Snyk Announces its Evo Agentic AI Security Orchestration System to Secure AI Applications

AI security vendor Snyk has unveiled its new Evo by Snyk agentic orchestration system that is engineered to help enterprises better secure the complexities of their modern AI-native applications and tools.

Evo by Snyk, which will be part of the Snyk AI Security Platform family of security products, is built to orchestrate multiple agents, automate workflows, and enforce a company’s policies and governance across AI application development lifecycles, the company said in an October 22 announcement.

Evo’s unified agentic interface is designed to help developer teams find, analyze, and prioritize risks and actions in AI code, while creating policies that will allow them to govern AI adoption at scale, according to Snyk.

Evo by Snyk is available immediately in preview, with broader availability expected in early 2026.

“AI applications introduce new classes of risk: tampered model components, unauthorized model use, prompt and input manipulation, runaway automation, and even autonomous systems interacting in unexpected ways,” Manoj Nair, chief innovation officer at Snyk, told ChannelE2E. “Evo acts as a security control layer across AI-native applications and tools, from identifying AI use in development, through visibility into AI components already in repos and apps, to addressing new AI risks through threat modeling and red teaming. It is designed to protect the entire AI application lifecycle, without slowing innovation or forcing developers into rigid workflows.”

The creation of Evo by Snyk was inspired by a gap that continuously surfaced in conversations with CISOs, CTOs, and platform teams, said Nair. “Everyone was moving fast with AI, but security had not caught up.”

The problem, he said, was that some vendors in the application security testing space were talking about using AI in their products, but that none of them were really addressing the challenges of securing agentic apps.

“They were bolt-ons,” he said. “They did not address the real issue: security has to be part of the architecture itself, not an afterthought.”

From those discussions, Snyk created Evo to fill that critical gap, said Nair.

Snyk’s channel partners described the same pains, he added.

“The security teams they work with are being asked to secure AI systems without visibility, without control, and without purpose-built tools,” said Nair. “Evo was developed to meet this need head-on, offering a continuous, operational, automated defense that aligns with the speed and complexity of modern AI systems. We see this as an important step in enabling the emergence of a new role, the AI Security Engineer.”

Evo includes multiple orchestrating agents that combine to address security requirements that aim to secure AI-native applications as they are created and throughout their lifecycles, according to the company.

“Instead of treating security as a separate layer that slows everything down, Evo bakes security directly into how AI systems are built and run,” said Nair. “For developers, that means policies, scanning, threat modelin,g and automated remediation result in actions that are distilled down from all those activities into specific and minimal changes that happen inside their existing workflows, not bolted on later. It is proactive, continuous, and aligned to the way engineers and agentic systems actually work.”

Evo Will Bring New Opportunities for MSPs

For MSPs, the expanding use of AI applications – and the help they require for enterprises – opens new avenues for service opportunities and revenue growth, said Nair.

“Your customers are experimenting or going all in on AI,” he said. “That creates a new layer of risk they cannot easily control. Evo gives specialized MSPs a way to offer continuous AI security as part of their stack – not just scanning or compliance – but real-time protection of how AI systems behave, interact and make decisions.”

This gives MSPs visibility into AI usage across their customers’ environments, he said, as they help them provide defenses against cyberthreats, including prompt injection, model tampering, data leakage, MCP server exploits, and more.

Partners that specialize in security will be able to build managed service offerings on top of Evo so they provide governance, real-time monitoring and automated incident response across AI-native systems for their customers, said Nair.

“AI has changed the attack surface faster than any previous tech wave,” he told ChannelE2E. “Prompt injection, MCP exploitation, and agent chaining are not future threats – they are already showing up in enterprise environments. Evo is [an] architectural answer to this problem. It is not a feature or a point solution; it is a foundational layer designed for the agentic AI era.”