Runtime Security for AI
Moderation and Policy Engine
Moderation and Policy Engine
Define and apply custom moderation rules to your LLM applications filtering unsafe, off-topic, or policy-violating content.
Define and apply custom moderation rules to your LLM applications filtering unsafe, off-topic, or policy-violating content.
The Moderation Policy Engine combines semantic, lexical, and LLM-based techniques to ensure maximum coverage and flexibility.
Catch subtle variants of disallowed content using semantic similarity, not just keywords.
Apply strict filters based on predefined terms, patterns, or domain-specific language.
Use lightweight models (like GPT-4 mini) to analyze edge cases with configurable logic.
Moderate both prompts and outputs without introducing friction or delays.
Seamlessly integrate with internal and external applications with just a simple line of code
NeuralTrust is designed to handle vast amounts of data, ensuring robust performance at scale
Decide whether to anonymize users or gather analytics without storing user data
Opt for our SaaS in the EU or US regions, or self-host NeuralTrust in your private cloud
Seamlessly integrate with internal and external applications with just a simple line of code
NeuralTrust is designed to handle vast amounts of data, ensuring robust performance at scale
Decide whether to anonymize users or gather analytics without storing user data
Opt for our SaaS in the EU or US regions, or self-host NeuralTrust in your private cloud
Mitigate risks before they escalate through Runtime Security
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