Snyk

Secures the Code AI Writes

An independent security layer that continuously validates AI-generated code, with 65–70% of production code now AI-generated and nearly half containing vulnerabilities.

Validate AI-generated code before it reaches production

Protects the AI Workforce

Addresses untrusted agentic development where AI agents write code, invoke tools, and commit changes with no security checkpoint between inception and production.

Put a security checkpoint between agent inception and production

Governs Every AI App You Build

Governs ungoverned AI applications by giving security teams inventory of the models, workflows, and agents running in production so policy can be enforced and audits passed.

Enforce policy and respond to incidents for AI-native systems

Continuous Offensive Security

Defends against automated AI attacks that chain multiple vulnerabilities autonomously at machine speed, where a contained vulnerability can become a full platform compromise before an analyst reads the alert.

Stop machine-speed attack chains before full platform compromise

Built for How AI Teams Work

The AI Security Platform integrates with the tools teams already use — IDEs, CI/CD pipelines, and AI coding assistants, including Claude Code, Cursor, and Codex.

Secure AI development inside existing IDEs, pipelines, and assistants

Measurable Security Outcomes

288% ROI from improved productivity, improved risk posture, and cost savings on consolidated solutions; 80% faster scan time; 75% faster remediation for issues prevented upstream; 52% reduced risk of a data breach compared to prior solutions.

Consolidate AppSec solutions and reduce breach risk

• AI-generated code securitySnyk positions itself as an independent security layer that continuously validates AI-generated code, governs development agents, and secures AI-native applications. The site states that 65–70% of production code is now AI-generated and nearly half contains vulnerabilities, and Snyk's platform is designed to secure the code AI writes, the agents it runs, and the applications it builds.
• Integration with AI coding assistants and developer toolsThe AI Security Platform integrates with IDEs, CI/CD pipelines, and AI coding assistants, including Claude Code, Cursor, and Codex. This allows security checks to fit into existing developer workflows.
• Transparent, credit-based enterprise pricingSnyk offers a credit-based platform for enterprise: buy credits at transparent rates and use them for any Snyk capability. The rate card lists 1 credit = $1, with specific credit rates per capability per day or per assessment, such as Code at 1.0 credits per active contributor per day and Evo COS - AI Pentesting at 4,000 credits per assessment.
• Demonstrated customer outcomes and consolidationThe site cites 288% ROI from improved productivity, improved risk posture, and cost savings on consolidated solutions with Snyk; 80% faster scan time than prior solutions; 75% faster remediation for issues prevented upstream; 60% faster remediation for runtime issues; and 52% reduced risk of a data breach compared to prior solutions. It also states customers consolidated 3 redundant AppSec solutions onto Snyk's platform.

• Pricing details are incomplete for small teamsThe pricing page describes simple flat-rate access for small teams but does not list specific prices for the Small teams plan. Enterprise pricing requires contacting sales or buying credits, and the full consumption details are referenced but not fully shown on the page.
• Credit expiration and usage tracking details are not fully specifiedThe FAQ asks 'Do my credits ever expire?' and 'How do I track my credit usage?' but the scraped content does not include the answers. Users should confirm these policies directly with Snyk.
• Competitor comparisons are listed but not detailedThe site lists Snyk vs GitHub Advanced Security, Snyk vs Veracode, Snyk vs Checkmarx, Snyk vs Black Duck, Snyk vs Wiz, and Snyk vs Aikido, but the scraped content does not provide the comparison details or claims behind these pages.
• AI security claims rely on third-party or internal metricsStatistics such as 65–70% of production code being AI-generated, nearly half containing vulnerabilities, and the ROI, scan time, remediation, and breach risk figures are presented on the site but their sources and methodologies are not included in the scraped content. These should be verified before relying on them.

Secure AI-Generated Code

65–70% of production code is now AI-generated — and nearly half contains vulnerabilities. Snyk secures the code AI writes, validating AI-generated code so organizations can move fast with AI without losing control.

Govern Development Agents

AI agents write code, invoke tools, and commit changes with no security checkpoint between inception and production. Snyk governs development agents and protects the AI workforce with an independent security layer.

Secure AI-Native Applications

Security teams have no inventory of the models, workflows, or agents running in production. Snyk governs every AI app you build, securing AI-native applications from inception to production.

Defend Against Automated AI Attacks

AI attacks chain multiple vulnerabilities autonomously — no human in the loop. Snyk provides continuous offensive security and an independent security layer that continuously validates AI-generated code.

Create a free Snyk account and connect your GitHub organization.

Add the Snyk GitHub app to the repos you want to scan.

Configure a policy to define severity thresholds and auto‑fix rules.

Review the first auto‑generated pull request and merge to apply the fix.