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Don’t Be Breached

Niche vendor of Database Cyber Security Guard, an AI/ML-based deep packet inspection tool detecting database breaches and zero-day attacks.

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35/100Emerging / Unranked

Overview

Don’t Be Breached sells Database Cyber Security Guard, a product focused narrowly on database-layer breach detection using deep packet inspection combined with AI and machine learning to spot anomalous queries indicative of data theft, ransomware staging, or zero-day exploitation against database platforms like Oracle, Microsoft SQL Server, and SAP. The company’s positioning is that perimeter and endpoint tools routinely miss attacks that manifest as unusual database activity, which is where the actual data theft occurs.

The company markets itself heavily around specific, named incidents — publishing analysis of how its product would have detected particular vendor SQL injection and breach events as they occur — as a way of demonstrating relevance to prospective buyers. It was a Black Unicorn Award nominee in 2019 and a Top 100 Winner in the cybersecurity startups category at Black Hat USA 2020, though it has not achieved the visibility of larger database activity monitoring vendors like Imperva or IBM Guardium.

As a small, privately-held niche vendor with no disclosed funding, employee count, or named enterprise customers in public sources, Don’t Be Breached’s real-world scale is difficult to independently verify. Its continued website activity through 2026 indicates the company remains operational, but buyers should expect a narrower, more specialized tool rather than a broad data-security platform.

Innovation Matrix Assessment

Innovation Velocity 3/10

Publishes reactive analysis tied to public breach events, but there is little visible evidence of independent product innovation pace.

Operational Value 5/10

Addresses a real blind spot (database-layer detection) that perimeter tools often miss, for teams that adopt it.

Market Momentum 2/10

No disclosed funding, employee count, or named customers; most recent independent recognition dates to 2019-2020.

Category Disruption 3/10

A narrow, single-purpose tool in a category (database activity monitoring) already served by larger, established vendors.

Real-World Efficacy 3/10

Detection claims are self-published against public incidents rather than validated by independent testing or named customers.

Enduring Relevance 5/10

Database-layer breach detection stays relevant as long as databases remain the ultimate target of data-theft attacks.

Why CISOs Should Care

Adds a database-layer detection control that catches anomalous query activity perimeter and endpoint tools typically miss.

What Makes It Different

Deep packet inspection with AI/ML tuned specifically to database traffic, rather than general network or endpoint monitoring.

The Matrix Verdict

35/100 — EMERGING / UNRANKED

A small, narrowly-scoped niche vendor still operating in 2026; an Emerging/Unranked player given limited independent visibility into scale or outcomes.

Editorial Note: Claims vs. Verified Findings

Breach-detection claims are self-published against public news events; no independent customer validation or funding data was found.

Sources