Application SecuritySupply Chain Security
Cycode
ASPM and software supply chain security platform with agentic AI triage and remediation.
Cycode Overview
What it does
Cycode is an Application Security Posture Management (ASPM) and software supply chain security platform that pairs native scanners for SAST, SCA, secrets, containers, and infrastructure as code with findings ingested from third-party AppSec tools. Its distinguishing mechanism is the Context Intelligence Graph, a single risk model spanning code, pipelines, cloud, and AI development activity, paired with Maestro, an orchestration layer that directs specialized agents to triage, investigate, and remediate findings.
How it works
ConnectorX ingests and normalizes findings from more than 100 connectors spanning source control, CI/CD, cloud platforms, artifact registries, and third-party scanners into the Context Intelligence Graph, where alerts are correlated, deduplicated, and prioritized by business risk, exploitability, and severity. Reachability analysis confirms whether a vulnerable dependency is actually executed before it is prioritized. Maestro coordinates agents, including an exploitability agent and a fix and remediation agent that opens pull-request-ready fixes, while AI Guardrails intercept secrets, prompts, and tool calls at the IDE boundary and the Cimon module hardens builds. Findings route to developers through IDEs, pull requests, and ticketing integrations.
Credentials and traction
SOC 2 Type II audited, ISO 27001 certified, and CSA STAR Level 1 attested. Cycode was named a Leader in the 2026 Gartner Magic Quadrant for Software Supply Chain Security, the report's inaugural edition, and a Leader in the 2025 IDC MarketScape for Application Security Posture Management (ASPM). Named customers include UBS, Broadcom, Unity, Zebra Technologies, and Solaris, with Fortune 500 enterprises among its install base.
Key Capabilities
mapped to solution categoriesIngests and normalizes findings from multiple AppSec tools (SAST, DAST, SCA, container scanning, secrets scanning) into a single unified finding model with a consistent severity scale across sources.
Groups findings from multiple tools that refer to the same underlying vulnerability in the same code location, presenting one actionable finding instead of multiple redundant alerts.
Scores aggregated findings using multiple contextual factors (exploitability, reachability, internet exposure, threat intelligence, and business criticality) rather than individual tool severity ratings, producing a single actionable priority queue across all AppSec signals.
Pushes prioritized findings to developer ticketing (Jira, GitHub Issues, Linear), and IDEs with remediation context, removing the security team from the routing path.
Maps aggregated AppSec findings and scan coverage to regulatory and framework controls (PCI DSS Requirement 6, ISO 27001 Annex A.8.28, SOC 2), and generates audit-ready evidence and compliance reports across the application portfolio.
Links each finding to the specific code, component, or pipeline that introduced it and traces it from source through build to the deployed runtime, so teams can fix the underlying cause and see which projects contribute the most risk.
Maintains a registry of all applications in scope, their associated scan coverage, and their AppSec tool assignments, surfaces applications with no active scanning.
Scores dependency vulnerabilities by whether the vulnerable function is reachable in the actual application execution path, not just present in the dependency tree, reducing the actionable finding list to confirmed code-level exposures.
Integrates and triggers AppSec scanners across the pipeline, controlling which tests run at each stage (pull request, build, release) according to organizational policy rather than leaving each tool to run on its own schedule.
Assessment and policy enforcement of CI/CD pipeline configuration, access, and integrity.
Assessment of developer and machine identity access and permissions across source control and pipelines.
Live visibility into code, components, pipelines, and developer activity across the software development lifecycle.
Verification of build integrity and artifact provenance through signing, attestation, and change attribution.
Risk context for open-source dependencies including reachability, exploitability, and upgrade impact.
Detection and provenance tracking of AI and ML components, models, and LLM usage within the software supply chain.
Compliance
certificationsIntegrations
compatible toolsImplementation & support
Info last updated on July 31, 2026
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