Rogue Security

🚀 Qualifire and Portkey just made production AI a lot safer and a lot simpler. This partnership combines Portkey's robust infrastructure for managing LLM applications with Qualifire's specialized evaluations and guardrails technology, giving enterprises the control and safety they need when deploying AI at scale. Here’s what this partnership unlocks: 🗝️ Real-time visibility into violations with full audit logs and behavioral patterns 🗝️ Coverage for the failures that actually break systems: prompt injection, PII leaks, hallucinations, policy breaches 🗝️ One integration point across providers, with enterprise-grade latency, accuracy and full visibility 🗝️ Built-in alignment with routing, fallback, and retry strategies to keep systems stable under load This partnership gives enterprise teams a scalable way to deploy safe, compliant, high-quality AI without duct-taping tools together. If you’re deploying AI and need reliability without slowing velocity, this is your new default. Read more about this partnership here https://lnkd.in/eCzX92KY

Rogue finds the agent failures static tests miss, using dynamic multi-turn flows that simulate real users. Watch a quick demo to learn how it systematically tests, evaluates and identifies weaknesses in AI agents. Open source https://lnkd.in/eJ4vudUt

✨ 📣 We're excited to announce that Qualifire is now available on Amazon Web Services (AWS) Marketplace across three categories: AI Security, Observability, and AI Agents! What does this mean for you? 1. Streamlined Integration: Qualifire's SLM judges and evaluation capabilities integrate seamlessly with your existing AWS environment. 2. Enterprise-Grade AI Reliability: Our platform delivers reliability across the entire AI lifecycle with evaluation and guardrails at a fraction of the cost. 3. Real-Time Reliability: Qualifire's context-aware guardrails stop problems before they happen, ensuring your AI performs reliably from development to production. Discover Qualifire on AWS Marketplace today and take your AI initiatives to the next level! Want to learn more about how Qualifire can help you achieve reliable AI performance at scale? Let's chat!

We listened and delivered: Rogue biggest update yet; MCP protocol support is finally here. See on GitHub https://lnkd.in/ef9EMZX3 This release adds MCP with multiple transport options, so Rogue can now connect to and test your agent using MCP directly, no custom adapters needed. You get SSE and HTTP transports out of the box. Wrap your agent with an MCP server, point Rogue at it, describe what it should do, and watch the evaluator test it through real conversations. Same real-time visibility, same CI/CD integration, same support for OpenAI, Anthropic, Google models. Setup has not changed, one server with terminal, web, and CLI options, run it locally or add it to your pipeline with uvx. step-by-step guide here: https://lnkd.in/e5YBQhVy

Static Testing Catches Yesterday's Problems. Qualifire Finds Tomorrow’s Failures. Financial institutions can't afford a single logic failure. Our Rogue framework is a dynamic, adaptive testing engine that stress tests your agents against real-world chaos, finding the edge cases your golden dataset missed. We use proprietary SLMs optimized for specialized tasks like real-time risk detection and policy enforcement.

Is the cost of AI compliance and real-time risk detection holding back your deployment speed? Static tests and generic guardrails don’t cut it for complex agentic systems. Qualifire delivers adaptive, multi-turn evaluation and contextual guardrails using proprietary Small Language Models (SLMs). Get audit trails for compliance and stop multi-step failures before they hit your customers. Embed Small Judges, Avoid Re architecture.