Snyk

AI-native application security platform that finds and auto-fixes vulnerabilities in code, open-source dependencies, containers, and infrastructure as code, with DeepCode AI powering its analysis engine. Valued at $7.4B in late 2022; launched AI Security Fabric for securing AI-generated code; DeepCode AI provides fix suggestions; IPO on hold amid market conditions; used by 2,500+ enterprises.

As AI generates more code, Snyk's AI Security Fabric addresses the urgent need to secure AI-authored code at scale — 59% of teams worry about vulnerabilities introduced by AI tools.

snyk.io Security

United Statesprivate

At a glance

Total raised

$1.4B

last round series g

Headcount

1k-5k

approximate · public range

Headquarters

Boston

United States

Founded

2015

11 years active

Status

Private

Security

Latest valuation

$7.4B

Series G · 2022

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Funding history

Total raised

$1.4B

Rounds tracked

Latest stage

Series G

Latest valuation

$7.4B

Date	Stage	Amount	Valuation	Lead investors
Dec 13, 2022	Series G	$196.5M	$7.4B	Qatar Investment Authority
Sep 9, 2021	Series F	$530M	$8.5B	Sands Capital Ventures
Mar 10, 2021	Series E	$300M	$4.7B	Accel, Tiger Global Management
Sep 9, 2020	Series D	$200M	$2.6B	Coatue Management
Jan 21, 2020	Series C	$150M	$1B	Stripes
Sep 25, 2018	Series B	$22M	—	Accel
Mar 6, 2018	Series A	$7M	—	Boldstart Ventures, Canaan Partners
Jan 1, 2016	Seed	$3M	—	Boldstart Ventures

Founder backgrounds

Assaf Hefetz

Co-Founder & CTO

Co-Founder and CTO of Snyk. Prior to founding the company, served as Director of Innovation at Supercom, a digital identity company, where he led development and managed the technology side of M&A activity. Earlier in his career, worked as a security researcher and software engineer within Israeli Intelligence (Unit 8200), giving him deep firsthand experience in security vulnerabilities at scale. He studied computer science at The Open University of Israel. Hefetz is also an active angel investor and Managing Partner at Horizon Ventures. His background bridging intelligence-grade security research with product engineering shaped Snyk's developer-first approach to application security.

Danny Grander

Co-Founder & CSO

A veteran security researcher, Grander spent seven years as CTO of Gita Technologies, an Israeli defense and intelligence tooling provider, before co-founding Snyk in 2015. His deep background in offensive security and government-grade vulnerability research directly informed Snyk's developer-first, prevention-over-detection approach to application security. Grander holds an M.Sc. in Computer Science from The Open University of Israel and is an avid participant in Capture The Flag (CTF) hacking competitions — a hobby that reflects his conviction that understanding attack mechanics is the surest path to building strong defenses.

Guy Podjarny

Founder & Former CTO

Co-founded Blaze.io, a web performance startup acquired by Akamai in 2012, where he then served as CTO of the Web Experience division. Earlier in his career, he worked at Watchfire (later acquired by IBM), helping build some of the first application security products — giving him an early, firsthand view of the gap between developer workflows and security tooling. That experience directly informed Snyk’s founding thesis: security had to be embedded in the developer's existing toolchain, not bolted on after the fact. He is also an O'Reilly author, a frequent industry speaker, and has since gone on to found Tessl, a new venture reimagining software development for the AI era.

AI bull / bear

Bull case

Snyk occupies the high ground in the collision zone between two tectonic trends: the explosion of AI-generated code and the relentless rise of software supply chain attacks. Its AI Security Fabric is not a bolt-on feature — it is a structural answer to the problem that 59% of engineering teams already name as a top concern. With 2,500+ enterprise customers and a developer-first workflow embedded deep into the pipeline, Snyk benefits from a switching-cost moat that pure-play scanners cannot replicate. DeepCode AI, trained on a proprietary corpus of security-specific fixes, compounds this advantage with every new vulnerability disclosed. The $1.4 billion in total funding, anchored by the Qatar Investment Authority’s Series G lead, provides the balance sheet to weather a postponed IPO without desperation — and to keep investing in the AI-native toolchain while competitors retrench. When public markets reopen for high-growth security platforms, Snyk is among the best-positioned to list from a position of strength rather than necessity.

Bear case

Snyk’s $7.4 billion valuation was set in December 2022, near the peak of the security multiple expansion era. Since then, public comps have compressed by 50 to 70 percent, and the private market has not been kind to companies that raised at bubble-era prices without a clear line to profitability. An IPO on indefinite hold signals at least one uncomfortable truth: the numbers likely do not support that headline valuation. Meanwhile, the competitive landscape has grown lethal. Microsoft’s GitHub Advanced Security is bundled into the platform where most developers already live; Wiz has demonstrated how to land and expand in cloud security with blistering velocity; and Palo Alto Networks can cross-subsidize its Prisma offerings across a massive installed base. Snyk’s developer-first bottom-up motion, brilliant for initial adoption, creates a persistent monetization challenge when converting individual team usage into seven-figure enterprise-wide deals. The AI Security Fabric narrative is compelling, but if it amounts to little more than an LLM wrapper on existing scanners, differentiation collapses fast.

