Snyk for AI Agent Security: Features, Pricing, and Alternatives

As AI agents gain autonomy and access to sensitive systems, the security landscape is evolving rapidly. Snyk, a company known for its application security platform, has entered the agentic security space with Evo by Snyk—an experimental preview of autonomous security agents designed to scan, test, and protect AI-powered applications.

In this article, we’ll explore Snyk’s approach to AI agent security, and examine their experimental Evo platform.

What is Snyk?

Founded in 2015, Snyk has built a reputation as a developer-first application security platform trusted by over 4,500 organizations including Twilio, Revolut, Snowflake, Atlassian, Salesforce, Spotify, and Kroger. The company’s core platform helps development teams find and fix vulnerabilities in open-source dependencies, container images, infrastructure as code, and application code.

In June 2025, Snyk acquired Invariant Labs, an ETH Zurich spin-off specializing in AI safety and security guardrails. This acquisition deepened the research bench for Snyk Labs and extended the recently launched Snyk AI Trust Platform, integrating Guardrails and other agentic AI security research into a single AI-native security platform. In October 2025, Snyk launched Evo by Snyk, an agentic security orchestration system built on top of this platform and designed to secure AI-native applications and tools, including GenAI and agentic systems.  

Snyk’s target audience remains developers and security teams at organizations ranging from startups to large enterprises. With Evo, they’re extending their application security expertise into the experimental territory of autonomous security agents—a bold move that signals where the market may be headed, even if the technology isn’t fully GA yet.

Key Features and Capabilities

Snyk’s AI Trust Platform combines traditional application security scanning with experimental agentic security features delivered through Evo and related AI products.

Snyk AI Trust Platform

The core AI Trust Platform provides vulnerability scanning and security analysis across the software development lifecycle, including AI-centric workloads. It builds on Snyk’s existing engines (Code, Open Source, Container, IaC, API & Web) and DeepCode AI to deliver AI-powered testing and prioritization, and is positioned as an “AI-native, agentic” security platform for modern software development.

This includes scanning for issues in machine learning dependencies, detecting AI-specific vulnerabilities, and providing observability into how AI components are used across applications.

Evo Agentic Security Orchestration System (Experimental Preview)

Evo represents Snyk’s agentic foray into autonomous security orchestration. The system deploys a Workflow Agent that coordinates a set of specialized task agents operating semi-autonomously to scan, test, and analyze AI-native applications.

Key agents include the Discovery Agent, Secure by Design Threat Modeling Agent, Red Teaming Agent, MCP Scan Agent, AI Risk Registry Agent, Policy Agent, Fix Agent, and a Reporting Agent.  

Each agent operates within guardrails and can be orchestrated to work together on security assessments via natural-language prompts. Evo is available today in experimental preview, with broader availability expected in early 2026.  

Invariant Guardrails

Acquired from Invariant Labs, the Guardrails technology provides a transparent security layer at the LLM and agent level. It allows builders to augment AI systems with stronger security guarantees, combining static scans of tools, runtime behavior, incident data, and human annotations. Guardrails can detect and help prevent unsafe AI behaviors including prompt injection attempts, sensitive data leakage, secrets exposure, copyright issues, and harmful or unwanted content.

Integration of Guardrails and related research into Snyk’s AI Trust Platform and Evo is still evolving, but it is clearly a core part of their agentic AI security story.

Runtime Observability

Evo and the broader AI Trust Platform provide visibility into AI usage across the environment. Through the Discovery Agent, AI Risk Registry Agent, and Reporting Agent, teams can map AI models, agents, MCP servers, and dependencies, track AI agent actions, monitor for anomalies, and gain visibility into how AI systems interact with data and services in practice. This observability is critical for understanding what AI agents are actually doing in production environments.

How Snyk Approaches Vulnerability Detection in AI Applications

Snyk’s core strength has always been vulnerability detection, and they’re extending this expertise to AI-specific security concerns. The platform scans AI application dependencies—including machine learning libraries, model serving frameworks, and infrastructure supporting vector databases—for known vulnerabilities, leveraging its vulnerability database and AI-ready testing engines. When a vulnerability is detected, Snyk provides remediation guidance and can automatically create pull requests to upgrade to patched versions.

For AI-specific vulnerabilities, Snyk’s Red Teaming Agent and related experimental AI security tools can conduct more sophisticated testing. The Red Teaming Agent is designed to run autonomous adversarial testing of models, agents, and applications, probing for issues like prompt injection and other emergent AI threats before attackers can exploit them.  

However, it’s important to note that vulnerability scanning—even AI-enhanced vulnerability scanning—is fundamentally different from authentication and authorization.

Snyk identifies security issues in code, configurations, and AI components. It doesn’t provide the enterprise authentication infrastructure that AI agents need to securely access systems and data. That’s where the gap between application security and identity infrastructure becomes apparent.

Pricing and Plans

Snyk offers tiered pricing designed to scale from individual developers to large enterprises across its core products. The AI Trust Platform capabilities are being integrated into the main platform and enterprise offerings.

Evo by Snyk, being in experimental preview, does not yet have publicly published pricing. Early adopters access Evo through design partner programs and preview sign-ups, with broader availability expected in early 2026; pricing for GA will likely be formalized closer to that date.  

For enterprises considering Snyk, it’s worth noting that while the application security features and the AI Trust Platform are now shipping and actively marketed, the full agentic orchestration capabilities of Evo remain in preview. Teams should factor in the experimental nature of Evo when evaluating the platform for production AI agent deployments.

Snyk vs. WorkOS: Application Security vs. Enterprise Authentication

Snyk and WorkOS operate in fundamentally different domains, and understanding this distinction is critical for teams building AI agent infrastructure.

