Cycode

Profile

Cycode is an AI-native Application Security Posture Management platform that consolidates fragmented security testing tools into a unified solution for the software development lifecycle. The platform addresses enterprise security challenges where organizations typically deploy fifty or more security tools while struggling with tool sprawl, alert fatigue, and ineffective risk prioritization. Through its proprietary Risk Intelligence Graph technology paired with AI capabilities including exploitability analysis and automated remediation, Cycode enables security and development teams to identify, prioritize, and remediate software vulnerabilities while maintaining developer velocity. Backed by Insight Partners and YL Ventures with substantial venture funding, Cycode has achieved recognition as a leader in the ASPM market from Frost & Sullivan and IDC, serving Fortune 100 customers across regulated industries.

Focus

Cycode addresses the systemic fragmentation inherent in traditional application security approaches where enterprises operate dozens of disconnected security tools generating overwhelming alert volumes without effective risk prioritization. The platform solves the fundamental challenge of correlating security findings across the entire software development lifecycle, from code commit through production deployment, enabling organizations to focus remediation efforts on genuinely exploitable vulnerabilities rather than theoretical concerns. By unifying Static Application Security Testing, Software Composition Analysis, secrets detection, Infrastructure-as-Code scanning, and container security into a single platform with AI-driven risk intelligence, Cycode enables security teams and developers to achieve comprehensive visibility while eliminating the operational inefficiencies of point tool management. The platform serves security leaders, DevSecOps teams, and developers requiring actionable security insights integrated directly into existing workflows.

Background

Cycode was founded by Lior Levy, Ronen Slavin, and Dor Atias to address the inefficiencies of fragmented application security tooling through an integrated platform approach. The company raised substantial venture capital including a Series A round led by Insight Partners and a Series B round bringing total funding to approximately eighty million dollars, with continued participation from YL Ventures. The founding team maintains operational leadership with Levy serving as Chief Executive Officer, Slavin as Chief Technology Officer, and Atias as Chief Product and Engineering Officer. Notable customers include Unity, Solaris, Uphold, Jane Software, theScore, Zebra Technologies, and Nomi Health across gaming, financial services, healthcare, and enterprise technology sectors. The platform remains under active development with continuous feature enhancements and maintains recognition from industry analysts as a market leader.

Main features

Risk intelligence graph for contextual vulnerability correlation

The Risk Intelligence Graph represents Cycode's foundational architecture for understanding security risks across the software development lifecycle by mapping relationships between code repositories, build artifacts, deployed containers, runtime infrastructure, and security violations. Rather than treating vulnerability findings as isolated data points, the graph correlates findings from multiple scanning engines including SAST, SCA, container scanning, and Infrastructure-as-Code analysis with runtime context from Kubernetes clusters and cloud platforms. This correlation enables the platform to tag vulnerabilities as either deployed to production or exposed to the internet, transforming risk assessment from theoretical severity scoring into practical evaluation of actual business impact. The graph supports natural language queries enabling security teams to identify patterns such as vulnerable components in production or repositories bypassing security gates.

AI-powered exploitability analysis and automated remediation

Cycode embeds artificial intelligence directly into the platform architecture through an AI Exploitability Agent that automates determination of whether detected vulnerabilities are actually exploitable within specific application contexts. For SAST findings, the agent leverages data flow analysis and runtime context understanding to determine whether code weaknesses represent genuine risk, while for SCA findings it analyzes whether vulnerable dependencies are actually imported and executed by applications. This capability eliminates hours of manual security analysis by automatically distinguishing exploitable vulnerabilities requiring immediate remediation from theoretical concerns that can be safely deprioritized. The platform extends AI capabilities to remediation by generating intelligent code fixes incorporating application context and secure coding patterns, enabling developers to implement corrections directly within their development environments without requiring extensive security expertise.

Developer-centric security integration across workflows

Cycode prioritizes seamless integration into developer workflows through multiple touchpoints that bring security context directly into tools developers use daily, eliminating friction and context switching. Integrated Development Environment plugins for VS Code and JetBrains IDEs provide real-time security analysis as developers write code, enabling vulnerability identification before committing changes. Pull request scanning detects security issues during code review, presenting findings as inline comments with direct links to vulnerable code and suggested remediation steps. The Command Line Interface enables developers to execute security scans locally before pushing code to repositories, while pre-commit hooks automatically trigger scanning before commits are created. This shift-left approach reduces remediation costs by catching issues at the earliest possible stage when fixes require minimal effort.