can help stop risky transfers, but it cannot replace those safeguards.
Ultimately, the next test is turning reported growth into sustained customer adoption. Enterprise buyers will expect reliable protection across complex systems without adding unnecessary work for security teams. As AI agents gain access to more business applications, organizations will need clearer oversight of how sensitive information moves. The platform’s ability to deliver effective controls at scale will determine its competitiveness.
