Securing
The DevSecOps AI Lab helps you safely integrate AI-powered tools into their software development lifecycle. From secure code generation and AI-assisted scanning to automated documentation and intelligent alerting, we help teams embed AI across the SDLC — while maintaining control, governance, and trust.
As AI tools become more common in engineering workflows, so do the risks. We assess each tool’s behaviour, data handling, and integration impact — ensuring only secure, compliant, and effective solutions make it into your pipelines.
AI in the SDLC
We enable secure adoption of AI tooling across every stage of development — including AI-assisted coding, threat modelling, test generation, CI/CD automation, infrastructure-as-code, and observability. Our goal is to enhance, not replace, your existing DevSecOps maturity with smart augmentation.
AI Tooling Assessment & Deployment
Our team rigorously tests, benchmarks, and red-teams AI tools before deploying them into live developer environments. We simulate real-world usage, validate outputs, assess data privacy handling, and monitor for hallucinations or unsafe behaviours. Only after passing these checks do we integrate tools into your SDLC — and we continue monitoring post-deployment for performance, reliability, and risk.
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