Snyk
Founded Year
2015Stage
Corporate Minority | AliveTotal Raised
$1.247BLast Raised
$25M | 2 yrs agoRevenue
$0000Mosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
-64 points in the past 30 days
About Snyk
Snyk focuses on developer security within the technology industry. The company offers services that help developers build secure applications and allow security teams to meet the demands of the digital world. Its services include finding and fixing vulnerabilities in code, dependencies, containers, and infrastructure as code. It was founded in 2015 and is based in Boston, Massachusetts.
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ESPs containing Snyk
The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.
The vulnerability management market helps organizations identify and prioritize vulnerabilities in their IT systems, networks, and applications. Solutions aim to reduce the risk of cyberattacks and data breaches by providing insights into potential security gaps and offering guidance on how to remediate them. Some vendors offer benefits such as increasing IT productivity, providing threat intellig…
Snyk named as Outperformer among 15 other companies, including Palo Alto Networks, Tata Consultancy Services, and New Relic.
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Research containing Snyk
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned Snyk in 7 CB Insights research briefs, most recently on Feb 20, 2024.
Expert Collections containing Snyk
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
Snyk is included in 5 Expert Collections, including Unicorns- Billion Dollar Startups.
Unicorns- Billion Dollar Startups
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AI 100
200 items
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Cybersecurity
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Tech IPO Pipeline
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Artificial Intelligence
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Snyk Patents
Snyk has filed 9 patents.
The 3 most popular patent topics include:
- software testing
- cloud computing
- computer memory
Application Date | Grant Date | Title | Related Topics | Status |
|---|---|---|---|---|
11/18/2019 | 10/29/2024 | Social networking services, Cloud applications, Information technology management, System administration, Social information processing | Grant |
Application Date | 11/18/2019 |
|---|---|
Grant Date | 10/29/2024 |
Title | |
Related Topics | Social networking services, Cloud applications, Information technology management, System administration, Social information processing |
Status | Grant |
Latest Snyk News
Feb 21, 2025
Artificial intelligence is revolutionizing the way developers write, debug, and optimize code, making software development faster, more efficient, and more accessible than ever before. But what exactly does AI-powered code generation entail, and how is it shaping the future of software engineering? In this comprehensive guide, we'll explore the impact of AI in coding, the best AI tools available today, and what the future holds for this groundbreaking technology. The Rise of AI in Software Development AI-powered code generation refers to the use of machine learning algorithms and natural language processing (NLP) to assist developers in writing, optimizing, and debugging code. AI tools can analyze existing codebases, suggest improvements, and even generate entire functions or applications based on high-level descriptions. This technology is fundamentally reshaping the software development process by automating repetitive tasks reducing errors , and accelerating development timelines Why AI-Powered Code Generation Matters Faster Development Cycles – AI reduces the time required to write and debug code. Enhanced Code Quality – AI tools suggest optimizations and improve code readability. Lower Barriers to Entry – AI-powered tools allow beginners to write complex applications with ease. Increased Productivity – Developers can focus on high-level problem-solving instead of repetitive coding tasks. How AI is Transforming Software Development 1. Automated Code Completion & Suggestions AI-driven tools like GitHub Copilot, Tabnine, and Kite use machine learning models trained on vast code repositories to provide real-time code suggestions. These tools help developers by: Predicting and completing code snippets. Suggesting best practices for cleaner, more efficient code. Reducing the need for extensive documentation lookups. 2. AI-Generated Code from Natural Language Platforms like OpenAI's Codex enable developers to describe a function in plain English, and the AI generates the corresponding code in multiple programming languages. This bridges the gap between technical and non-technical users, making software development more inclusive. 3. AI-Driven Bug Detection & Debugging AI-based debugging tools can analyze code in real-time, detect anomalies, and suggest fixes before errors cause serious issues. Examples include: DeepCode – Uses AI to analyze code for potential bugs and security vulnerabilities. Snyk – Identifies security vulnerabilities and suggests remediation strategies. SonarQube – Automates static code analysis to maintain code quality. 4. AI for Test Automation AI is streamlining software testing by automatically generating test cases , analyzing logs, and predicting potential failures. Tools like Testim.io and Functionize leverage AI to: Reduce manual test writing. Detect flaky tests and improve test reliability. Accelerate the software release cycle by automating regression testing. 5. AI in Low-Code and No-Code Development AI-powered low-code and no-code platforms are democratizing software development , enabling individuals with minimal programming experience to build applications. Popular platforms include: Bubble – Allows users to build web applications without coding. OutSystems – Uses AI to speed up enterprise-grade application development. Microsoft Power Apps – Enables businesses to automate workflows with minimal coding effort. The Best AI Tools for Code Generation 1. GitHub Copilot Developed by OpenAI and GitHub. Uses AI to suggest code snippets in real-time. Supports multiple programming languages. 