Let machines do what they do best
MIND™ AI is revolutionizing data security. It puts your data loss prevention (DLP) and Insider Threat programs on autopilot by being your AI data security analyst to autonomously monitor billions of data events 24x7 in real-time, dramatically reduce false positives and noisy alerts, and effectively streamline headcount needed.
Humans, frankly, are limited
The visibility of unstructured sensitive data is often obscured across the enterprise due to the multitude of SaaS apps, on-premise file shares, endpoints and email systems. Unfortunately, conventional data security point products were typically deployed to address each of these areas over time individually, leading to silos.
Data tagging by users and legacy RegEx pattern matching aren’t nearly good enough by governance tools and legacy DLP products, resulting in an incomplete picture of your sensitive data and way too many false positives. Think beyond simple sensitive data types such as credit cards and social security numbers.
Reveal blindspots like never before
Only MIND AI can uniquely categorize sensitive file types (think agreements, configuration files, scripts, board minutes, medical records, bank statements, contracts, tax forms, payroll reports and so much more) and classify specific sensitive records within those files (think PCI, PII, PHI, credit card numbers, social security numbers, cloud keys, credentials, etc.).
This level of insight and classification is unmatched to help you mind what really matters when it comes to your sensitive data.
Our multi-layer AI classification engine
Our state-of-the-art AI classification engine finds your sensitive data that matters and reduces false positives by employing hundreds of tailored algorithms and models. We use a layered approach for precision beyond any other data solution:
- Our engine starts with exact data matching (EDM), regular expression (RegEx) pattern matching, fine-tuned named entity recognition (NER) and optical character recognition (OCR).
- It verifies the classified data using proprietary statistical tests against known data providers.
- Enrichment next occurs with online validation, external databases, user information and human resources (HR) data.
- MIND uses large language models (LLMs) to categorize novel sensitive data types like never before - beyond just credit card and social security numbers.
- Finally, it extracts category-specific entities in your resources, such as an account name in a bank statement.
Gain context-awareness and risk analysis like a pro
After discovering and classifying your sensitive, unstructured data to develop a complete data catalog of resources, users, authorization, file activities and metadata, MIND AI then determines your unique organizational context and business meaning behind the data.
This information-rich context is used to assess risk severity around your sensitive data. We developed a unique language for describing the risk of user-data interactions, leveraging rich context around users and data to generate a set of rules to detect issues.
Speak our risk language
MIND AI's risk language provides higher expressive power than content-only RegEx/AND/OR language used with conventional DLP tools.
- It starts with data context such as origin, name, MIME type, size, ownership and contributions history, authorization, effective permissions and more.
- MIND tracks user activities and actions taken on your resources in real-time.
- User context is incorporated including name, job title, department, group membership and more.
All of this context is then translated into essential DLP policy categories tailor-made to your organization’s unique data.
Mitigate data risks with automated and insightful action
When an issue is detected, MIND AI acts as a data security analyst with a human in the loop to automatically mitigate risks based on your organization’s policies. MIND AI can also recommend new, impactful policies to protect sensitive data that your team never thought of.
Its remediation skills include the ability to label, delete, quarantine, redact, revert sharing, remove public access and more. A unique skill is our MIND AI chatbot that autonomously collaborates with users and data owners through communication tools such as Slack, Microsoft Teams and Google Chat to quickly respond to issues. Your security team has the option to automate these skills, or inspect the issues and approve recommended remediation actions.
On endpoints, MIND AI gives your security team a progressive set of automatic prevention and remediation options when an issue is detected from block activity to deliver a speed bump and coach users, monitor, and allow. To prevent loss of performance and optimize for low resources and speed on endpoints, MIND AI leverages small language models (SLMs) to deliver a lightweight classification engine.
“MIND has been able to help us surface classifications based on their AI model and help us push classifications back onto the document. So for us it's been a way to automate our DLP program.”
Julie Chickillo
VP of Information Security, Guild
“It's using artificial intelligence to do a lot of that tuning work and adding the context that's needed to eliminate false positives for us. It's essentially kind of a DLP lifecycle on autopilot.”
Bradley Schaufenbuel
VP & Chief Information Security Officer, Paychex
