Snyk vs Veracode vs Corgea: comparison table. | Feature | Snyk | Veracode | Corgea | | Primary focus | Developer-first AppSec across dependencies and code | Enterprise application risk management and AppSec testing | AI-native detection and review-ready remediation | | SAST | Yes, through Snyk Code | Yes, mature SAST with broad language support | Yes, AI-native SAST with contextual detection | | SCA | Yes, core strength | Yes, native SCA with policy workflows | Yes, reachability-aware SCA | | DAST | Add-on / partner workflows | Yes, native DAST and API testing | Works alongside existing DAST findings | | IaC scanning | Yes | Yes | Yes | | Container scanning | Yes | Yes | Yes | | Secrets detection | Limited / platform-dependent | Yes, through platform workflows | Yes | | Auto-fix / remediation | Snyk Agent Fix for supported issues | Veracode Fix for supported Pipeline Scan findings | Review-ready fixes as pull requests | | Governance | Enterprise controls available | Strong policy and compliance workflows | Lighter governance, developer workflow first | | Pricing model | Free and paid tiers, enterprise quote | Custom enterprise quote | Free trial, quote-based plans | | Best fit | Engineering-led rollout | Regulated enterprise portfolios | Faster remediation and lower-noise prioritization | When to choose Snyk. Choose Snyk if you need developer-first AppSec coverage with especially strong SCA, container, and IaC workflows. Snyk is a good fit for engineering-led teams that want security checks in IDEs, pull requests, repositories, CLIs, and CI/CD. When to choose Veracode. Choose Veracode if you need enterprise SAST depth, broad language coverage, governance, policy controls, and a unified AppSec platform that security teams can operate across a large portfolio. Veracode is especially compelling for regulated organizations and complex multi-language environments. When to choose Corgea. Choose Corgea if you want lower-noise prioritization and review-ready fixes without waiting on manual patch translation. Corgea works alongside Snyk, Veracode, or whatever scanners you already use. It can also replace parts of the stack for teams that want an AI-native AppSec platform with SAST, SCA, secrets, IaC, containers, and autonomous pentesting. Frequently asked questions. What is the main difference between Snyk and Veracode? Snyk is a developer-first AppSec platform best known for SCA and smooth developer workflow integrations. Veracode is an enterprise AppSec platform best known for mature SAST, policy management, and centralized compliance reporting. The short version of Snyk vs Veracode is developer-first rollout versus enterprise governance depth. Can I use Snyk and Veracode together? Some organizations use different tools for different business units or application types. If you run both, Corgea can sit on top of scanner output and help normalize remediation by generating pull requests from findings. Which is better for SAST: Snyk or Veracode? Veracode is usually stronger if your main requirement is mature enterprise SAST across a broad set of languages, policies, and governance workflows. Snyk is usually stronger if you want SAST embedded into a broader developer-first platform with fast adoption. Validate on your own repositories. What are the best alternatives to Snyk and Veracode? Common alternatives include Corgea, Semgrep, Checkmarx, GitHub Advanced Security, SonarQube, and Fortify. See the best SAST tools guide, Snyk alternatives, and Veracode alternatives. Does Corgea replace Snyk or Veracode? Corgea can replace parts of a scanner stack for teams that want an AI-native AppSec platform, but it does not have to replace Snyk or Veracode. Corgea complements these tools by ingesting their findings and generating review-ready fixes as pull requests. Ready to turn findings into fixes? Corgea integrates with Snyk, Veracode, and other security tools to generate review-ready fixes. Validate the workflow on your own repositories.