What Snyk Offers

Snyk provides application security scanning and vulnerability detection. With the AI Trust Platform and the experimental Evo system, they’re exploring how agentic AI can enhance security testing, AI risk visibility, and governance. The platform targets development and security teams working to identify and fix vulnerabilities in AI applications and their supporting infrastructure.

However, Evo is currently in experimental preview—not full GA. The features are being tested with early access customers, and broader availability isn’t expected until early 2026.

More importantly, Snyk doesn’t provide authentication or authorization infrastructure. While Snyk can scan your AI agents and AI-native apps for vulnerabilities, it doesn’t authenticate those agents, manage their access to systems, or provide the enterprise identity features that B2B SaaS applications require.

Why WorkOS Is the Enterprise-Ready Choice

WorkOS provides production-ready authentication and authorization infrastructure that enterprises depend on today—not experimental features that might be ready next year.

Battle-tested at scale

WorkOS powers authentication for thousands of enterprise applications, with support for SOC 2, HIPAA, and GDPR compliance requirements. Every feature is generally available, supported, and ready for production deployments.

Comprehensive authentication platform

WorkOS provides everything enterprises need: Single Sign-On (SSO) with support for major identity providers, Multi-Factor Authentication (MFA), Directory Sync for user provisioning, an Admin Portal for enterprise self-service, and comprehensive audit logs. This isn’t a point solution or experimental preview—it’s a complete authentication platform.

Production-ready today

There are no experimental flags required to get core capabilities. The platform is backed by SLAs and supported by dedicated customer success teams. When you build on WorkOS, you’re building on proven infrastructure.

Developer experience

WorkOS enables development teams to ship enterprise authentication in hours, not weeks. The APIs are clean, the documentation is comprehensive, and the integration path is straightforward. No wrestling with complex agent orchestration systems—just solid, reliable authentication infrastructure.

Enterprise-grade reliability

WorkOS provides a 99.99% uptime SLA, dedicated support for enterprise customers, and white-glove onboarding. When your customers require enterprise authentication—and they will—WorkOS delivers without compromise.

Future-proof infrastructure: As your application grows and your enterprise customers demand more sophisticated authentication features, WorkOS scales with you. No need to switch providers or bolt on additional solutions as you mature.

The Right Choice for Enterprise AI Applications

For teams building production AI applications that enterprises will use, the choice is clear:

For enterprise authentication and authorization: WorkOS is the proven foundation. Your AI agents need to authenticate securely, access resources with appropriate permissions, and integrate with your enterprise customers’ identity providers. WorkOS provides this infrastructure today, with proven reliability and comprehensive features.

For application security scanning: Snyk’s core platform provides valuable vulnerability detection and security testing. The AI Trust Platform extends that into AI-native development. Evo, as it matures out of preview, may offer powerful autonomous security testing and governance capabilities. But even then, you’ll still need WorkOS for authentication and authorization.

For experimental features: If you’re willing to be an early adopter of cutting-edge but still evolving technology, Evo’s agentic security orchestration might be worth exploring in controlled environments or non-critical workloads. But enterprises building production systems can’t afford to bet their core authentication surface on experimental tooling that is orthogonal to identity in the first place.

The bottom line: Snyk scans for vulnerabilities and orchestrates agentic security workflows. WorkOS authenticates and authorizes your AI agents and users. These are complementary but entirely different capabilities. For production enterprise deployments, you need proven identity infrastructure—not experiments.

Getting Started with Snyk

Teams interested in Snyk can sign up for a free account at snyk.io and begin scanning repositories immediately. The onboarding process is straightforward: connect your GitHub, GitLab, or other repository hosting service, and Snyk begins analyzing your code for vulnerabilities.

For the experimental Evo platform, interested teams need to request early access through Snyk’s Evo site or via Snyk sales. Given the preview status, expect a more hands-on onboarding process with a focus on design partnerships and clear guidance about where Evo is and isn’t ready for production use.

Snyk’s documentation is comprehensive for their core application security features and increasingly covers AI Trust Platform capabilities. Documentation for Evo is still developing given its experimental nature, though early access customers receive dedicated support as the platform evolves.

Implementation complexity depends on what you’re trying to accomplish. Basic vulnerability scanning integrates quickly. Deploying Evo’s agents and wiring them into your AI-native applications will require more configuration and ongoing management as the platform matures.

Final Thoughts: Promising Experiments vs. Proven Enterprise Infrastructure

Snyk’s entry into agentic security with Evo represents a serious, well-funded bet on how autonomous agents might enhance security testing, governance, and AI risk management. The concept of deploying specialized security agents to continuously test and monitor AI applications is forward-thinking, and Snyk’s acquisition of Invariant Labs brought valuable AI safety expertise and guardrail technology into the company.  

However, it’s critical to distinguish between experimental previews and production-ready infrastructure. Evo is explicitly in experimental preview, with broader availability not expected until early 2026.

More fundamentally, application security scanning—even when enhanced by autonomous agents—is not authentication. Snyk identifies vulnerabilities, models AI risk, and orchestrates security testing. WorkOS authenticates your AI agents and users and manages their access to enterprise systems. These are complementary but entirely different capabilities.

For teams building AI applications that enterprises will trust and deploy, WorkOS provides the authentication foundation you need today. Battle-tested, comprehensive, production-ready, and backed by proven reliability at scale. While agentic security platforms like Evo explore what might be possible in the near future, WorkOS delivers enterprise-grade authentication infrastructure that works right now.

Snyk’s experiments show real promise and will likely shape how AI-native security is practiced in 2026 and beyond. But WorkOS provides the proven enterprise authentication infrastructure your AI agents need today. For production deployments, proven identity infrastructure beats experimental security orchestration every time.

Ready to build on proven enterprise authentication infrastructure? Get started with WorkOS and ship enterprise-ready AI applications with confidence.