grimly.ai's REAPER engine is a multi-layered real-time protection system designed specifically for GenAI and LLM-based applications. Built for precision, speed, and resilience against modern AI threats.
Every user input undergoes aggressive normalization: lowercasing, Unicode normalization, whitespace and symbol stripping. Tokenization follows, segmenting the input into logical entities for faster scanning.
REAPER uses Trie trees and rule-based matching to instantly detect known threat patterns, malicious sequences, and character obfuscations without heavy computational cost.
Beyond exact matches, REAPER employs lightweight vector embeddings to measure the semantic similarity of prompts against a curated corpus of known exploits and evasion techniques.
Based on input characteristics, REAPER dynamically applies context-sensitive rules — including prompt blocking, request throttling, inline sanitization, and escalation to human review if needed.
Feedback from blocked, flagged, and borderline cases feeds a self-tuning system that refines detection thresholds and updates semantic databases automatically.
Every event — blocked, modified, flagged, or allowed — is logged with full telemetry, enabling forensic analysis, audit trails, and live dashboards for enterprise customers.
Normalization → Pattern Matching → Semantic Detection → Rule Enforcement
Protect your AI applications with cutting-edge, real-time threat detection and blocking technology.
