AI Security for the LLM era.

Deception has patterns. Whether an adversarial prompt is probing your AI or a fake account is stealing your audience, ImposterHunter detects the patterns before they reach you.

Two products. One detection engine.

▸ LLM Shield — Stop adversarial inputs before they reach your AI. One API call classifies any input — prompts, voice transcripts, MCP tool responses, RAG content, autonomous-agent traffic — and returns a risk score, the exact evidence span, and a recommended action. Mechanism-based detection, so novel and paraphrased attacks are caught the same way as ones you've seen before. Works with any LLM provider. Fail-closed by design.

▸ Social-Media Shield — Catch impersonators before they steal your audience or your revenue. Consent-based visual and multi-factor profile matching, automated and compliant takedown workflows, GDPR/CCPA-compliant data handling. 24/7 monitoring on TikTok today; Instagram and YouTube next.

The same science catches a prompt injection and a fake TikTok account, because deception has patterns regardless of the medium.

Built on AWS Bedrock. SOC 2 Type II in progress. Founder-led, operating across Dubai and Bucharest.

→ imposterhunter.com — see how detection works and book a 30-minute walkthrough.

ImposterHunter

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ImposterHunter

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