Application security has reached an inflection point. The attack surface has expanded to include AI agents that now write code, select dependencies, and make decisions at machine speed. Citizen developers are more empowered but not more knowledgeable about security risks. And attackers wield the same technology to exploit vulnerabilities. This creates a triple threat: a wider attack surface, more code, and shorter exploit windows. The security model built for human-paced development cannot keep up.
Cycode is pleased to be named in Forrester’s The Agentic Development Security Tools Landscape, Q2 2026 report, which provides an overview of the agentic development security (ADS) risk landscape and the vendors securing it.
This is the first Landscape Forrester has published for ADS, a market that didn’t exist a year ago. Its emergence reflects a reality where securing AI-driven development requires a different platform, a different operating model, and a different kind of intelligence. Cycode’s Agentic Development Security Platform (ADSP) was specifically designed for this purpose.
Why Agentic Development Security Is a Critical Emerging Category
Forrester frames the shift clearly in a companion blog by Senior Analyst Janet Worthington, Agentic Development Security: Why AppSec Needs A New Operating Model:
“Software development itself is becoming agentic, generating insecure code at scale. Traditional application security (AppSec) models designed for human-paced development and discrete scanning stages are poorly suited to this reality. Securing agentic development requires controls that operate continuously, reason autonomously, and intervene in real time.”
That’s the brief. Continuous control. Autonomous reasoning. Real-time intervention. It is also a precise description of what Cycode has been delivering through ADSP, the Context Intelligence Graph (CIG), and Cycode Maestro.
What the Agentic Development Security Requires
Forrester outlines the capability themes that define Agentic Development Security platforms, including:
- AI-driven code and dependency analysis that assesses exploitability and logic flaws in context
- Guardrails for AI-assisted coding that prevent unsafe instructions from executing
- Intelligent triage and prioritization based on exposure and business impact
- Automated remediation that produces validated fixes
- Supply chain and toolchain protection across AI coding agents, MCP servers, extensions, skills, and artifacts
- Governance, reporting, and risk analytics that deliver durable insight over time
The category is still forming. The vendors who will define it are the ones who treat ADS not as a feature pack bolted onto a legacy scanner, but as a unified operating model designed for the Agentic Development Lifecycle (ADLC) from the ground up.
How Cycode’s ADSP Maps to the Agentic Development Security Model
Cycode’s Agentic Development Security Platform unifies Application Security Testing (AST), Software Supply Chain Security (SSCS), Application Security Posture Management (ASPM), and ADLC Security on a single graph, with a single agentic engine. Three pillars hold it up.
Control: Govern AI agents and AI-generated code before they reach production
Control is preventative by design. It operates before commit, before invocation, and before execution, not after the fact. Cycode’s ADLC Security module delivers the preventative layer the agentic era demands:
- AI Visibility auto-discovers shadow AI, coding assistants, and MCP servers across the development environment, eliminating the blind spots that come with unsanctioned 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, CLI, and AI coding tools, stopping unsafe outputs before they enter the codebase.
- AI Risk Detection scans for OWASP LLM Top 10 vulnerabilities in application code, surfacing the AI-specific weaknesses legacy SAST tools miss.
Underneath that, Cycode’s deterministic scanning foundation gives the AI layer something accurate to reason over: SAST with 94% fewer false positives, Next-Gen SCA with reachability, IaC scanning, Container Security, ML-powered Secrets Detection with NHI correlation, and CI/CD Security. Best-in-class precision on core scanning is not optional in the agentic era. It is the solid foundation on which everything else depends.
Context: Turn fragmented signals into prioritized, explainable risk
The Context Intelligence Graph (CIG) is Cycode’s semantic, relational, temporally-aware substrate, purpose-built for AI reasoning across the full ADLC. It converges signals from code, pipelines, dependencies, cloud, runtime, and identity into a single shared graph with native lineage from commit to runtime. Ownership, reachability, blast radius, and decision history are baked into every signal, not bolted on after the fact.
Forrester captures why context matters now, writing, “The value is no longer in how much you detect but in how well you understand and act on what you detect.” Context is the difference between an alert and a decision. The CIG is how Cycode makes that difference operational.
Autonomy: Deploy AI agents to keep pace with AI risks and AI threats
Cycode Maestro is the agentic security orchestration engine. Powered by the CIG, Maestro reasons across full ADLC context, orchestrates specialized AI Teammates, generates PR-ready fixes, and enforces policy-driven rules. Agents include:
- The AI Exploitability Agent, which determines whether a CVE or CWE is actually exploitable in the application context
- The AI Fix & Remediation Agent, which generates PR-ready fix diffs and drives 17× higher 90-day close rates for critical and high-severity findings
- The Change Impact Analysis (CIA) Agent, which delivers a risk assessment for every code change before merge
Maestro orchestrates AI Teammates as specialized virtual team members across the IDE, PR, CLI, and the Cycode platform, while the Cycode MCP Server extends CIG intelligence into AI-native developer tools in real time. This is not a chatbot wrapper on a scanner. It is agentic orchestration grounded in real context, with decision traces that create audit trails. Security must be as agentic as development; this is what that looks like in practice.
Securing Both Sides of the ADS Equation
What makes ADS distinct from the legacy AppSec category is that it has to solve two problems at once: Security for AI (governing the AI layer of the ADLC, including the tools, models, agents, MCP servers, and AI-generated code) and AI for Security (deploying AI agents to automate the security work itself). Cycode’s ADLC Security and Maestro capabilities are on the leading edge of both fronts.
We govern the AI your developers use. We deploy AI so your security team can keep pace. One platform. One graph. One agentic engine.
Where Agentic Development Security Goes Next
Inclusion in Forrester’s first Agentic Development Security Tools Landscape is meaningful precisely because the category is new. The vendors named are the ones helping define what comes after Shift Left.
The Agentic Development Security category will evolve fast. AI components like models, MCP servers, agent skills, IDE extensions, and plug-ins are entering the supply chain at a rate that exceeds human review capacity. The dependency surface is expanding. Agent intent and permissions need their own governance layer. AI threat modeling will move further left, into user stories and design documents.
Cycode is built for that trajectory. The CIG learns continuously. Maestro reasons across a widening context. Guardrails power enforceable controls as policy adapts to what the organization considers acceptable risk. The longer Cycode runs in your environment, the more it accumulates the context that makes self-protecting software development possible.
What comes next is a self-securing system: risk governed before it enters, understood when it appears, remediated by agents before it reaches production, and learned from so future exposure is less likely. That is the architecture we built. That is the platform organizations need to govern the AI era before it governs them.
See Cycode ADSP in action. Request a demo.
Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change. For more information, read about Forrester’s objectivity.
