Enterprise AI Evaluation. Fully Managed.
Traditional testing tools treat AI like a simple question-and-answer box. In the enterprise, that's not where the risk lives. The real exposure is in autonomous agent execution: agents interacting with models, running background workflows, making API calls, accessing databases, and executing multi-step logic with no one watching.
GuidedSec provides a managed AI evaluation platform that monitors both front-facing chat interfaces and background agent behaviors. Instead of relying on generic public metrics, we work with your team to build a proprietary Ground Truth Dataset specific to your business. We then continuously measure your AI's real-world performance against it.
The GuidedSec Rule: If you aren't measuring complex agent execution against a rigorously engineered ground truth dataset, your production deployment is flying blind.
Validation Across Chats and Agents
Ground Truth Engineering - We work with your subject matter experts to build a high-signal dataset that defines exactly what "correct" looks like for your specific business logic. The result is a benchmark your team can trust, one that eliminates guesswork in how you measure model performance.
Agentic Execution - We continuously monitor long-horizon tasks, multi-turn logic paths, and autonomous API tool calling. If an agent starts drifting, executing unauthorized actions, or calling systems it shouldn't, you'll know before your customers do.
Prompt Resilience - We simulate multi-turn jailbreaks and adversarial injection attacks designed to trick your models. This isn't theoretical red-teaming. These are the actual attack patterns being used against production AI systems right now.
Data Leakage & PII - We run automated scanning across all outputs for unauthorized sensitive data, proprietary code leaks, and PII exposure. This keeps you in compliance with global data privacy and copyright requirements without relying on manual review.