Cycode
Secure and govern AI-generated code from prompt to runtime with agentic development security.
Cycode is the most complete platform for securing AI-driven development in large enterprises. Its agentic remediation and context graph give security teams a real edge on vulnerability response. But there’s no transparent pricing, so smaller orgs should look elsewhere. If you need agentic security with AI-powered remediation and deep context, Cycode is worth a serious look; otherwise, consider lighter-weight alternatives.
Verified 10d ago · liveness 67/100 · cite: rightaichoice.com/tools/cycode
- Large enterprises adopting AI coding assistants, needing visibility and governance over shadow AI and MCP servers
- Security teams seeking a unified platform for AST, SSCS, ASPM, and ADLC scanning with AI-driven remediation
- CISOs wanting agentic security teams (Maestro) to automate vulnerability triage and PR-ready fixes
- Organizations requiring context-rich risk correlation across ownership, reachability, and blast radius
- Teams without AI coding tool adoption, as core features focus on AI governance
- Small companies with limited budget or need for self-serve pricing—Cycode is sales-led
- Those seeking a lightweight, single-purpose SAST or secrets scanner without platform complexity
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Skip Cycode if you are a small team or a startup with limited budget, if you don't yet use AI coding tools, or if you need transparent self-serve pricing—Cycode is sales-led and aimed at large enterprises.
Pricing is sales-led and based on active developer count and AI usage, so costs can escalate as your team grows or AI usage increases.
Cycode's pricing is custom and sales-led, based on active developer count and AI usage. It suits large enterprises that need comprehensive coverage and can negotiate contracts. Smaller teams may find more predictable, published pricing with competitors like Snyk or GitGuardian.
In short
Cycode — Secure and govern AI-generated code from prompt to runtime with agentic development security. Best for Large enterprises adopting AI coding assistants, needing visibility and governance over shadow AI and MCP servers, Security teams seeking a unified platform for AST, SSCS, ASPM, and ADLC scanning with AI-driven remediation, CISOs wanting agentic security teams (Maestro) to automate vulnerability triage and PR-ready fixes. Contact Sales pricing.
What people actually say about Cycode — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
36 mentions across 5 sources (Hacker News, YouTube, Product Hunt, Bluesky, Lemmy) · researched Jul 27, 2026.
Average across the 5 sources that answered — each source counts once, not each post.
- +Comprehensive AI visibility and governance across development lifecycle.
- +Maestro agents autonomously triage, confirm exploitability, and fix vulnerabilities.
- +Context Intelligence Graph correlates risk across dev ecosystem.
- +Integrates with 120+ tools, covering CI/CD, cloud, and code repos.
- +Strong ecosystem for AI-generated code detection and AI-BOM tracking.
- −No transparent pricing; likely prohibitively expensive for small teams.
- −Almost no independent user reviews to validate marketing claims.
- −Steep learning curve for teams not already using advanced AppSec tools.
- −Reports primarily highlight AI risks, leaving legacy security untreated.
- −Enterprise sales process may frustrate teams wanting self-service.
- • No public pricing; likely requires annual contract and professional services
- • Cost scales with developer count and AI usage
Viability Score
How well maintained and how widely used is Cycode? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- AI Visibility & Governance for shadow AI and MCP server discovery
- AI Guardrails enforce security policy at code creation in IDE and PR
- AI-BOM (Bill of Materials) generation and tracking
- SAST & AI SAST scanning for deterministic code analysis
- Software Composition Analysis (SCA) for open-source dependencies
- Secrets and Non-Human Identities (NHIs) detection
- Container Security scanning for registry and runtime
- Infrastructure as Code (IaC) security scanning
- CI/CD Security with pipeline posture and runtime protection
- Code Leakage Detection across source control and CI/CD
- SBOM and AI-BOM generation for supply chain transparency
- Maestro agent orchestration for triage, exploitability confirmation, and PR creation
- Context Intelligence Graph for correlated risk assessment
- 100+ connectors for data ingestion
- No-code automation for security workflows
About Cycode
Cycode is an Agentic Development Security Platform (ADSP) built for large enterprises adopting AI coding tools. It secures the entire AI software development lifecycle—from the IDE and pull requests, through CI/CD pipelines, to runtime—so security teams can keep pace with AI-accelerated development without losing control. The platform is designed for organizations that need to manage shadow AI, enforce policies on AI-generated code, and reduce the risk of vulnerabilities introduced by AI assistants, as well as modern threats like MCP servers and AI-generated code vulnerabilities. At its core, Cycode converges multiple security disciplines—AST, SSCS, ASPM, and ADLC scanning—into a single control plane. This includes SAST and AI SAST, Software Composition Analysis (SCA), secrets detection, container security, Infrastructure as Code (IaC) security, CI/CD security, and code leakage detection. The Context Intelligence Graph correlates signals across these domains, giving security teams a unified view of risk that accounts for ownership, reachability, and blast radius, with AI reasoning to separate true risk from noise. Key capabilities include AI Visibility & Governance for discovering shadow AI tools and MCP servers, AI Guardrails that enforce policy at the point of code creation, and AI-BOM tracking for transparency into AI-generated assets. Maestro orchestrates purpose-built agents that triage, confirm exploitability, and open PR-ready fixes, delivering 17× faster MTTR for critical vulnerabilities. The platform also offers 100+ connectors, no-code automation, and custom dashboards for broad toolchain integration. Cycode is recognized as a Leader by analyst firms including Gartner, IDC, and GigaOm, and is trusted by Fortune 500 enterprises. It’s a solid choice for large organizations that need centralized governance plus machine-speed remediation. It’s less suitable for small teams or those looking for self-serve pricing, as Cycode uses a sales-led motion.
