MIND™, the upcoming leader in data loss prevention (DLP), has officially announced the general availability of the first autonomous DLP platform, which is designed to help organizations safely use GenAI, strengthen compliance, and finally make DLP a vital part of their cybersecurity strategy.
According to certain platform, MIND arrives on the scene bearing an ability to achieve optimal data protection, and at the same time, cover every IT environment so to reduce manual work and mitigate sensitive data leaks before they happen.
“DLP has been a compliance checkbox for far too long. Security teams need a tool that actually protects sensitive data, not just proves compliance,” said Eran Barak, Co-Founder & CEO, MIND. “With the explosion of unstructured, highly sensitive data and the use of GenAI in our everyday work, only putting DLP on autopilot at machine speed can keep up. That’s why we built MIND – to give security teams control, clarity and real protection for stress-free DLP.”
Talk about the whole value proposition on a slightly deeper, we begin from the promise of industry-leading data discovery. This translates to how the solution conducts automated and continuous inventory of sensitive data at rest, along with user/agentic AI/non-human activities to remove data security blind spots.
Next up, we have autonomous, AI-powered classification coming into play. You see, the stated platform has shown itself to be, during the initial deployment, 91% more accurate than legacy DLP tools. The said conclusion was reached upon after it successfully eliminated alert fatigue and false positives with MIND AI which, on its part, happens to be a multi-layer classification engine.
For better understanding, the stated engine can very well transcend RegEx pattern matching and uniquely categorize sensitive file types like never before.
“MIND is the best DLP tool I’ve seen…by a lot,” said Alessio Faiella, Director of Security Engineering & Security Operations, ThoughtSpot. “They could never add another feature and they’d still be the best.”
Another detail worth a mention is rooted in the availability of business-aligned policies. Users can come expecting, in essence, access of simple intuitive policy creation with out-of-the-box templates to achieve faster time-to-value.
Then, there is the prospect of effortless remediation, something which stems from automated responses, guided workflows, and integration with current remediation platforms to reduce data security risks and exposure.
Hold on, we still have a few bits left to unpack, considering we haven’t yet touched upon a facility committed to securing data at rest, as well as protecting data in motion MIND actively prevents leaks wherever data lives or moves across IT environments, including GenAI, SaaS, endpoints, emails. and on-premise file shares. By doing so, it eliminates blind sports birthed by legacy DLP silos.
Almost like an extension of it, the underlying technology also comes decked up with user-centric prevention mechanisms, mechanisms that include real-time, context-aware controls to help users follow security policy, instead of just blocking them, thus dramatically reducing the user friction caused by traditional DLP tools.
Rounding up highlights would be the prospect of rapid time-to-value. Boasting a simple deployment process, the MIND platform is able to bring real security value across organizations in a matter of few days, not months.
To understand the significance of such a development, we must take into account one research conducted by MIND and TechTarget’s Enterprise Strategy Group (ESG), a leading IT analyst, research and strategy firm. The said research basically discovered that security teams of today are in a constant struggle against manual, false positives, and operational complexity.
As a result of, 73% of sensitive data remains exposed, with 92% of DLP alerts emerging as false positives and not addressed in 24 hours or never remediated at all. The research also revealed how 78% of organizations find DLP administration challenging, whereas on the other hand, no more than 27% of sensitive data was found to be properly discovered and classified.
“With MIND, we are automating the key needs to protect your company’s sensitive data so you can avoid the damage that comes from data loss events. Our north star is to help put DLP programs on autopilot with our platform through simplification and automation,” said Itai Schwartz, Co-Founder and CTO, MIND.
, the upcoming leader in data loss prevention (DLP), has officially announced the general availability of the first autonomous DLP platform, which is designed to help organizations safely use GenAI, strengthen compliance, and finally make DLP a vital part of their cybersecurity strategy.
According to certain platform, MIND arrives on the scene bearing an ability to achieve optimal data protection, and at the same time, cover every IT environment so to reduce manual work and mitigate sensitive data leaks before they happen.
“DLP has been a compliance checkbox for far too long. Security teams need a tool that actually protects sensitive data, not just proves compliance,” said Eran Barak, Co-Founder & CEO, MIND. “With the explosion of unstructured, highly sensitive data and the use of GenAI in our everyday work, only putting DLP on autopilot at machine speed can keep up. That’s why we built MIND – to give security teams control, clarity and real protection for stress-free DLP.”
Talk about the whole value proposition on a slightly deeper, we begin from the promise of industry-leading data discovery. This translates to how the solution conducts automated and continuous inventory of sensitive data at rest, along with user/agentic AI/non-human activities to remove data security blind spots.
Next up, we have autonomous, AI-powered classification coming into play. You see, the stated platform has shown itself to be, during the initial deployment, 91% more accurate than legacy DLP tools. The said conclusion was reached upon after it successfully eliminated alert fatigue and false positives with MIND AI which, on its part, happens to be a multi-layer classification engine.
For better understanding, the stated engine can very well transcend RegEx pattern matching and uniquely categorize sensitive file types like never before.
“MIND is the best DLP tool I’ve seen…by a lot,” said Alessio Faiella, Director of Security Engineering & Security Operations, ThoughtSpot. “They could never add another feature and they’d still be the best.”
Another detail worth a mention is rooted in the availability of business-aligned policies. Users can come expecting, in essence, access of simple intuitive policy creation with out-of-the-box templates to achieve faster time-to-value.
Then, there is the prospect of effortless remediation, something which stems from automated responses, guided workflows, and integration with current remediation platforms to reduce data security risks and exposure.
Hold on, we still have a few bits left to unpack, considering we haven’t yet touched upon a facility committed to securing data at rest, as well as protecting data in motion MIND actively prevents leaks wherever data lives or moves across IT environments, including GenAI, SaaS, endpoints, emails. and on-premise file shares. By doing so, it eliminates blind sports birthed by legacy DLP silos.
Almost like an extension of it, the underlying technology also comes decked up with user-centric prevention mechanisms, mechanisms that include real-time, context-aware controls to help users follow security policy, instead of just blocking them, thus dramatically reducing the user friction caused by traditional DLP tools.
Rounding up highlights would be the prospect of rapid time-to-value. Boasting a simple deployment process, the MIND platform is able to bring real security value across organizations in a matter of few days, not months.
To understand the significance of such a development, we must take into account one research conducted by MIND and TechTarget’s Enterprise Strategy Group (ESG), a leading IT analyst, research and strategy firm. The said research basically discovered that security teams of today are in a constant struggle against manual, false positives, and operational complexity.
As a result of, 73% of sensitive data remains exposed, with 92% of DLP alerts emerging as false positives and not addressed in 24 hours or never remediated at all. The research also revealed how 78% of organizations find DLP administration challenging, whereas on the other hand, no more than 27% of sensitive data was found to be properly discovered and classified.
“With MIND, we are automating the key needs to protect your company’s sensitive data so you can avoid the damage that comes from data loss events. Our north star is to help put DLP programs on autopilot with our platform through simplification and automation,” said Itai Schwartz, Co-Founder and CTO, MIND.