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Because agents, copilots, and distributed teams are doing the building.
When a developer needs to understand how to implement a control, just-in-time training kicks in with relevant modules — right then. No generic courses. Just-in-time learning tied to the work.
Security requirements built for humans and AI.
Autonomous agents are already writing production code at companies like yours and they have zero security intuition.
Traditional AppSec tools assume a human is making decisions. Agent-driven development breaks that assumption. You need requirements that agents can consume programmatically, validation that doesn’t rely on human judgement, and proof that connects architecture to shipped code. That’s what SD Elements does.
Bring a real project or an existing threat model if you have one. We’ll walk through how requirements flow to your agents (and humans), how JITT trains developers when they hit a gap, how validation happens with your SAST, and what your audit trail looks like when compliance comes knocking.
It’s an end-to-end system that turns your application architecture into security requirements that AI agents, copilots, and human developers can follow — then validates implementation and produces audit-ready evidence.
Agents don’t have security intuition. They can’t “remember training” or “check the guidelines.” They need deterministic, programmatically-accessible requirements delivered in their workflow. SD Elements does that via the MCP server, so agents get the same security instructions every time — and you can prove they followed them.
You import a threat model or scan repository → SD Elements generates security requirements mapped to standards → Your agent/copilot/developer queries those requirements via MCP as code is written → If stuck, they ask Navigator for clarification or use Just-in-Time Training for relevant practice → Your integrated SAST validates the controls were implemented → SD Elements produces traceable proof for audits.
It eliminates the gap between “we told developers to do X” and “we can prove developers did X.” Especially critical when AI agents are writing code — because you can’t assume they read your security wiki.
SD Elements generates a project-specific set of deterministic security requirements based on your architecture and context, and maps them to relevant standards for traceability.
The MCP server lets your LLM or autonomous coding agent query SD Elements requirements in real-time. Instead of security being a separate checklist, it’s available at the exact moment code is being generated.
JITT provides just-in-time security training. When a developer encounters a requirement they don’t know how to implement, JITT kicks in with relevant courses tied to that exact control. It’s learning at the moment of need—not three months earlier in a generic course. This is critical for closing the gap between “we told them” and “they actually know how.”
No. SD Elements connects to your existing workflow — whether that’s humans pair-programming, your Copilot, or autonomous agents running overnight builds. The requirements come to the work.
Yes. If you already have a threat model, you can import it. SD Elements uses that to generate requirements instead of starting from scratch.
With SAST integrations you can check code against the requirements SD Elements generated. If a control was supposed to be implemented, your SAST tool confirms whether it’s there — closing the loop between “required” and “done.”
You get traceable, audit-ready evidence linking security requirements to code validation. Auditors can see what was required (from SD Elements), what was built (in your repo), and how it was verified (via your SAST). The full chain — automatically.
Your SAST catches it during validation. You’ll see which requirements weren’t implemented, can route those for human review, and still have evidence of what was checked. The system is designed to surface gaps, not assume perfection.
No. It’s designed for the full spectrum: human developers, developers using copilots, and fully autonomous agents. The point is that security requirements stay consistent regardless of who — or what — writes the code.
Those tools review code after it’s written. SD Elements starts earlier — generating requirements from architecture, making them accessible during code generation, and then validating afterward. It’s preventive + detective, not just detective.
It connects your LLM/agent to SD Elements via MCP, validates with ZeroPath AI SAST (or your traditional SAST tool), and fits into your existing development environment.
