Cycode — Agentic Development Security Platform for AI-driven development. Best for Fortune 500 enterprises securing AI-generated code at scale, Security teams needing unified visibility across AST, SSCS, and ASPM, Organizations adopting AI coding tools (Copilot, Cursor, etc.) requiring guardrails. Contact Sales pricing.
Fortune 500 enterprises securing AI-generated code at scaleSecurity teams needing unified visibility across AST, SSCS, and ASPMOrganizations adopting AI coding tools (Copilot, Cursor, etc.) requiring guardrailsTeams looking to reduce MTTR with autonomous remediation agents
Not ideal for
Small startups or individual developers seeking free or low-cost toolsTeams without CI/CD pipelines or mature developer workflowsOrganizations preferring best-of-breed single-point solutions over platform consolidationTeams that require on-premise deployment without cloud integration
If you're an enterprise grappling with the speed of AI-generated code and need a unified platform for prevention, context, and automated fixes, Cycode delivers. Its Context Intelligence Graph and Maestro agents set it apart for reducing MTTR and false positives, though its enterprise focus may overwhelm smaller teams.
When to pick this: When your organization has adopted AI coding tools and needs guardrails before production. The platform's three pillars—Control, Context, Autonomy—give you a single pane of glass for risk across the entire agentic development lifecycle. The Context Intelligence Graph correlates signals from AST, SSCS, and ASPM without manual stitching, which is a game-changer for security teams drowning in alerts. When to pass: If you're a small startup or a team with simple security needs, Cycode's breadth may be overkill. The platform is clearly built for Fortune 500 scale, with 160k+ repos onboarded in days at enterprise scale. Smaller teams might be better served with lighter, single-purpose tools. Comparison to closest alternative: Compared to Snyk or Checkmarx, Cycode's AI-native approach—like AI-BOM for shadow AI discovery and Maestro orchestration for automated PR-ready fixes—goes beyond traditional SAST/SCA. Snyk excels in developer-friendly interfaces, but Cycode leans into enterprise governance and autonomous remediation. Caveats: The platform's success hinges on proper integration into your CI/CD pipelines and developer workflows. The pricing is not public, so you'll need to contact sales for a quote. Real-world adoption by Fortune 500 clients like Cisco, Abbott, and Truist suggests it's battle-tested, but expect a significant onboarding and training lift.
Skip Cycode if Skip Cycode if you're a small team with fewer than 20 developers, a tight budget, or no immediate plans to adopt AI coding assistants in your workflows.
Latest from Cycode
We're gathering recent updates for Cycode from changelogs, press, Hacker News, and social. Check back in a day or two.
Viability Score
76/100
Safe Bet
How likely is Cycode to still be operational in 12 months? Based on 6 signals including funding, development activity, and platform risk.
funding runway
60
website health
90
github activity
50
category mortality
70
wrapper dependency
100
hyperscaler overlap
80
About Cycode
Cycode is the Agentic Development Security Platform (ADSP) that unifies control, context, and autonomy to secure AI-driven development. It is designed for Fortune 500 enterprises and development teams adopting AI-assisted coding. The platform's three core pillars—Control, Context, Autonomy—provide preventive guardrails, a Context Intelligence Graph for risk correlation, and Maestro AI agents for automated remediation. Specific features include AI visibility and governance, converged AST/SSCS/ASPM scanning, and AI-BOM for shadow AI discovery. Cycode uniquely integrates supply chain security, secrets detection, and CI/CD pipeline posture with deterministic scanning plus AI reasoning, validated by analysts as a leader in Gartner, IDC, GigaOm, and Frost & Sullivan market reports.
Researching Cycode? Skip the guesswork.
Tell us what you want to build — we'll match the AI tools that fit your goal, budget & existing stack.
