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title: Agentic SDLC Risk Framework
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---
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<palign="center">
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<imgsrc="/img/R1_logo_round_white.svg"alt="Risk First Logo"width="120" />
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</p>
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# Agentic Software Development Risk Framework
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A risk framework for **agentic AI software development** — addressing the unique threats that emerge when humans employ AI systems to help write, modify, and deploy code.
A risk framework for **agentic AI software development** — addressing the unique threats that emerge when AI systems autonomously write, modify, and deploy code.
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## Why This Exists
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- Model lifecycle governance
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- Organizational accountability
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Conversely, this risk framework covers the exact use-case that AI is no longer just making decisions inside software — it is becoming the **primary producer and modifier** of software itself. This shifts risk from *"bad AI decision"* to *"unsafe evolving codebase"* — a completely different class of risk that current frameworks don't address.
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But AI is no longer just making decisions inside software — it is becoming the **primary producer and modifier** of software itself. This shifts risk from *"bad AI decision"* to *"unsafe evolving codebase"* — a completely different class of risk that current frameworks don't address.
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## Risk-First
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## Part of Risk-First
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This framework builds on [Risk-First Software Development](https://riskfirst.org) principles and can be navigated there as HTML (which provides a more joined up experience than just looking at these markdown files).
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This framework is part of [Risk-First Software Development](https://riskfirst.org) and builds on Risk-First principles. Navigate the framework at [agentic-software-development.riskfirst.org](https://agentic-software-development.riskfirst.org) for a more joined-up experience.
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See also: [Societal AI Risk Framework](https://societal-ai-risk.riskfirst.org) — addressing civilisation-scale risks from advanced AI systems.
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## What This Framework Covers
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### Threat Categories
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### Capabilities
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The capabilities of generative coding systems that create attack surface — Code Generation, Tool Calling, Execution, Autonomous Planning, Multi-Agent Orchestration, and more.
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### Risks
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Threats unique to or amplified by agentic software development — Code Security, Supply Chain, Autonomy & Control, Prompt Injection, Human Factors, and more.
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### Controls
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Practices and safeguards to address agentic risk.
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Risks unique to or amplified by agentic software development.
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## External Framework Mappings
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### Control Families
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Threats in this framework are mapped to established security and AI governance standards:
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Controls to address agentic risk.
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| Framework | Description |
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|-----------|-------------|
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|[MITRE ATLAS](https://atlas.mitre.org/)| Adversarial Threat Landscape for AI Systems |
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|[OWASP Top 10 for Agentic Applications](https://genai.owasp.org/resource/owasp-top-10-for-agentic-applications-for-2026/)| Critical security risks for autonomous AI (2026) |
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|[OWASP Top 10 for LLM Applications](https://genai.owasp.org/llm-top-10/)| Security risks for LLM applications (2025) |
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|[NIST AI RMF](https://www.nist.gov/itl/ai-risk-management-framework)| AI Risk Management Framework |
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|[NIST SSDF](https://csrc.nist.gov/Projects/ssdf)| Secure Software Development Framework |
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|[SLSA](https://slsa.dev/)| Supply-chain Levels for Software Artifacts |
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|[ISO/IEC 42001](https://www.iso.org/standard/81230.html)| AI Management System standard |
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### Capabilities
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##Schema & Validation
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The capabilities of generative coding systems that give rise to the threats.
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This framework uses schemas based on the [OpenSSF Gemara](https://gemara.openssf.org) project — a GRC Engineering Model for Automated Risk Assessment. Gemara provides a logical model for compliance activities and standardized schemas (in CUE format) for automated validation and interoperability.
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