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Snyk unveils continuous AI pentesting and agent red teaming. Snyk has announced the general availability of Evo Continuous Offensive Security (COS), enabling security teams to continuously test applications with autonomous, AI-powered pentesting and AI agent red teaming while providing validated proof of what attackers could actually exploit. AI is accelerating software release cycles while rapidly expanding the exposed attack surface, which now spans architectural flaws only reasoning-capable systems can find, credentials leaking out of AI-generated code and the models and agents now embedded directly in the development lifecycle. Attackers are now going after every layer at once: low-priority legacy bugs that were never fixed, new code being written and the applications agents run in production. Snyk's latest research into enterprise AI adoption shows agentic development accelerating faster than security programs can track it. The Five Eyes alliance warned in June that AI will bypass cybersecurity in months, not years, with adversary breakout time now measured in seconds, and Gartner forecasts the window to exploitation will be halved by 2027. Closing that gap requires four key actions: discovering the full attack surface, remediating the backlog, validating what's actually exploitable, and preventing what comes next. The Snyk AI Security Platform expansion delivers on all four: * Discover: the full software and AI attack surface - models, agents, MCP servers, skills, tools and what each can reach, with an upgraded AI-SPM * Remediate: the inherited backlog before autonomous attackers work through it faster than people can respond, with a first look at Snyk's Agentic App Sec * Validate: continuously confirm that fixes hold and surface the architectural and business-logic flaws no scanner reaches, with the general availability of Evo Continuous Offensive Security * Prevent: secrets, malicious packages and new vulnerabilities from rebuilding the backlog as humans and agents write software, with Snyk Secrets, prevention gates and malicious code defense Validate: proving what is actually exploitable with Evo Continuous Offensive Security. Scanners find bugs. Pentesters find flaws. That distinction held for 20 years, and the flaws have always been the more expensive part of the process. Flaws are architectural: to exploit one, you have to understand what the application was designed to do. Manual pentesting has always been the go-to means of uncovering these flaws, but a typical engagement runs 15 days and costs $20,000 to $100,000. What about the other 350 days? Development doesn't stop, and neither do attackers. Evo COS closes that gap: an AI-powered pentesting capability built on an enterprise-grade AI harness that reasons about application intent to uncover the architectural flaws and business-logic vulnerabilities traditional scanners miss. It receives its context from existing Snyk Code, Snyk Open Source and Snyk API & Web findings, so AI Pentesting and Dynamic Testing (DAST), the components that autonomously uncover exploitable vulnerabilities at scale and exhaustively test every endpoint for commodity flaws like XSS and SQLi, direct their effort at what those tools can't catch. Organizations can now see how many AI components they're running, models, agents and the tools they call, but they can't see how an attacker could use those components. Those risks are behavioral and non-deterministic; no signature-based scanner or annual pentest can account for them. That's the gap Agent Red Teaming closes: simulating prompt injection, tool and agent abuse and data exfiltration against running AI agents and LLM-integrated applications, testing continuously as the footprint changes. Other COS solutions have saturated leading benchmarks with a 100% pass rate using pure blackbox, non-SOTA models. Snyk is now building the next generation of AI pentesting benchmarks, modeled on real design partner environments instead of synthetic tests. Discover, remediate, and prevent. Discover: AI Security Posture Management, featuring major enhancements: Upgrades to the AI-SPM model risk taxonomy and scoring engine, plus new skills and MCP server risk analysis surfaced inside the AI-BOM. This provides visibility into what agents are actually touching, and converts raw attack results into a prioritized risk score. Remediate: Evo Agentic AppSec, a first look at what's next: Snyk's vision for autonomous application security, anchored by the public preview of the remediation agent via command line interface (CLI) or agentic development environment (ADE), which fixes vulnerabilities automatically, plus a first look at a new malicious code defense solution, which protects against supply chain attacks. Prevent: Snyk Secrets, now in general availability: A secrets detection and prevention product built for the agentic development lifecycle (ADLC), using a proprietary ML detection engine that reads context around a candidate secret to cut false positives, with prevention gates across AI coding agents, IDEs, PRs and CI/CD. What security teams are already seeing. "Security teams are looking for solutions that help them prioritize real risk, not just manage more alerts. Snyk's Continuous Offensive Security gives teams clearer visibility into exploitable vulnerabilities and how they chain together, enabling them to move faster, reduce exposure and support innovation with confidence," said Colleen Carroll, Senior Director, Information Security Officer, Emburse. "The volume and pace of AI-generated code has fundamentally outpaced the pentesting model most of us have been running for years. We can't schedule our way out of a continuous risk surface. What we need is offensive testing that keeps up with how we actually build software today - with enough context to focus on what's genuinely exploitable, not just what's theoretically possible," said Gabriel Brolo, Staff Security Engineer at Yalo. "Nearly every CISO conversation starts with the same question: how do I prepare for the post-Mythos era, when autonomous AI attacks move from a research breakthrough to a mainstream operating model for attackers? You cannot answer that with another disconnected security tool. Working with some of the world's largest enterprises, we designed Evo as a connected set of defense loops: see the exposure, remediate the backlog, continuously prove what is still exploitable and prevent AI-driven development from rebuilding that backlog faster than teams can reduce it. Continuous Offensive Security is the adversarial proving layer at the center of that system," said Manoj Nair, Chief Technology & Innovation Officer, Snyk. More about

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.