What Deep Instinct does

Deep Instinct is a New York-headquartered cybersecurity company founded in 2015 that applies deep learning to preemptive threat prevention for enterprise customers. Its core Deep Instinct Platform uses proprietary deep learning models to analyze files, executables, and data structures in real time and block zero-day attacks, ransomware, and malware before execution, rather than relying on signature-based reactive detection. The company has extended this capability into a specialized DSX (Deep Learning Security Exchange) for Cloud Protection module, which currently supports zero-day prevention for Amazon S3 and Amazon FSx NetApp storage environments, addressing an emerging gap that legacy security tools have against AI-generated malware.

The company sells to large enterprise organizations across North America, Europe, and APAC on a subscription / recurring revenue basis, with go-to-market executed through direct enterprise field sales supplemented by AWS marketplace and NetApp technology integrations. Named go-to-market leadership includes a Chief Revenue Officer, VP Sales for EMEA, Area VP for Americas Channels, AVP for Global MSSP Programs, and Director of Global Distribution, indicating a deliberate multi-region, channel-augmented commercial motion. Strategic corporate investors include PayPal Ventures (March 2023), NVIDIA, and HP Tech Ventures, and the broader investor base spans BlackRock, Coatue, Chrysalis Investments, Millennium, Tudor Group, and Unbound.

Deep Instinct has raised approximately $321 million+ across nine disclosed rounds from 2015 through March 2023, with the largest being a $100 million BlackRock-led round in April 2021. Headcount is in the 101–250 range. The company is private and operates as an independent entity with no parent company or public listing. Most recent disclosed activity consists of product-line expansion into AWS cloud-storage environments and thought-leadership research (Voice of SecOps 2024 study conducted with Sapio Research) rather than additional disclosed funding rounds or M&A.

Name

Deep Instinct

Legal name

Deep Instinct

Website

https://deepinstinct.com

Company type

Private

Founded year

2015

Operating status

Operating

Headcount range

101–250 employees

Short description

Deep Instinct applies deep learning to preemptive cybersecurity threat prevention, blocking zero-day attacks, ransomware, and AI-generated malware for enterprise customers across endpoints and cloud storage. It sells subscription-based protection across North America, Europe, and APAC.

Ownership category

akta.pro rank

Product category

Cybersecurity Software

NAICS

Software Publishers (5132)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

Security Analytics & Detection Engineering (HDADAGAE)

akta.pro secondary industries

Endpoint Deception & Anti-Ransomware (HDADAEAL), Threat Intelligence Services (BPAEADAC)

Keywords

• Deep learning cybersecurity
• Threat prevention platform
• Endpoint security software
• Zero-day attack prevention
• AI malware detection

Headquarters

HQ city

New York

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Marketing or Sales, Operations

Revenue model

1. Enterprise Security Software Subscription: Deep Instinct provides cybersecurity threat prevention solutions to enterprise customers on a subscription basis, protecting endpoints and cloud environments across North America, Europe, and APAC regions.

Go-to-market motion1 record

Distribution channels1 record

Marketing channels3 records

Core offering

Deep Instinct provides a deep learning-based cybersecurity platform that delivers preemptive threat prevention by analyzing files and data in real-time to detect and block zero-day attacks, ransomware, and malware before execution. The platform covers endpoints, data centers, and cloud storage environments (Amazon S3 and Amazon FSx NetApp) through its core Deep Instinct Platform and the DSX for Cloud Protection module.

Product overview

Deep Instinct offers a unified deep learning-based cybersecurity platform for preemptive threat prevention. The core Deep Instinct Platform uses proprietary deep learning models to detect and block zero-day attacks, ransomware, and malware across endpoints, data centers, and cloud environments. The DSX (Deep Learning Security Exchange) for Cloud Protection is a specialized module that extends this capability to cloud storage infrastructure, currently supporting Amazon S3 and Amazon FSx NetApp. The product architecture follows a platform-plus-modules model where the core prevention engine serves as the foundation, with cloud-specific protection added as an integrated module.