2. Tabnine AI-powered autocomplete tool. Learns from your coding patterns and improves over time. 3. OpenAI Codex Powers GitHub Copilot. Generates code from natural language input. 4. Kite AI-powered Python code assistant. Provides intelligent code completions and documentation lookup. 5. DeepCode AI-driven static code analysis. Helps developers write cleaner, more secure code. Challenges and Limitations of AI in Software Development While AI-powered code generation offers numerous benefits, it also comes with challenges: Lack of Creativity – AI-generated code is based on existing patterns, limiting innovation. Security Concerns – AI tools can inadvertently introduce security vulnerabilities. Dependence on Large Datasets – AI models require vast datasets for training, which may not always be up-to-date or diverse. Quality Control – Developers must review AI-generated code to ensure it meets quality standards. The Future of AI-Powered Code Generation AI in software development is still in its early stages, but its potential is immense. Future advancements may include: AI-Generated Full Applications – Automating entire software projects from concept to deployment. Enhanced AI Collaboration – Seamless integration of AI with development workflows. AI-Assisted Pair Programming – Real-time AI collaboration that mimics human pair programming. Ethical AI Coding Practices – Ensuring AI-generated code adheres to ethical guidelines and best practices. Conclusion AI-powered code generation is transforming the way software is built, making development faster, more efficient, and more accessible. While AI tools are not a replacement for human developers, they serve as powerful assistants that streamline coding, debugging, and testing processes. As AI technology continues to evolve, it will further revolutionize software engineering, enabling developers to focus on creativity and problem-solving rather than repetitive coding tasks. The future of AI in software development is promising, and those who embrace AI-powered tools will have a competitive edge in the industry. Whether you're a seasoned developer or a newcomer to coding, now is the time to explore and integrate AI into your development workflow. Related Articles
Snyk Frequently Asked Questions (FAQ)
When was Snyk founded?
Snyk was founded in 2015.
Where is Snyk's headquarters?
Snyk's headquarters is located at 100 Summer St, Boston.
What is Snyk's latest funding round?
Snyk's latest funding round is Corporate Minority.
How much did Snyk raise?
Snyk raised a total of $1.247B.
Who are the investors of Snyk?
Investors of Snyk include ServiceNow, BOLDstart Ventures, Tiger Global Management, Sands Capital, G Squared and 29 more.
Who are Snyk's competitors?
Competitors of Snyk include Tidelift, Symbiotic Security, Socket, Vidoc Security Lab, GitGuardian and 7 more.
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Compare Snyk to Competitors
Checkmarx provides a platform for securing application development from code to cloud across various sectors. The company's offerings include static application security testing (SAST), dynamic application security testing (DAST), software composition analysis (SCA), and tools for API security, container security, infrastructure as code security, and malicious package protection. Checkmarx serves a range of industries, with an aim to integrate security within the software development lifecycle. It was founded in 2006 and is based in Paramus, New Jersey.
Veracode provides Application Risk Management and security solutions for the software development lifecycle. The company offers products including static and dynamic analysis, software composition analysis, container security, and application security posture management. Veracode serves sectors such as public sector, financial services, software & technology, retail & ecommerce, and healthcare. Veracode was formerly known as Veracode Securities Corporation. It was founded in 2006 and is based in Burlington, Massachusetts.
Mend.io focuses on application security. It provides tools to manage application risk across various domains. Its main offerings include automated dependency updates, open source security management, proprietary code security, and risk analysis for AI models. Mend.io serves sectors that require application security measures, such as software development and IT security. Mend was formerly known as WhiteSource. It was founded in 2011 and is based in Givatayim, Israel.
Bright Security specializes in dynamic application security testing (DAST) and API security within the cybersecurity industry. The company offers solutions that integrate with continuous integration and delivery (CI/CD) pipelines to identify and manage vulnerabilities in web applications and APIs, catering to the needs of developers and security teams. Bright Security's services are designed to validate business logic, provide extensive vulnerability coverage, and offer clear remediation guidelines with a focus on low false positives. Bright Security was formerly known as NEURALEGION LTD. It was founded in 2018 and is based in San Rafael, California.
Sonatype operates in software supply chain management and security within the technology sector. The company provides products that automate the software development lifecycle (SDLC), including tools for managing open-source components and ensuring compliance with security and legal standards. Sonatype serves sectors such as government, financial services, manufacturing, technology, and healthcare. It was founded in 2008 and is based in Fulton, Maryland.
Snyk is a company that focuses on developer security in the technology sector. The company offers services that help developers find, prioritize, and fix security vulnerabilities in their code, dependencies, containers, and infrastructure. These services are primarily used in the software development industry. It was founded in 2015 and is based in Berkshire, England.
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