MIND today announced new innovations to endpoint data protection. These AI-native DLP capabilities redefine how enterprises prevent data loss, on every user device, across every environment, with unmatched content- and context-awareness. As GenAI usage continues to expand, it’s every organization’s imperative to stop data leaks on endpoints without disrupting productivity and innovation.

As the most immediate and active touchpoint for sensitive data, the endpoint plays a pivotal role in the data security lifecycle. Endpoint DLP has historically been one of the most challenging areas of data protection, prone to noise, complexity, blind spots and user friction. But it’s also where some of the most critical risks originate. From accidental file uploads to intentional data exfiltration, the endpoint is where sensitive data is most often handled, manipulated and moved. MIND addresses these risks head-on with a platform that detects risk in real time and responds automatically with dynamic, policy-based remediation and prevention. MIND gives security teams a more accurate, proactive way to stop data leaks before they happen.
MIND’s new endpoint innovations deliver enhanced controls to its award-winning platform, one built for the future of data protection in the AI era, where visibility, context and automation are seamlessly connected. Built on MIND’s unified platform that spans discovery, classification, detection, remediation, policy management and prevention, this expansion brings the same level of simplicity and automation to the protection of endpoints and the data they process. With this announcement, MIND becomes the first in the industry to combine built-in advanced AI data classification, risk remediation and now modern enterprise endpoint protection.
Endpoint data protection and more, upgraded
MIND is transforming endpoint DLP into a less stressful part of the data security lifecycle. Legacy tools have long been complex, noisy and disconnected, yet the endpoint remains one of the most critical control points in modern data security. It’s where AI tools interact with sensitive data and where it is most vulnerable. This expanded approach replaces friction with automation, noise with intelligence and complexity with a simple, stress-free approach. These platform enhancements are designed to simplify and fortify sensitive data protection at the edge.
MIND’s Endpoint DLP elevates the experience with:
- Full Data Lineage: Track every sensitive file’s journey across users, devices, origins and destinations.
- Native App Protection: Protect data used inside locally installed applications without agent sprawl or user disruption, including GenAI apps.
- USB and Peripheral Controls: Automatically govern and stop data leaks to external devices connected to the endpoint with precision.
- Evidence Collection: When triggered by policy violations, capture screenshots, file actions, user behavior and more for investigations and audits.


Chipmind launches from stealth with $2.5m for its AI agents to speed chip making
Posted in Commentary with tags Chipmind on October 21, 2025 by itnerdToday Chipmind, the first European startup building AI agents to accelerate the development of microchips, launches Chipmind Agents, optimized to empower engineering teams in semiconductor companies to speed-up the path from specification to chip manufacturing.
Chipmind Agents are a new class of AI agents designed to automate and optimize the most complex chip design and verification tasks. Uniquely built upon each customer’s own proprietary, design-specific data, these agents seamlessly integrate into existing workflows, intelligently self-adapting to the specific design context, auto-customizing for proprietary EDA tools, and understanding the entire chip design hierarchy. Functioning as a fully aware and collaborative co-worker, Chipmind Agents enhance engineering productivity by autonomously executing complex, multi-step tasks while ensuring the human engineer always remains in full control. This holistic and purpose-built approach is designed to dramatically reduce time-to-solve cycles within any custom chip design environment, empowering teams to achieve results faster.
The evolution of chip design has created powerful, deeply embedded EDA tool flows that were not designed for interaction with modern AI agents. Recognizing that these critical systems can’t be discarded, we developed Chipmind’s agent-building technology. This foundational platform is the key to unlocking AI’s potential, as it prepares a company’s current designs and development environment for agentic automation. Instead of replacing legacy systems, our technology makes them ready for the future of chip design.
Chipmind is the first European startup focusing on AI agents for chip design and verification, its origin story is built on the strong, trusting relationship between its founders, Harald Kröll and Sandro Belfanti, who met during their PhD studies at ETH Zurich. Both have extensive experience in AI and chip design, and have developed more than 20 chips, ranging from modems for mobile phones to system-on-chip solutions.
The semiconductor industry is at a critical inflection point. As the demand for more powerful chips continues to skyrocket, the complexity of designing them has grown exponentially, pushing traditional methodologies to their limits. This is no longer a problem that can be solved by simply hiring more engineers. Concurrently, a new generation of engineers is becoming increasingly accustomed to working with AI tools and agents, creating fertile ground for a new market of intelligent, collaborative design solutions. This confluence of need and acceptance sets the stage for a new paradigm: the integration of sophisticated AI agents into the core of chip design. This human-AI collaboration is the key to managing immense complexity, unlocking engineering creativity, and ultimately enabling the next generation of technology that will define our future.
Chipmind has successfully raised $2.5M in its pre-seed round, led by Founderful with participation of prominent angel investors from the semiconductor industry. This investment allows Chipmind to expand its world-class engineering team, accelerate product development, and deepen its engagements with key industry players.
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