AI Threat and Risk Detection

Tracing and Analytics for LLMs

Identify security flaws, unsafe configurations, and data leaks in your LLM pipeline before deployment.

Security traces

Get detailed records of your AI security posture and performance

Get a complete overview of your AI security posture across the organization.

Track the effectiveness and performance of security mechanisms in real-time.

Search across detailed logs of every request to your LLM applications and their security

Map your policies and controls to frameworks like OWASP, MITRE, and ISO

NeuralTrust logs the behaviour of your Generative AI applications to enable technical debugging, compliance, and investigation

Perform free text search on all contents, including prompts and responses. Apply 30+ filters to find exactly what you need.

Trace the exact inputs, outputs, and system calls of every execution for detailed debugging and explainability.

Get your entire dataset categorized for easy filtering and search. Define your own tags or use pre-defined ones.

Ensure alignment with global AI regulations such as the EU AI Act, AI Office Pact, and GDPR.

Gain insights into how users interact with chatbots, call centers, and other natural language platforms to deliver exceptional customer experiences.

Understand who uses your AI, assess their level of engagement, and gather actionable user feedback.

Identify relevant themes with precision, evaluate their performance, and uncover opportunities for improvement.

Track how themes and sentiments shift throughout a conversation, driving toward desired outcomes or key events.

Define custom metrics or choose from pre-built templates, including sentiment scoring, and communication style.

Do not leave vulnerabilites uncovered, make sure your LLMs are secure and reliable