Snyk launches Evo Agentic Development Security to police AI coding agents. Cybersecurity company Snyk Ltd. today launched Evo Agentic Development Security, a new layer of its artificial intelligence security platform built to police the autonomous coding agents that increasingly build enterprise software without much human oversight. The product, which Snyk shortens to Evo ADS, aims to govern three things at once: the tools an agent pulls in, the actions it takes while running and the code it generates. It enforces those controls inside the agent's workflow rather than scanning the output afterward. Snyk is pitching the launch as a response to a gap that conventional security tooling was never designed to cover. AI coding assistants have turned into autonomous agents that call external tools, take actions and connect to internal systems through Model Context Protocol servers, plugins and third-party integrations. Most existing tools scan code after it is written and have no view into those connections or into what an agent does at runtime. The company backs the argument with telemetry it collected from nearly 9,700 developer environments. Snyk found that 43% of developers run two or more AI coding environments at the same time and more than half have MCP servers installed, with the most heavily instrumented environment running more than 80 at once. One in 12 developers with MCP servers had a high or critical finding. A separate look at early enterprise design partners found that nearly one in four developers had at least one agent skill installed, averaging 18 each, and that more than one in 10 of those skills referenced external dependencies or externally hosted instructions. Snyk has documented working attacks through the agent toolchain, including a poisoned security scanner that back-doored the LiteLLM library and prompt injection buried in dependencies that agents consume. Evo ADS splits its controls across three stages. It vets the MCP servers, skills and external tools an agent uses before the agent touches them, monitors and enforces policy on what an agent does as it runs and scans and fixes vulnerabilities in AI-generated code as it is created. "Ask a security leader for a complete inventory of the AI agents, MCP servers and skills running across their developer machines and in most organizations that inventory doesn't exist," said Manoj Nair, chief technology and innovation officer at Snyk. "That is the gap Evo ADS closes." Among early users is Relay Network LLC, whose engineering teams run GitHub Copilot, Codex and Windsurf and are moving to Claude Code as their primary coding assistant. The launch rounds out the Snyk AI Security Platform, which now spans Evo AI-SPM for visibility into AI assets and Evo Continuous Offensive Security for simulated attacks. Evo ADS is timed to the AI Engineer World's Fair, where Snyk is the exclusive sponsor of the event's first security track. General availability for Evo ADS is scheduled for June 29. Image: Snyk. A message from John Furrier, co-founder of SiliconANGLE: Support its mission to keep content open and free by engaging with theCUBE community. Join theCUBE's Alumni Trust Network, where technology leaders connect, share intelligence and create opportunities. * 15M+ viewers of theCUBE videos, powering conversations across AI, cloud, cybersecurity and more * 11.4k+ theCUBE alumni - Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network. About SiliconANGLE Media SiliconANGLE Media is a recognized leader in digital media innovation, uniting breakthrough technology, strategic insights and real-time audience engagement. As the parent company of SiliconANGLE, theCUBE Network, theCUBE Research, CUBE365, theCUBE AI and theCUBE SuperStudios - with flagship locations in Silicon Valley and the New York Stock Exchange - SiliconANGLE Media operates at the intersection of media, technology and AI. Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. Its new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.

Snyk adds Agentic Development Security to its AI Security Platform: the enforcement layer for the AI agents now building enterprise software. Real-time enforcement across the full agent development lifecycle - governing what agents use, what agents do, and securing the code they generate. June 23, 2026 08:00 ET | Source: Snyk BOSTON, June 23, 2026 (GLOBE NEWSWIRE) - Snyk, the AI security company, today announced Evo Agentic Development Security (ADS), extending security coverage to the AI workforce powering modern software development. Evo ADS secures how software is built in the age of autonomous AI agents - governing what agents use, what they do, and what they generate - in real time, inside the agent workflow, before risks increase. AI coding assistants have evolved into autonomous agents - systems that invoke external tools, take actions, and generate software with minimal human oversight, connected to internal systems through MCP servers, plugins and third-party integrations. Existing security models were built to scan code and artifacts, not to govern the systems creating that code, vet the tools they use, or enforce policy on what an agent does at runtime. Data from enterprise environments confirms the shift is already underway - and publicly documented attacks have already demonstrated working exploits through the agent toolchain itself, from malicious MCP servers to prompt injection embedded in the dependencies agents consume. Autonomous agents have outpaced the security models designed to govern them Anonymized telemetry from nearly 9,700 developer environments reveals how far this shift has already progressed. Forty-three percent of developers run two or more AI