Mind what matters

MIND™ is the first-ever data security platform that puts data loss prevention (DLP) and insider risk management (IRM) programs on autopilot, so you can automatically identify, detect and prevent data leaks at machine speed.

MIND was selected as a Top 10 Finalist for RSAC™ 2025 Conference 20th Annual Innovation Sandbox Contest.

Trusted by:

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Guild logo
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Gravity payments logo
Open Web logo
Lionbridge logo
Hyperscience logo
Lyten logo
Akamai logo
Guild logo
IDT Corporation logo
Gravity payments logo
Open Web logo
Lionbridge logo
Hyperscience logo
Lyten logo
Akamai logo
Guild logo
IDT Corporation logo
Gravity payments logo
Open Web logo
Lionbridge logo
Hyperscience logo
Lyten logo
Akamai logo
Guild logo
IDT Corporation logo
Gravity payments logo
Open Web logo
Lionbridge logo
Hyperscience logo
Lyten logo

See MIND in action

Find sensitive data, fix data risks and stop data leaks

State of modern business

85%

of organizations suffered at least one data loss event in the past year

90%

of all new enterprise data is unstructured data, growing 3x the pace of structured data

$4.88M

Average cost of a data breach

Rocky road of protecting unstructured data

Diverse data sources (SaaS, Gen AI, endpoints, on-premises, emails)

Lack of context (who, what, when, where, why)

Hard to gauge risks of data, users and activities

Disparate classification engines and limitations

Static policies needing constant tuning

Overwhelming manual remediation work

Gain peace of MIND

MIND melds data security products in one solution

From the minds of cyber thought leaders

Read our Mind

De-risk the breach

Addressing the hard questions

Veza, the Identity Security company, has cracked the code on cybersecurity’s hardest question: “Who can take what action on what data?

John Smith

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DLP programs are manual, static and complex

Data loss prevention (DLP) programs, and the conventional tools used to support them, typically require a lot of headcount, budget and effort to effectively manage and continuously update. They can create business friction, negatively impacting user productivity due to static rules and lack of context awareness.

The complexities of stopping unstructured data leaks continue to plague DLP programs due to:

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