Agentic Code Scanning

Use AI to find vulnerabilities before attackers do. Cycode’s Agentic Code Scanning leverages LLMs to identify business logic and AI-application flaws traditional SAST scanners miss.

Trusted by Fortune 500 enterprises to secure the software the world depends on

Find Code Vulnerabilities Traditional Scanners Miss

Security is no longer about matching known-bad patterns in isolated files. It is about reasoning across an entire codebase the way a security engineer would, catching the business logic and authorization flaws that have no signature, validating that each finding is genuinely exploitable, and doing it at the speed AI-generated code now demands.

Understand Code the Way
An Engineer Would

LLM Reasoning

LLM-powered analysis reasons about intent, control flow, and framework behavior across your whole codebase. It catches business logic flaws, broken authorization, and insecure AI-generated patterns that have no signature for a rules engine to match.

Confirm Exploitability
Before You Triage

Validated Findings

Every finding is reasoned through for exploitability, not just flagged. Agentic scanning traces whether tainted input truly reaches a sink and suppresses what is sanitized upstream, so developers see real risks instead of probabilistic guesses.

Holistic Code Security
Harness & System

Better Together

Agentic scanning and Cycode SAST run as one system. Deterministic SAST guarantees repeatable, full-coverage scans of known risks. Agentic scanning reasons about flaws that have no pattern. Together they reach accuracy and coverage neither hits alone.

LLM Reasoning

Reasoning that reads the whole repo

Cycode reasons across your entire codebase, not just the file in front of it. It follows input through service boundaries, understands framework and auth conventions, and evaluates whether a path is genuinely reachable, catching the contextual flaws that pattern-based scanners were never designed to see.

Validated Findings

Reasoning You Can Trust, Not Just LLM Guesses

A raw language model catches a fraction of real vulnerabilities and floods you with false positives. Cycode grounds every LLM judgment in the Context Intelligence Graph and validates exploitability before a finding reaches a developer, turning probabilistic reasoning into results a team can stand behind.

Graph Grounding

Reason Grounded in Code-to-Runtime Context

Cycode delivers the one graph for every signal. Correlate across scans, identify adjacent vulnerabilities attackers can chain into high-risk exploits, quantify risk, and trace issues to owners and agents to anchor triaging and remediation in how your code actually fits together.

Cycode Agentic Code Scanning — Graph Grounding

Cycode AI

Reasoning That Connects To Real Resolution

Better detection requires faster remediation. You can’t increase the flood of alerts without addressing the bottleneck of fixing. Cycode AI puts agents to work triaging and remediating the instant risk appears, eliminating human constraints without surrendering human controls.

The Platform Architecture

Unify code risk into one Agentic Development Security Platform

One platform, one graph, one agentic engine. Cycode unifies control, context, and autonomy in a single architecture that integrates into the tools your developers, security teams, and AI agents already use.