Behind the Verdict
Cycode differentiates itself by combining three pillars: Control, Context, and Autonomy. The Control pillar provides preventative guardrails across AI tools, prompts, and code at the point of creation, through features like AI Guardrails and AI Visibility. The Context pillar relies on the Context Intelligence Graph, which correlates signals across ADLC, AST, SSCS, and ASPM—avoiding the need for manual stitching. The Autonomy pillar uses Maestro, an orchestration layer that runs purpose-built agents for triage, exploitability confirmation, and PR-ready remediation. Strengths: - Comprehensive coverage across the entire AI development lifecycle, from prompt to runtime, including AI-specific features like AI-BOM and MCP server discovery. - 17× faster MTTR for critical vulnerabilities with AI remediation, and 94% fewer false positives in OWASP benchmarks, per vendor claims. - Strong analyst validation: named a Leader in Gartner Magic Quadrant for SSCS 2026, IDC MarketScape for ASPM, GigaOm Radar, and Frost Radar. - 100+ connectors for broad toolchain integration, and no-code automation for security workflows. Weaknesses: - Pricing is not publicly disclosed; it is sales-led and based on active developer count and AI usage, which can become costly for large teams. - No free tier or self-service trial; requires contacting sales for a demo. - Complexity may be overkill for smaller teams or those without AI coding tool adoption. Where it fits: Large enterprises with significant AI coding adoption, CISOs needing governance and visibility, and security teams wanting unified risk correlation and AI-driven remediation. Where it doesn’t: Small teams with limited budgets, those needing transparent pricing, or teams looking for a lightweight single-purpose scanner.
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Real-world workflow fit
Concrete scenarios for the personas Cycode actually fits — and what changes day-one when you adopt it.
Rolling out AI coding assistants to thousands of developers while maintaining security compliance.
Outcome: Gain full visibility and control over AI-generated code through AI Visibility and Governance, enforce guardrails in the IDE, and generate AI-BOMs for audit trails, reducing shadow AI risk.
Triaging a high volume of security findings across SAST, SCA, and secrets scanning.
Outcome: Use Maestro agents to automatically triage, confirm exploitability, and open PR-ready fixes, cutting MTTR by 17× and reducing manual workload.
Consolidating multiple security tools into a single platform to reduce friction and improve risk correlation.
Outcome: Unify findings from AST, SSCS, ASPM, and ADLC scanning into one dashboard with the Context Intelligence Graph, enabling better prioritization based on reachability and blast radius.
Use Cases
- Automatically detect and remediate secrets leaked in git history across thousands of repositories.
- Govern AI-generated code by enforcing guardrails and generating AI-BOMs for each agentic workflow.
- Prioritize and fix vulnerabilities using AI agents that assess exploitability and propose patches.
- Unify security findings from SAST, SCA, container, IaC, and CI/CD into a single risk-prioritized dashboard.
- Simulate the impact of code changes before deployment to prevent regressions and security incidents.
Limitations
- Pricing is not publicly disclosed; requires contacting sales.
- The platform is likely gated by active developer count and AI usage, which may be costly for large teams.
- Some advanced AI agent features may require specific plan tiers.
- No free tier or self-service trial details were found on the pricing page.
as of 2026-08-28
Verification history
We have re-verified Cycode 16 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
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Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where Cycode's pricing actually pencils out — and where peers do it cheaper.
Cycode's pricing is custom and sales-led, based on active developer count and AI usage. It suits large enterprises that need comprehensive coverage and can negotiate contracts. Smaller teams may find more predictable, published pricing with competitors like Snyk or GitGuardian.
Setup time & first value
How long it actually takes to get something useful out of Cycode — broken out by persona, not the marketing-page minute.
For a pilot, expect 2-4 weeks to integrate connectors, configure policies, and train teams, given the platform's breadth. For full enterprise rollout with custom dashboards and automation, plan for 1-3 months depending on complexity and scale.
Resources & Guides
- Resourcecycode.com
Blog
Sharing insights and experiences solving modern software supply chain security challenges
- Resourcecycode.com
Resources
Learn tips & tricks to protect and control your code from dev to production
- Resourcecycode.com
Cycode AI ROI Calculator
Try our ROI calculator to quantify the impact of using AI to help secure your pipeline. See how much you can save by reducing risks and manual efforts.
Tutorials & Learning

Cycode | Application Security for the AI Revolution
Cycode | Agentic Development Security Platform

Shift to AI Demo Webinar: How to embed security into AI development from prompt to runtime
Cycode | Agentic Development Security Platform

Cycode BlackDuck Integration
Cycode | Agentic Development Security Platform
Official links
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