coding environments simultaneously, and more than half have MCP servers installed. The most instrumented environments had more than 80 MCP servers running simultaneously. These connections create live access to code repositories, browsers, internal tools and production systems, with no security controls between them. The risk inside that supply chain is very real. One in 12 developers with MCP servers has a high or critical finding. A separate analysis of early ADS enterprise design partner environments revealed the parallel threat in agent skills: nearly 1 in 4 developers has at least one skill installed, averaging 18 each, and more than 1 in 10 skills reference external dependencies or externally hosted instructions. Existing security tools scan code after it is written; they have no visibility into MCP configurations, skills, or what agents do at runtime. Evo Agentic Development Security: enforcement built into the agent execution loop Until now, security teams have faced a false choice: block AI coding agents entirely and sacrifice the productivity gains the business is demanding, or allow them with no visibility into what they're connecting to or what they're doing. Evo ADS introduces a third option: govern them. It introduces a continuous control layer that operates inside the agent workflow - not downstream from it - across three layers of the agentic development lifecycle: * Secure the agent supply chain: Discovers and assesses the MCP servers, skills, and external tools agents pull in - surfacing prompt injection, malicious code patterns, and supply chain risks before agents ever interact with them. * Govern agent behavior: Monitors and enforces real-time policy on what agents do while they operate - blocking destructive actions before they execute, and governing the systems agents access and the workflows they run. * Ensure trusted output: Scans and fixes AI-generated vulnerabilities at the moment of creation - enforcing security at inception rather than in post-production review. One solution. Three layers. Continuous enforcement across every phase of agentic development. Internal AI gateways can provide routing and logging - but they cannot determine whether an MCP server is malicious, whether a skill carries hostile instructions, or whether generated code is actually exploitable. That requires an independent enforcement layer operating across real-world environments at scale. "Ask a security leader for a complete inventory of the AI agents, MCP servers, and skills running across their developer machines - in most organizations, that inventory doesn't exist," said Manoj Nair, Chief Technology & Innovation Officer at Snyk. "That is the gap Evo ADS closes. It discovers what is actually installed, governs what agents do while they run, and validates what they produce. The question is no longer whether your team is using AI agents. It is whether you have a governance layer - and right now, for most organizations, the answer is no." For organizations already deploying AI coding agents, the governance gap is immediate. Relay Network, whose engineering teams run GitHub Copilot, Codex, and Windsurf, and are transitioning to Claude Code as their primary development assistant, embedded Snyk directly into AI-assisted development workflows to enforce security as code is created. "As we expanded our use of agentic development, it opened up a new attack surface," said Brendan Putek, director of DevOps, Relay Network. "We're seeing supply chain attacks, malicious skills and compromised MCP servers riding in on the agent's own toolchain, plus agents taking actions with no guardrails between intent and execution. The blast radius isn't bounded and we're early in the curve. Working with Snyk, we landed on what I think is the right architecture: controls built directly into the agent workflow that govern what an agent uses, executes, and generates." "Agentic development security represents a fundamental shift in how developers think about code," said Oliver Neuberger, Managing Director, EMEA and UKI CMT cybersecurity practice lead, Accenture. "The potential for agents to deliver value is enormous, but their impact demands mindful development and the right guardrails - so enterprises can deploy them securely and with confidence." Availability Evo ADS will be generally available June 29, timed to roll out while Snyk attends the AI Engineer World's Fair, where Snyk is the exclusive sponsor of the event's first-ever security track. The launch means the Snyk AI Security Platform now governs AI across the full software lifecycle, from agents writing code to the models running in production to the applications the agents build. Evo AI-SPM delivers total visibility and machine-speed governance of AI assets. Evo Continuous Offensive Security (COS) simulates attacks to find exploitable vulnerabilities before adversaries do. Evo ADS secures the AI workforce itself - the agents and tools through which software is now created. Together, the three solutions form the AI Security Fabric - the independent validator that makes AI-generated code, AI agents, and AI-native applications trustworthy. About Snyk Snyk, the AI security company, empowers the AI-driven enterprise to develop and secure its future, ensuring organizations can trust AI to innovate without limits. The Snyk AI Security Platform delivers the industry's AI Security Fabric, weaving protection directly into the flow of creation to secure GenAI code, AI-native applications, and agentic systems. By delivering visibility, control, and autonomous defense secure at inception, Snyk enables over 4,800 global customers to build fearlessly in the AI era. Media Contact Tsai-Ni Ku [email protected]