Introducing Agent Security

If an auditor walked in tomorrow and asked for a complete inventory of every AI model, agent, and tool in your environment, how long would it take you to produce it? For most organizations, the honest answer is: they can’t because the way AI is entering the enterprise has fundamentally changed.

Today, we’re introducing Agent Security, Snyk’s approach to securing the AI agent lifecycle from code to runtime. Bringing this vision to life is the general availability of Evo AI-SPM, a foundational module that gives you control over AI risk today and expands the operational capabilities of the AI Security Fabric. Evo AI-SPM establishes a definitive system of record for AI risk, giving organizations a single place to understand, govern, and enforce how AI is used across the business.

Autonomous agents are now writing software, calling APIs, accessing internal systems, and taking action across production environments. These systems are becoming embedded in how modern software is built and operated. But while AI capabilities have accelerated, many organizations today have no clear way to understand what their agents are doing, what they have access to, or how to enforce safe behavior. For many leaders, the “Shadow AI” problem is a visibility crisis.

AI risk starts in development

Developers are integrating models, agent frameworks, and external tools directly into applications, often without centralized oversight. These components influence how software is written and shape its behavior, the systems it connects to, and the actions it can take. Most organizations are still looking for AI risk in the wrong place. They’re looking in cloud and runtime systems, after AI has already been deployed.

At the same time, the software supply chain is expanding in ways that are hard to track. AI components are introduced faster than they can be inventoried, creating blind spots across development, pipelines, and runtime. The first challenge is visibility. Without it, governance and control simply don’t exist.

Control is the next gap, with most organizations lacking a consistent way to define or enforce acceptable agent behavior. This is compounded by prompt injection, data leakage, and unsafe agent actions, arising from systems that rely on external inputs and multi-step reasoning.

Without purpose-built controls, these risks can quickly propagate across applications and workflows. To secure it, organizations need to address both.

Securing agentic development

Every team using tools like Claude Code, Cursor, or Devin is introducing autonomous systems directly into the development environment. These systems have access to codebases, internal APIs, and sensitive data—and they are making decisions about what gets built and shipped.

Secure the supply chain

Agents rely on a rapidly expanding ecosystem of MCP servers, plugins, tools, and external services, many of which are unvetted. Agent Scan (Open Preview) discovers and risk-assesses these components before they are used, giving teams insight into what agents can access and execute.

Secure the output

AI-generated code introduces new classes of risk, including authorization flaws, insecure dependencies, and business logic errors that traditional static analysis often misses. Snyk Studio enforces security directly in CI/CD pipelines as code is produced, is deployed across 300+ enterprise customers, and natively integrates with workflows including Claude Code, Cursor, and Devin.

Secure the behavior

Agents don’t just generate code; they execute commands, access systems, and trigger workflows. Agent Guard (Private Preview) enforces policies in real time, monitoring agent behavior and blocking unsafe or destructive actions as they happen, not after the fact.

Securing agentic applications

The same teams building with agents are deploying them into applications, copilots, and automated workflows. In many cases, this is happening with no inventory, no policy enforcement, and no audit trail.

Validate real-world behavior

Agent Red Teaming (Open Preview) simulates multi-step attack scenarios, including prompt injection, data exfiltration, and chained agent actions to uncover vulnerabilities before they reach production.

Secure applications running in production

Snyk API & Web performs dynamic testing at runtime on applications to detect runtime risks such as authorization flaws (e.g., BOLA) and insecure business logic under real-world conditions.

The new security model

The model we see working across organizations is simple: Visibility → Intelligence → Enforcement

• Visibility: Understand what AI exists across code and workflows.

• Intelligence: Identify which components introduce real risk.

• Enforcement: Ensure unsafe AI never reaches production.

Visibility alone isn’t enough. Knowing what exists doesn’t prevent anything. The only model that works is one that connects all three and operates where AI actually enters the system: in code.

Evo AI-SPM — Now generally available

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Securing AI agents begins with understanding where they exist and how they are being used. Without that foundation, it’s impossible to define policies, assess risk, or enforce safe behavior. Agent Security is built on top of Evo AI-SPM (AI Security Posture Management), which is now generally available.

Across 500+ Evo scans, including organizations with over 100K repositories, we consistently see the same pattern: teams with strong cloud security still lack visibility into what’s happening in code.

This data was collected and included in Snyk's 2026 State of Agentic AI Adoption Report. Many organizations that thought they had AI under control were surprised to find they don’t, as deploying a single AI model can introduce nearly three times as many untracked software components, creating hidden risk across the organization.

Continuous discovery across code and workflows

Evo AI-SPM establishes that foundation by continuously discovering AI components directly in code and development workflows, including models, datasets, agent frameworks, and supporting libraries. Each asset is also enriched with risk intelligence for context, allowing teams to understand not only what they are using but also the potential security, safety, and compliance implications. This creates a living inventory of AI assets that reflects how systems are built, not just how they are deployed. 

Risk intelligence with context

Evo AI-SPM also enables organizations to enforce governance. Increasingly, organizations aren’t just being asked whether AI policies exist; they’re being asked to prove those policies are enforced. Security teams can define policies in plain language and apply them consistently across development workflows, preventing unsafe configurations and behaviors before they reach production.

 Combining risk intelligence with context about the model and downstream application use cases empowers security engineers to build powerful business-relevant custom policies. In doing so, AI-SPM becomes the system of record for AI risk, providing the foundation needed to safely scale agent adoption.

Enforcing governance before production

Many runtime and cloud security solutions only monitor AI in infrastructure and runtime environments. While this can catch some misbehavior after deployment, it misses risks introduced earlier in development — in code, CI/CD pipelines, and internal libraries. By the time runtime tools detect issues, the governance window is closed, leaving teams to untangle risks like unsafe models, unvetted datasets, or risky agent behavior that are already deeply embedded in production systems. 

Start securing your agents today

You can explore Evo AI-SPM today to gain a complete view of your AI footprint and begin enforcing governance where it matters most. For teams looking to go further, Snyk is actively working with design partners to shape the next generation of Agent Security capabilities across testing and runtime enforcement.

If you’re still uncovering how AI is being used across your organization, join our webinar to see how teams are exposing and governing Shadow AI in practice.

Your AI agents are already building your business. The question is whether you control what they’re building before it ships. Book a demo to see Evo AI-SPM in action.