Secure AI Systems Engineering
Build and ship AI products safely—Secure AI SDLC, LLM/RAG design, model and data controls, and agentic security engineering.
Secure AI SDLC, LLM and RAG design, model and data protections, and agentic controls.
What teams tell us
- We are shipping LLM, RAG, or agent features without secure AI SDLC
- Prompt injection and data leakage risks are unclear at design time
- Agents can call tools—we need permission and approval models
- We need design gates before AI components reach production
- Assessment after launch cannot fix architectural AI flaws
Who starts here
What you gain
- Security requirements woven into AI feature design and release
- Controls for prompts, tools, data stores, and model endpoints
- Agent workflows reviewed for abuse cases and privilege boundaries
- Evidence for auditors and customers on AI risk management
Start here when AI is in the product you ship—not just in how developers write code. Enterprise packages often include this family.
Standards & frameworks
Risk catalog for LLM applications and integrations.
Security patterns for autonomous and tool-using agents.
Risk management framing for AI systems in production.
Adversarial tactics for machine learning systems.
Services in this capability
Explore individual offerings in this family.
How we engage
Scope AI surfaces
Identify LLM features, RAG pipelines, agents, and data flows in scope.
Threat model & requirements
Apply LLM/Agentic Top 10 and ATLAS-informed abuse cases.
Engineer controls
Implement guardrails, monitoring, and secure SDLC gates for AI releases.
Validate & operate
Red-team style tests and runbooks for model and agent incidents.
Enterprise engagements often combine Secure AI SDLC with agentic security when shipping customer-facing AI.
View Build Secure packagesFrequently asked questions
That use case fits AI-Assisted Development Security. This family applies when you ship LLM features, RAG, or agents to users or integrate models into production products.
We engineer secure AI delivery and can align with Assessment services for LLM/agent testing. Build Secure focuses on how you build and operate AI systems.
Yes. Secure AI SDLC is design-time; we cross-link to Assess & Pentest services for LLM, RAG, and agent validation before and after launch.
Related capabilities
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