Deep Instinct (AI Cybersecurity) Dossier

Operating as a specialized Endpoint Protection Platform vendor in the cybersecurity sector, Deep Instinct (AI Cybersecurity) generated an estimated annual revenue of .7 million. Deep Instinct (AI Cybersecurity) reaches its enterprise target market primarily through subscription-based software licensing for its prevention platform alongside integrated OEM partnerships. The primary revenue driver centers on a volume-based pricing strategy that scales based on the number of endpoints deployed, distributed through the Stratosphere Partner Program via direct sales, Value Added Resellers, Global Alliances, and Managed Security Service Providers that receive tiered incentives.

Financial Highlights

* Estimated Annual Revenue: .7 million

* Customer Base: Greater than 3,300 end customers globally across multiple sectors

* Major OEM Partnership: Reached a 6 million, five-year integration deal with HP Inc.

* Workforce Size: 168 employees

* Zero-Day Prevention Efficacy: Greater than 99%

* False-Positive Rate: Less than 0.1%

* Threat Prevention Speed: Under 20 milliseconds

* Intellectual Property: Over 150 independent patent... Sign in / Sign up to learn more about Deep Instinct

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Start your analysis with these investor-focused questions:

• How did the cost optimization measures and workforce reductions implemented by Deep Instinct in FY2025 impact Deep Instinct's annualized recurring revenue trajectory and overall margin profile amid macroeconomic pressures?
• How does Deep Instinct's transition to a large-enterprise go-to-market strategy, spearheaded by CEO Lane Bess, balance direct subscription revenue against high-volume OEM integrations such as Deep Instinct's partnership with HP?
• Given market saturation by established giants like CrowdStrike and SentinelOne, how effectively is Deep Instinct monetizing its Deep Neural Network framework as a complementary pre-execution layer rather than attempting a high-friction displacement of existing enterprise security stacks?
• What are the financial implications and projected total addressable market expansion for Deep Instinct as Deep Instinct extends its zero-day threat prevention capabilities beyond traditional endpoints into cloud environments and application security?
• Considering Deep Instinct's exceptional sub-twenty millisecond prevention speed and extremely low false-positive rates, how do institutional backers evaluate Deep Instinct's competitive moat against the rapid machine learning advancements of better-capitalized endpoint security competitors?