BOSTON—Snyk Ltd., a developer-first security powerhouse valued at billions, is set to unveil its AI Security Foundation on February 11, 2026, in a virtual event aimed at rearming DevSecOps teams for the surge in generative AI and AI-native applications. Led by Chief Innovation Officer Manoj Nair and Chief Technology Officer Danny Allan, the session promises to demonstrate agent-based orchestration for enforcing guardrails from the initial AI prompt, addressing a critical gap as enterprises race to integrate AI without compromising security. TipRanks first spotlighted the announcement, noting Snyk’s strategic push amid booming demand for tools that weave security into AI workflows.

This foundation builds directly on Snyk’s May 2025 launch of the AI Trust Platform—billed as the industry’s first AI-native agentic system for governing software development in the AI era. “Snyk was founded with a mission to disrupt the legacy AppSec industry… putting security in the hands of developers,” CEO Peter McKay declared in the platform’s press release. The platform underpins proactive security across the software development life cycle with testing engines powered by DeepCode AI and Snyk’s vulnerability database, enabling visibility into AI assets, intelligent prioritization, and adaptive policies. A Georgetown University study cited by Snyk reveals 48% of AI-generated code remains insecure, fueling the urgency.

From Trust Platform to Foundation Evolution

Snyk’s trajectory traces back to its core developer security platform, which scans code, open source, containers, and infrastructure as code. The AI Trust Platform introduced innovations like Snyk Assist for contextual insights, Snyk Agent for automated fixes, Snyk Guard for real-time policy enforcement, and the AI Readiness Framework for maturing AI strategies. “I’m confident that the Snyk AI Trust Platform will be a gamechanger,” said Danny Allan, emphasizing AI’s role in augmenting—not replacing—developers. Partners like Qodo integrated via Snyk’s Model Context Protocol server to embed security in AI coding assistants.

The February event signals an upgrade, focusing on “strengthening your team’s foundation of DevSecOps for the age of AI development,” per the event page. It targets blind spots in models, datasets, and agents, with demos on securing generative AI from the first prompt and protecting AI-native apps via orchestration. Liran Tal, Snyk’s DevRel lead, teased on X: “On February 11, @snyksec is unveiling the latest innovations… guardrails to secure generative AI [and] Secure AI-native apps.” Registration urges builders to “embed trust into every line of code, model, and agent.”

Navigating AI’s Perfect Storm

Danny Allan warns of a “perfect storm”: faster code velocity, complex AI-native apps introducing new attack surfaces, and AI-wielding attackers. “You have more code coming at a faster velocity than ever before,” he told The New Stack. Snyk Labs, launched alongside the Trust Platform, incubates solutions like AI Bill of Materials for model visibility and a GenAI model risk registry tackling jailbreaking—prompts bypassing LLM safeguards.

Snyk Studio fosters partner collaborations to infuse security into AI workflows, while the MCP server standardizes AI model integrations. TELUS Digital CISO Adrian Guevara praised: “The Snyk AI Trust Platform is the most comprehensive I’ve seen… allowing CISOs like myself to have confidence.” Deloitte’s Faris Naffaa highlighted joint Secure by Design efforts for AI-centric apps.

Agentic Advances with Evo

October 2025 brought Evo by Snyk, the first agentic security orchestration system, now in experimental preview with full rollout early 2026. Evo follows an OODA loop—Observe AI usage, Orient to risks via threat modeling, Decide policies, Act with fixes—to counter prompt injections (hit by one in three leaders, per Gartner) and Shadow AI. “Security can’t just keep pace—it must lead the charge,” McKay stated. Evo integrates into the AI Security Platform, empowering “AI Security Engineers” for agentic enterprises.

Gartner notes 90% of engineers will use AI code assistants by 2028, up from 14% in 2024. Snyk’s tools address this: Snyk Code hit $100 million ARR by late 2024, per Forbes, as GenAI tools like Copilot explode vulnerabilities—40% more than human code, says Carahsoft.

Enterprise Momentum and Roadblocks

Snyk’s FedRAMP authorization bolsters government adoption, with Snyk for Government embedding Secure-by-Design. Acquisitions like Invariant Labs in June 2025 enhanced AI safeguards against data exfiltration and MCP vulnerabilities, feeding Snyk Labs. Yet challenges persist: 58% of firms see security as AI adoption’s top barrier, but only 20% test proofs-of-concept, per Snyk research.

Recent X buzz underscores urgency, with Pure AI promoting Snyk-sponsored webcasts on AI-accelerated remediation. As IPO whispers swirl—Snyk eyes 2026 public markets per BankInfoSecurity—the AI Security Foundation positions Snyk to capture share in a market where traditional tools falter against non-deterministic AI threats.

Operationalizing Trust at Machine Speed

The February 11 event, echoing Snyk Launch 2025’s on-demand focus on AI app security, will operationalize “trust at machine speed.” Attendees can expect blueprints for continuous defense, governance, and agentic workflows. With Evo’s preview and Foundation unveil, Snyk aims to close the “AI readiness perception gap,” ensuring developers innovate fearlessly while CISOs sleep soundly.