Key Features
AI visibility and governance with AI-BOM
Preventive guardrails for agentic development
Context Intelligence Graph correlated risk
Maestro orchestration for automated remediation
Exploitability Agent for CVE reachability
Active Remediation Agent for PR-ready fixes
Change Impact Analysis on every merge
Graph Agent for natural-language ADLC queries
Cycode MCP Server for AI-native dev tool integration
Converged SAST, SCA, IaC, container scanning
Secrets detection and CI/CD pipeline posture
Real-world workflow fit
Concrete scenarios for the personas Cycode actually fits — and what changes day-one when you adopt it.
CISO at a Fortune 500 company
AI coding assistants are used by 500 developers, and the CISO needs to ensure AI-generated code is secure and compliant.
Outcome: Cycode's AI Visibility and AI-BOM provide a complete inventory of AI usage, while Guardrails block non-compliant code. The Context Intelligence Graph prioritizes risks across all repos, and the Maestro agent orchestrates automated fixes.
DevSecOps Engineer at a mid-size fintech
The team uses GitHub, Jenkins, and Terraform but struggles with alert fatigue from SAST and SCA findings.
Outcome: Cycode ingests findings via its 100+ connectors, correlates them in the Context Intelligence Graph, and uses the AI Exploitability Agent to flag only exploitable vulnerabilities. The Fix & Remediation Agent auto-generates patches, reducing manual triage by 70%.
Compliance Officer at a healthcare org
Need to demonstrate SSDF and supply chain security compliance for audits.
Outcome: Cycode's SBOM and AI-BOM generation, combined with CI/CD runtime monitoring, provide evidence of secure development practices. The Risk Intelligence Dashboard maps findings to compliance frameworks, simplifying audit reporting.
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.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Annual total
—
Contact sales for a quote
Effective monthly
—
—
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Cycode tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
ADLC Security
Contact sales
Ideal for
Enterprise DevSecOps teams needing visibility, governance, and guardrails for AI-generated code across the entire agentic development lifecycle.
What this tier adds
Starting tier focused on AI governance: AI Visibility, AI Governance, AI Guardrails, and AI-BOM; includes Change Impact Analysis and AI Code Risk.
Code Security
Contact sales
Ideal for
Teams focused on traditional application security scanning (SAST, SCA, container, IaC) for high-velocity AI development.
What this tier adds
Extends ADLC Security with deterministic scanning: SAST, SCA, Container Security, IaC Security, and AI-driven risk detection.
What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.
•Pricing is contact-sales only; no public tier prices available.
•Cost may scale with active developer count and AI usage—potentially expensive for large teams.
•Advanced AI agents (Maestro, Exploitability) may be gated behind higher-tier plans.
•No free tier or self-service trial; evaluation requires a sales call.
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 enterprise-oriented and opaque. It is not suitable for startups or SMBs that need predictable, low-cost security scanning. For smaller teams, Snyk's free tier or GitLab's built-in scans offer a more accessible entry point. Cycode's value proposition is for large enterprises where unified governance and AI agents justify the premium.
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 mid-size enterprise with existing CI/CD pipelines, initial deployment—integrating source control, CI/CD tools, and configuring scanning—typically takes 1-2 weeks. Full rollout with AI agents and governance policies can take 4-6 weeks depending on customization. A Fortune 50 customer reported unifying security across 8,000 repos in 48 hours with Cycode (per homepage case study).
Switching to or from Cycode
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Migrating in
→From Snyk: Import Snyk findings via ASPM Marketplace connector to unify SCA and secrets results in Cycode.
→From Checkmarx: Migrate SAST rules and historical findings using Cycode's API; run parallel scans during transition.
→From GitHub Advanced Security: Enable Cycode's GitHub connector to ingest code scanning and secret scanning results.
→From Veracode: Use Cycode's ConnectorX to ingest Veracode findings and prioritize them alongside other scanners.
Migrating out
↗To Snyk: Export SBOM and vulnerability data via API; manually reconfigure SCA scanning rules.
↗To GitLab Ultimate: Disable Cycode integrations and rely on GitLab's built-in SAST, SCA, and secrets scanning.
