Agentic code scanning
Agentic code scanning (AI SAST)
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.
See how our customers use Cycode to build and deliver secure applications
Agentic code scanning
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.
LLM reasoning
Understand code the way an engineer would
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.
Validated findings
Confirm exploitability before you triage
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.
Better together
Holistic code security system
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.
Business logic flaws
Catch broken workflows and privilege issues that no fixed rule or signature can describe.
Authorization gaps
Detect missing and broken access controls by reasoning about who should reach what across your codebase.
AI-generated code risk
Flag insecure patterns introduced by AI-generated code before they ship to production.
Cross-boundary data flow
Follow tainted input across services and repositories to find flaws no single-file scan can see.
AI created a new software
development reality.
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.
Exploitability validated
Each finding is reasoned through to confirm the risk is real before it reaches a developer.
Grounded in Context
Every judgment is anchored in the Context Intelligence Graph, not an isolated LLM guess.
Explainable every time
Each finding ships with the reasoning and evidence behind it, so teams can trust the result.
Low noise by design
Sanitized and unreachable paths are suppressed, so developers see real risks instead of false positives.
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.
From reasoning to real context
Every LLM judgment is grounded in the full graph of your code, not a single file view.
From finding to exact owner
Trace every issue to the owning team and service to anchor triage and remediation.
From flaw to platform risk
Quantify how each flaw chains into platform-level risk attackers can actually exploit.
Build securely with one connected platform.
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.
Exploitability Agent
Maestro validates whether an agentic finding is real and exploitable before it reaches a developer.
AI Remediation Agent
Agents triage and remediate the instant risk appears, without surrendering human controls.
Verified fix closure
Fixes are verified before findings close, so resolution is real, not assumed.
AI security that
stays ahead of AI threats
Cycode helps teams reason across the whole codebase, validate real exploitability, ground every finding in context, pair probabilistic depth with deterministic coverage, and orchestrate fixes fast.
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