Generated by deepseek-v4-pro · May 2, 2026Refreshes quarterly · see disclosures

In the news

Watch

Leadership

Guy Podjarny

Founder & Former CTO

Assaf Hefetz

Co-Founder & CTO

Danny Grander

Co-Founder & CSO

—

Peter McKay

CEO

Danny Allan

CTO

—

Manoj Nair

CFO

—

Products

Snyk Code
Snyk Code is an AI-powered SAST (Static Application Security Testing) engine that scans proprietary source code in real time to find security vulnerabilities as developers write. Powered by DeepCode AI, it analyzes code patterns across multiple languages, provides fix suggestions, and integrates directly into IDE, SCM, and CI/CD pipelines so developers can catch and fix issues without leaving their workflow.
Snyk Open Source
Snyk Open Source is a Software Composition Analysis (SCA) tool that automatically discovers and fixes vulnerabilities in open-source dependencies. It continuously monitors dependency trees for known CVEs and license risks, provides automated fix pull requests, and prioritizes issues by exploitability. It supports major ecosystems including npm, Maven, pip, Go modules, and NuGet.
Snyk Container
Snyk Container scans container images for operating-system and application-level vulnerabilities across the entire container lifecycle. It integrates into Dockerfiles, CI/CD pipelines, and container registries, identifying base-image vulnerabilities and providing fix recommendations including minimal base image alternatives to reduce attack surface.
Snyk IaC
Snyk Infrastructure as Code (IaC) secures cloud infrastructure configurations before and after deployment. It scans Terraform, CloudFormation, Kubernetes, Helm, and ARM templates for misconfigurations directly in IDE, SCM, CLI, and CI/CD workflows, helping developers fix issues before they reach production and detect drift in deployed cloud environments.

Most recent patents

Snyk Sweden AB·2025-04-22
Software Composition Analysis On Target Source Code
US12282766
Abstract
Software Composition Analysis On Target Source Code
US12282766
Abstract Embodiments perform software composition analysis of target source code. A first exploration process searches first software archives for first occurrences of the target source code among source code files, and for every found first occurrence of the target source code, collects a first set of information about matching source code files or snippets therein. A second exploration process searches second software archives (different from the first plurality of archives) for second occurrences of the target source code among source code snippets, and for every found second occurrence of the target source code, collects a second set of information about matching source code snippets. Each matching source code snippet among the matching source code snippets as collected in the second set of information is mapped to the matching source code files or snippets therein as collected in the first set of information. A software composition is determined based on the mapping.
View on Google Patents
Snyk Limited·2024-10-29
Flexible Credential Supported Software Service Provisioning
US12130904
Abstract
Flexible Credential Supported Software Service Provisioning
US12130904
Abstract Provisioning of resources to service consumers using flexible credentials scoped to enable the permissible uses of the resources. The credentials are not tied to a specific user, and can be shared among users, e.g., the credentials can be transferred, moved, pointed, or allocated to users collaborating on a particular project.
View on Google Patents
Snyk Limited·2024-07-23
Systems And Processes For Multi-Directional Connection Of Directed Acyclic Graphs Between Dashboarding Tools And External Data Tools
US12045919
Abstract
Systems And Processes For Multi-Directional Connection Of Directed Acyclic Graphs Between Dashboarding Tools And External Data Tools
US12045919
Abstract Systems and processes are provided for dashboarding tools with multi-directional connection of directed acyclic graphs. The systems and processes presented comprise hardware architecture, computer-implemented processes, and instructions configured to carry out the processes for dashboarding tools with multi-directional connection of directed acyclic graphs, wherein the multi-directional connection is between dashboarding tools and external data tools. A user may use the systems and processes to create, view, and share data analytics with other users, drawing upon multiple external and internal directed acyclic graphs or other data models or external data sources with data lineage preserved. The present disclosure solves problems with the currently available systems and processes of data analytics, DAGs, data models, and visualization of data analytics.
View on Google Patents

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Snyk

At a glance

Subscribe to see the full profile

Funding history

Founder backgrounds

Assaf Hefetz

Danny Grander

Guy Podjarny

AI bull / bear

In the news

The AntV Supply Chain Campaign Expands: Microsoft's `durabletask` PyPI Package Compromised

Mini Shai-Hulud Hits AntV: 300+ Malicious npm Packages Published via Compromised Maintainer Account

Malicious node-ipc versions published to npm in suspected maintainer account compromise

TanStack Npm Packages Compromised Inside The Mini Shai Hulud Supply Chain Attack

lightning PyPI Compromise: A Bun-Based Credential Stealer in Python

"A Mini Shai-Hulud Has Appeared": Bun-Based Stealer Hits SAP @cap-js and mbt npm Packages

Watch

Leadership

Products

Snyk Code

Snyk Open Source

Snyk Container

Snyk IaC

Most recent patents

Software Composition Analysis On Target Source Code

Software Composition Analysis On Target Source Code

Flexible Credential Supported Software Service Provisioning

Flexible Credential Supported Software Service Provisioning

Systems And Processes For Multi-Directional Connection Of Directed Acyclic Graphs Between Dashboarding Tools And External Data Tools

Systems And Processes For Multi-Directional Connection Of Directed Acyclic Graphs Between Dashboarding Tools And External Data Tools

Open roles