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What is Agentic Development Security?
AI writes the code and AI attacks it — and traditional AppSec, built for human-paced development, can't keep up. Agentic Development Security (ADS) is the new operating model: prevent risk, fix what's already there, and operate the response across the AI SDLC, automatically and at machine speed. Here's the category Forrester defined — and how Heeler delivers it.
Detection is commoditized. Context is the differentiator.
In April 2026, Forrester named the shift. As AI agents generate code at machine speed and AI attackers weaponize flaws in minutes, scanning and triage no longer bound risk. ADS platforms don't just find problems — they prevent, prioritize, and fix them autonomously, in context.
Explore the Context Engine →Machine-speed development
AI agents ship code around the clock, faster than any team can review it — more code, less scrutiny, more exploitable paths.
Machine-speed attackers
The same AI chains low-severity findings into working exploits in minutes. The backlog you deferred is now a live attack surface.
A brand-new attack surface
The agents themselves — their skills, MCP servers, extensions, and pipelines — run with implicit trust. Compromised instructions become compromised software.
Heeler delivers the layers that decide whether risk actually goes down.
Forrester describes Agentic Development Security as a new security paradigm spanning prevention, detection, prioritization, remediation, policy, supply-chain protection, and continuous intelligence. Heeler brings the development-security layers together through one Context Engine across Prevent, Fix, and Operate.
The goal isn't more findings. It's less risk.
A finding isn't security — it's a to-do. Nothing is actually safer until the code changes and ships, and AI now generates vulnerable code faster than any team can remediate by hand. That's why remediation, not detection, is the defining capability of Agentic Development Security: the platform has to close risk automatically, or the backlog just grows. Heeler does — turning findings into validated, merge-ready fixes across your dependencies and your code, so your team ships secure software instead of triaging tickets.
See how Heeler fixes →See Agentic Development Security in action.
Connect a repo and watch Heeler prevent, prioritize, and fix risk across your AI SDLC — automatically, in your first session.
