AI brokers now write code, invoke instruments, and deploy at machine pace, whereas attackers wield the identical know-how. Legacy human-centric safety instruments weren’t constructed to safe AI improvement. The result’s an impending inflow of danger: extra code, a wider assault floor, and quicker transferring threats.
To fight this, Cycode has launched its Agentic Improvement Lifecycle (ADLC) Safety product providing to safe AI-driven software program improvement from immediate to runtime. Addressing the brand new class of danger launched by coding assistants, autonomous brokers, and AI-generated code, ADLC Safety extends Cycode’s Full platform with controls throughout the AI layer of the software program manufacturing unit, supporting Cycode’s imaginative and prescient of a single platform that unifies management, context, and autonomy for AI-driven improvement, enabling a self-protecting ADLC.
With the addition of ADLC Safety, Cycode is now the one vendor to deal with each side of the AI safety equation: securing the AI layer of improvement (Safety for AI) and deploying AI brokers to automate safety work (AI for Safety). Cycode establishes management by governing which AI instruments and fashions builders can use, blocking prompts that expose delicate knowledge and secrets and techniques, enriching brokers with code-to-runtime context, and securing AI-generated code earlier than it’s dedicated. ADLC Safety brings collectively 4 core capabilities below a single coverage cloth:
- AI Visibility auto-discovers shadow AI, coding assistants, and Mannequin Context Protocol (MCP) servers throughout the event atmosphere, eliminating blind spots from unapproved AI use.
- AI Governance enforces policy-driven management over AI instruments, fashions, and AI-generated code, with full AI Invoice of Supplies (AIBOM) protection for SSDF, NIST, SOC2, and ISO 27001 compliance.
- AI Guardrails block dangerous patterns and prompt-leaking secrets and techniques in actual time on the IDE, command line interface (CLI), and inside AI coding instruments, stopping unsafe outputs earlier than they enter the codebase.
- AI Danger Detection scans software code for OWASP Massive Language Mannequin (LLM) Prime 10 vulnerabilities, surfacing AI-specific weaknesses that legacy Static Utility Safety Testing (SAST) instruments miss.
Each sign from the ADLC Safety module flows into Cycode’s Context Intelligence Graph (CIG), the semantic, relational, temporally-aware substrate that powers AI reasoning throughout the platform. Cycode Maestro, the corporate’s agentic safety orchestration engine, then triages, prioritizes, remediates, and prevents AI-driven danger, closing the loop between detection and motion.
The launch builds on a yr of category-defining momentum for Cycode. The corporate was ranked #1 for Software program Provide Chain Safety in Gartner’s 2025 Important Capabilities for Utility Safety Testing, acknowledged as a Chief within the 2025 IDC ASPM MarketScape, and named a Chief within the 2025 Frost Radar™ for Utility Safety Posture Administration (ASPM) for each Innovation and Development. ADLC Safety extends that platform basis into the layer enterprises want most: AI.
The platform unifies AI Code Safety, Software program Provide Chain Safety, Danger Posture Administration, and ADLC Safety below a single graph and agentic engine, correlating insights and coordinating autonomy throughout the complete software program manufacturing unit.