Snyk

What Snyk does

Snyk is a leader in secure AI software development, empowering organizations to build fast and stay secure by unleashing developer productivity and reducing business risk. The company's AI Trust Platform seamlessly integrates into developer and security workflows to accelerate secure software delivery in the AI Era. Snyk delivers trusted, actionable insights and automated remediation, enabling modern organizations to innovate without limits. Snyk is redefining secure AI-driven software delivery for over 4,500 customers worldwide today. Snyk's AI-native and agentic platform helps organizations secure and govern development to unleash productivity, reduce business risk, and accelerate software delivery for the age of AI. Snyk is the AI Security Fabric — an invisible, intelligent layer providing continuous, autonomous defense across the entire SDLC.

Products

• Snyk AI Security PlatformAn AI-native and agentic platform that helps organizations secure and govern development to unleash productivity, reduce business risk, and accelerate software delivery for the age of AI. It acts as an AI Security Fabric, providing continuous, autonomous defense across the entire SDLC.
• Evo Agent SecurityAI-native security orchestration for securing the code AI writes, the models and agents it runs, and the applications it builds. It includes Agentic Development Security (ADS) and AI Security Posture Management (AI-SPM).
• Agentic Development Security (ADS)Governs what agents use, what they do, and what they generate by validating external tools, governing agent behavior during execution, and securing code at the moment it is created.
• AI Security Posture Management (AI-SPM)A centralized command center for AI security posture, replacing manual reviews with automated, code-first governance that turns business intent into enforceable guardrails.
• Continuous Offensive Security (COS)Proactive defense through AI-native simulation, finding architectural flaws and chained business-logic vulnerabilities with AI Pentesting and Red Teaming before attackers exploit them.
• Snyk CodeA SAST (Static Application Security Testing) solution that finds, prioritizes, and auto-fixes issues with dev-focused solutions, offering real-time code scanning and auto-fixing with pre-validated fixes.
• DeepCode AIPowers the Snyk AI Security Platform, utilizing frontier AI models fine-tuned with security-specific context to provide fast, accurate, and comprehensive AppSec testing tools. It enables 85%-accurate security autofixes and comprehensive app coverage.
• Snyk Agent FixAI-powered "one-click" fixes directly in the IDE and pull request to dramatically accelerate the fix rate and burn down security backlogs. It produces secure and functional fixes for AI-generated code.
• Snyk API & WebExtends the dev-first approach through comprehensive discovery and dynamic testing of all APIs and Web apps.
• Snyk LearnA platform for developer security education, offering interactive lessons, learning paths, and certifications to upskill developers in secure coding and AI safety.
• Snyk Open SourceProvides advanced Software Composition Analysis (SCA) backed by industry-leading security and application intelligence to find, prioritize, and fix security vulnerabilities and license issues in open source dependencies.
• Snyk ContainerDev-first container security solutions that help developers and DevOps find, prioritize, and fix vulnerabilities throughout the SDLC for containers and Kubernetes workloads.
• Snyk IaCIaC security tools for Devs and DevOps Teams to find and fix misconfigurations in infrastructure as code (Terraform, CloudFormation, Kubernetes, Helm charts, ARM templates) before they reach production.
• Snyk AppRiskProvides security teams program-level visibility into every software asset across the SDLC, ensuring nothing goes unmonitored.

Key capabilities

• AI-native and agentic platform for securing development
• Continuous, autonomous defense across the SDLC
• Agentic Development Security (ADS) for governing AI agents
• AI Security Posture Management (AI-SPM) for centralized command and automated governance
• Continuous Offensive Security (COS) for AI-native pentesting and red teaming
• Deterministic validation combining frontier models with security engines
• Cross-tool governance for various AI tools and coding agents (Claude, Cursor, Copilot, Codex, Windsurf)
• Security intelligence flywheel for novel vulnerability patterns and backporting to deterministic engines
• AI-accelerated remediation with Snyk Agent Fix for improved fix outcomes
• Foundational visibility for discovering and inventorying assets (code, dependencies, AI models)
• Prevention and AI guardrails for enforcing 'Secure at Inception' policies
• Strategic prioritization using deep application intelligence, risk scores, and reachability analysis
• Real-time code scanning and auto-fixing with Snyk Code
• Extensive coverage for languages, IDEs, CI/CD tools, and LLM libraries (OpenAI, Hugging Face)
• Revolutionary knowledge base with 25M+ data flow cases and machine learning engine
• Purpose-built AI security engine with agentic architecture and few-shot prompting
• 35,000+ real-world vulnerability database maintained by Snyk security experts
• Hybrid AI for unmatched scanning accuracy (symbolic and generative AI)
• Risk-based prioritization powered by AI, assessing popularity, reachability, and exploit maturity
• Simplified rules creation with DeepCode AI Search and autocomplete
• Open source dependency scanning and license compliance with Snyk Open Source
• Container image scanning, base image recommendations, and Kubernetes security with Snyk Container
• IaC scanning for misconfigurations in Terraform, CloudFormation, Kubernetes, Helm charts, ARM templates
• Real-time custom code scanning and dev-first fix examples in the IDE
• Dev-first integrations with IDE, CLI, and source code managers
• Policy management and role-based access control
• Unified AppSec control and strategic security oversight
• Zero-day risk prevention
• Comprehensive discovery and dynamic testing of APIs and Web apps
• Interactive security lessons and learning paths for developers (Snyk Learn)
• Snyk Vulnerability Database with hand-curated security data and enriched metadata
• Snyk Code Knowledge Base for vulnerable code patterns and suggested fixes
• Unified Policy Engine for codified rules and policies across IaC configs
• Continuous monitoring for newly discovered vulnerabilities
• Automated vulnerability fixes with one-click pull requests
• Software Bill of Materials (SBOM) generation, testing, and enrichment
• Integrated IDE, in-workflow testing, and CI/CD security gates
• Data privacy and secure connections for third-party frontier models
• Support for various container image operating systems and package managers
• Compliance mapping for SOC 2, PCI-DSS, ISO 27001 with Continuous Offensive Security
• AI-driven support portal (Snyk Assist) for Enterprise plan customers

