AI agents now write code, invoke tools, and deploy at machine speed, while attackers wield the same technology. Legacy human-centric security tools were not built to secure AI development. The result is an impending influx of risk: more code, a wider attack surface, and faster moving threats.
To combat this, Cycode has released its Agentic Development Lifecycle (ADLC) Security product offering to secure AI-driven software development from prompt to runtime. Addressing the new class of risk introduced by coding assistants, autonomous agents, and AI-generated code, ADLC Security extends Cycode’s Complete platform with controls across the AI layer of the software factory, supporting Cycode’s vision of a single platform that unifies control, context, and autonomy for AI-driven development, enabling a self-protecting ADLC.
With the addition of ADLC Security, Cycode is now the only vendor to address both sides of the AI security equation: securing the AI layer of development (Security for AI) and deploying AI agents to automate security work (AI for Security). Cycode establishes control by governing which AI tools and models developers can use, blocking prompts that expose sensitive data and secrets, enriching agents with code-to-runtime context, and securing AI-generated code before it is committed. ADLC Security brings together four core capabilities under a single policy fabric:
- AI Visibility auto-discovers shadow AI, coding assistants, and Model Context Protocol (MCP) servers across the development environment, eliminating blind spots from unapproved AI use.
- AI Governance enforces policy-driven control over AI tools, models, and AI-generated code, with full AI Bill of Materials (AIBOM) coverage for SSDF, NIST, SOC2, and ISO 27001 compliance.
- AI Guardrails block risky patterns and prompt-leaking secrets in real time at the IDE, command line interface (CLI), and within AI coding tools, stopping unsafe outputs before they enter the codebase.
- AI Risk Detection scans application code for OWASP Large Language Model (LLM) Top 10 vulnerabilities, surfacing AI-specific weaknesses that legacy Static Application Security Testing (SAST) tools miss.
Every signal from the ADLC Security module flows into Cycode’s Context Intelligence Graph (CIG), the semantic, relational, temporally-aware substrate that powers AI reasoning across the platform. Cycode Maestro, the company’s agentic security orchestration engine, then triages, prioritizes, remediates, and prevents AI-driven risk, closing the loop between detection and action.
The launch builds on a year of category-defining momentum for Cycode. The company was ranked #1 for Software Supply Chain Security in Gartner’s 2025 Critical Capabilities for Application Security Testing, recognized as a Leader in the 2025 IDC ASPM MarketScape, and named a Leader in the 2025 Frost Radar™ for Application Security Posture Management (ASPM) for both Innovation and Growth. ADLC Security extends that platform foundation into the layer enterprises need most: AI.
The platform unifies AI Code Security, Software Supply Chain Security, Risk Posture Management, and ADLC Security under a single graph and agentic engine, correlating insights and coordinating autonomy across the entire software factory.
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