Mavs AI Runtime Prompt Security

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Mavs AI is a runtime prompt security layer built natively for AI. The primary goal of the Mavs AI guardrails is to give enterprises full, secure access to frontier models instead of blocking prompts. This is enabled by proprietary technology that: - Identifies sensitive data and replaces it with synthetic data generated at runtime, so AI models get full context in prompts. In internal tests, this produced measurably better responses from frontier models than masking or tokenisation, while the real data stays with the enterprise. - Identifies and replaces not just regulated data like personally identifiable information (PII) and protected health information (PHI), but also business data such as proprietary data, trade secrets and intellectual property (IP). This lets enterprises power their most business-critical workflows with AI without leaking business knowledge. - Secures data without relying on keywords, through a proprietary AI risk engine. Teams don't have to maintain keyword lists, and false positives are greatly reduced. - Provides insight into AI adoption metrics and token management, in addition to risk tracking and an audit trail.