Use cases

• Securing AI-generated code and applications
• Governing agent behavior and validating external tools in agentic development
• Managing AI security posture with automated, code-first governance
• Proactive defense against architectural flaws and business-logic vulnerabilities through AI pentesting
• Finding, prioritizing, and auto-fixing unsafe code with SAST solutions
• Securing open source dependencies and managing license compliance
• Finding and fixing vulnerabilities in container images and Kubernetes workloads
• Identifying and remediating misconfigurations in Infrastructure as Code (IaC)
• Real-time code scanning and vulnerability detection in IDEs and pull requests
• Automating vulnerability fixes and accelerating remediation time
• Continuous monitoring for newly disclosed vulnerabilities
• Enforcing 'Secure at Inception' guardrails across AI assistants, IDEs, and pipelines
• Strategic prioritization of exploitable risks based on application intelligence and risk scores
• Developer education and training on secure coding practices and AI safety
• Generating and enriching Software Bill of Materials (SBOMs)
• Integrating security into CI/CD pipelines and developer workflows
• Managing application security programs with visibility and governance
• Securing APIs and web applications
• Reducing software supply chain risk across the SDLC
• Compliance with regulatory and internal security policies through reporting and auditing
• Securing AI workforce powering modern development
• Securing code at inception inside AI Coding Agents (Claude, Cursor, Codex)
• Validating external tools before they are used by agents
• Governing agent behavior during execution
• Securing code at the moment it is created by agents
• Discovering and inventorying every asset including code, dependencies, and AI models
• Pinpointing exploitable risks using deep application intelligence, risk scores, and reachability analysis
• Empowering developers with trusted, AI-powered "one-click" fixes
• Securing open source at every step: coding, code management, CI/CD, containers, deployment, and reporting
• Managing open source risk with advanced software composition analysis
• Automating remediation for container vulnerabilities with base image recommendations
• Monitoring containers running in Kubernetes for unsafe settings
• Securing IaC in developer workflows via IDE, CLI, SCM, CI, Terraform Cloud, and Enterprise integrations
• Fixing cloud issues in IaC
• Establishing security guardrails for AI coding
• Addressing zero-day vulnerabilities proactively

AI approach

Snyk's AI Security Platform uses a mix of proprietary security engines, self-hosted models, and third-party frontier models through secure connections. It employs an agentic architecture that fuses frontier AI models with Snyk’s proprietary security intelligence to deliver fixes that are both more secure and more functional than any standalone model. DeepCode AI powers the Snyk AI Security Platform, utilizing frontier AI models fine-tuned with security-specific context curated by top security specialists. Snyk ensures data privacy while delivering AI code analyses and fixes, and uses multiple models and security-specific training sets for one purpose — to secure applications. It combines symbolic and generative AI, several machine learning methods, and the expertise of Snyk security researchers to ensure a high-level of accuracy without hallucinations. Snyk Agent Fix guides leading models in real time with relevant, human-written examples at the moment of code generation, transforming general-purpose AI into a domain security expert.

Tech named: proprietary security engines, self-hosted models, third-party frontier models, agentic architecture, DeepCode AI, symbolic AI, generative AI, machine learning, Snyk Agent Fix, few-shot prompting, LLMs, GPT-4

Industries served

• Computer and Network Security
• Software Development
• Manufacturing
• Fintech
• Government
• Education
• Health and Community Services
• Asset-Intensive Industries
• Financial Services

What it says sets it apart

• AI-native and agentic platform for securing AI-driven development
• AI Security Fabric providing continuous, autonomous defense across the SDLC
• Deterministic validation combining frontier AI models with proprietary security engines and curated intelligence
• Cross-tool governance for a wide range of AI coding agents (Claude, Cursor, Copilot, Codex, Windsurf)
• Security intelligence flywheel that backports novel vulnerability patterns into deterministic engines
• Snyk Agent Fix improves AI-generated code fix rates significantly (e.g., Claude Sonnet 4.6 from 72% to 82%)
• DeepCode AI powers 85%-accurate security autofixes and comprehensive app coverage
• Hybrid AI approach (symbolic and generative AI) for unmatched scanning accuracy without hallucinations
• Extensive vulnerability database (Snyk Vulnerability Database) covering 3x more vulnerabilities than the next largest public database
• Often discloses vulnerabilities first (e.g., 92% of JavaScript vulnerabilities before NVD)
• Detects and remediates issues 47 days faster on average than with the next largest vulnerability database
• Focus on developer-first security, integrating directly into IDEs, CLI, SCM, and CI/CD tools
• Risk-based prioritization powered by AI, considering exploit maturity, reachability, and business context
• Comprehensive developer security education through Snyk Learn, aligned with NIST NICE Framework
• Continuous Offensive Security provides pentesting-grade coverage at speed and scale, finding business-logic vulnerabilities that traditional scanners miss
• Self-scoping and self-executing autonomous offensive security at scale
• Unified platform for code, open source, containers, IaC, and API/Web security
• Data privacy ensured, with models built and refined using permissively licensed open source projects, not customer data
• Ability to secure AI-introduced dependencies and prioritize genuinely exploitable vulnerabilities
• Significant reduction in mean time to remediate (MTTR) by 84% or more
• Recognized as a Leader in Gartner Magic Quadrant for Application Security Testing (AST) and Forrester Wave for Software Composition Analysis (SCA)