When we set out to integrate AI capabilities into Nemesis, our Breach and Attack Simulation platform, we faced a common challenge: how do you build a flexible AI agent that supports multiple LLM backends (including OpenAI, Claude/Anthropic, other future models) while exposing them through different user interfaces tailored to distinct workflows? The answer lay in creating a clean separation of concerns with two layers of abstraction : a backend interface that normalizes different AI...

We hear you! And we want to be more transparent about what we’re building. That’s why we’ve been working on these new updates. From...