AI DevSecOps with Detoxio AI

As AI becomes embedded in critical systems and user-facing applications, securing it can’t be an afterthought. AI DevSecOps is the practice of integrating security into every phase of the AI development and deployment lifecycle—from training and testing to inference and monitoring.

What is AI DevSecOps?

AI DevSecOps extends traditional DevSecOps by embedding AI-specific security checks throughout the pipeline:

• During prompt and dataset design

• In model training and fine-tuning

• Across agent flows and tool integrations

• At runtime inference, where model outputs are exposed to users and systems

This ensures that AI systems are continuously tested, evaluated, and hardened against real-world threats such as jailbreaks, hallucinations, prompt injection, and misalignment.

Detoxio’s Role in AI DevSecOps

Detoxio provides the core infrastructure for AI DevSecOps:

• Red Teaming at Build Time
  Integrate LLM and agent red teaming directly into CI pipelines and development workflows.

• Evaluator-Based Testing
  Use model and rule-based evaluators to verify prompt behavior and output quality before deployment.

• SecOps at Runtime
  Monitor deployed AI systems in real-time using safety models, policy enforcement, and observability hooks.

• Compatible Across Ecosystem
  Works with OpenAI, Azure AI, Vertex, Bedrock, LangChain, Hugging Face, GitHub Actions, and more.

End-to-End Security for AI

AI DevSecOps ensures that AI isn't just performant—but safe, reliable, and accountable from the start. Detoxio empowers teams to shift security left into development and right into production.