Differentiator

Problem solved

Functional benefit

Brands

• DSX (Deep Learning Security Exchange): Deep learning-based preemptive data security platform

Products and services

• Deep Instinct Platform
• DSX for Cloud Protection
• Zero-Day Security Solution for Amazon S3

Quantifiable outcome

• Legacy security tools have a high miss rate in detecting AI-generated malware
• +3 more outcomes

Named customers1 record

Segments1 record

Ideal customer profiles1 record

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration2 records

AI capability3 records

Feature5 records

Partnerships

Three partnerships are on record, tiered core and minor.

• Amazon FSx NetAppcoreTechnology or Integration · 24 January 2025Deep Instinct expanded its DSX for Cloud Protection to Amazon FSx NetApp, enabling real-time prevention of zero-day attacks for NetApp file storage environments. The partnership addresses cloud data security for enterprise customers.
• Amazon Web Services (AWS)coreTechnology or Integration · 25 November 2024Deep Instinct unveiled a zero-day security solution for Amazon S3 on AWS, extending its DSX for Cloud Protection to AWS environments. This integration provides enterprise customers with advanced threat prevention for cloud storage workloads.
• Sapio ResearchminorStrategic or Co-development PartnerDeep Instinct partnered with Sapio Research to conduct the Voice of SecOps 2024 study, surveying 500 senior cybersecurity professionals at U.S. companies with at least 1,000 employees to understand AI-powered cyber threat trends.

Scale indicators2 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• CrowdStrike: CrowdStrike is the leading AI-native endpoint security platform with the Falcon product line. It competes directly with Deep Instinct in enterprise endpoint threat prevention and detection, and increasingly in adjacent areas such as cloud workload protection and identity threat detection.
• SentinelOne: SentinelOne provides an AI-driven endpoint security platform (Singularity) that uses machine learning models for autonomous prevention, detection, and response. It is one of the closest direct competitors to Deep Instinct, particularly around AI/ML-based malware prevention for enterprises.
• Darktrace: Darktrace applies unsupervised machine learning to detect and respond to cyber threats across endpoints, network, cloud, and email. Its AI-first positioning and broad enterprise footprint make it one of the most comparable pure-play AI cybersecurity peers to Deep Instinct.
• Cylance (BlackBerry): Cylance, now part of BlackBerry, pioneered AI/ML-based endpoint threat prevention using machine learning models rather than signatures. It shares Deep Instinct's preemptive prevention philosophy and is a direct competitor in the AI endpoint security category.
• Cybereason: Cybereason offers an AI-driven endpoint detection and response (EDR) platform with behavioral analysis to stop advanced threats. It is a direct competitor to Deep Instinct in enterprise endpoint security, with comparable target customers and an AI-led approach to threat prevention.

Broad incumbents

• Microsoft Defender for Endpoint: Microsoft Defender for Endpoint is a broad-incumbent endpoint security product embedded in the Microsoft 365 ecosystem. It competes with Deep Instinct for enterprise endpoint prevention budget and has rapidly integrated AI/ML detection, benefiting from Microsoft's scale and bundled distribution.
• Palo Alto Networks (Cortex): Palo Alto Networks offers a broad cybersecurity portfolio including Cortex XDR for endpoint and cloud workload protection. It is a broad incumbent that competes with Deep Instinct across enterprise endpoint and cloud security segments.
• Sophos: Sophos (now part of Thoma Bravo / merged with Secureworks) provides endpoint protection, EDR, and managed detection services for enterprises and mid-market. It is a broad incumbent that overlaps with Deep Instinct in next-generation endpoint prevention.

Emerging players

• Vectra AI: Vectra AI applies AI/ML to network detection and response (NDR) for threat hunting. While focused on network rather than endpoint, it shares Deep Instinct's AI-native approach to advanced threat prevention and is an emerging competitor in the broader AI cybersecurity category.
• Tanium: Tanium offers an autonomous endpoint management and security platform with real-time visibility, threat hunting, and prevention capabilities. It targets large enterprises in a similar buyer segment as Deep Instinct and competes in endpoint threat prevention.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/deepinstinctsec
• Facebookfacebook.com/DeepInstinctInc
• LinkedInlinkedin.com/company/deep-instinct

Revenue estimate

Valuation estimate

Number of profiles

Profiles11 records

Funding overview

Funding rounds9 records

Investors20 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Deep Instinct