In software, we rely on alerts and telemetry to detect issues in production code.
At Markprompt, we’ve been thinking a lot about how to create similar safeguards for LLMs.
For enterprises, a key concern when using AI in customer service is that LLMs might ignore instructions, especially in highly regulated industries. This is a non-trivial issue, and it is tied to the non-deterministic nature of LLMs.
A financial institution, for example, cannot risk a chatbot providing advice it’s not supposed to. Even with clear instructions and strict guardrails, there’s always a possibility that some combination of factors might drive the AI to break the rules.
That’s why we are introducing our Policy Violations Detection feature. It covers:
- Real-time violation detection: Think of it as an integrated compliance officer that immediately flags breaches such as unauthorized information sharing or policy deviations, allowing you to immediately take action.
- Customizable rulesets: Whether it’s regulatory compliance or internal policies, the system is fully adaptable.
- Audit-ready reporting: Keep detailed logs of flagged violations and audit trails of policy changes, making it simpler to track and refine compliance over time.
We’re excited to see how this new feature will help enterprises maintain tighter control and build ongoing trust in their AI systems.