Detect injection, jailbreaks, and bots in real time
5-layer threat analysis engine with 14 detection types, behavioral analysis, and AI-powered pattern recognition that stops attacks without blocking legitimate users.
<15ms
Full 5-layer analysis
14 Types
Comprehensive threat detection covering all known AI attack vectors
99.2%
Accuracy rate with minimal false positives on legitimate traffic
5-Layer Threat Analysis
Every request passes through our multi-layered detection system, combining fast heuristics with deep AI analysis for comprehensive protection.
Bot Detection
User agent analysis, timing patterns, and behavioral fingerprinting
Pattern Matching
Aho-Corasick algorithm with fuzzy matching and encoded content detection
User Risk Scoring
Historical behavior, reputation, and contextual risk assessment
Jailbreak Prevention
14 detection types with variant analysis and prompt manipulation detection
AI Analysis
LLM-powered semantic analysis for sophisticated attack detection
Unified Scoring System
All layers contribute to a weighted risk score with configurable thresholds and actions. Context modifiers adjust scores based on user history, request patterns, and organizational policies.
14 Comprehensive Threat Types
Injection Attacks
- Direct prompt injection with role manipulation
- Indirect injection via external content
- Context window poisoning attacks
Jailbreak Techniques
- DAN, STAN, and persona-based attacks
- Hypothetical scenario manipulation
- Multi-turn conversation exploits
Evasion Methods
- Base64, ROT13, and obfuscation techniques
- Unicode normalization exploits
- Language switching and translation bypasses
Bot & Automation
- Scraping and data extraction bots
- API abuse and rate limit circumvention
- Distributed attack coordination
Data Exfiltration
- Training data extraction attempts
- Membership inference attacks
- Model inversion and reconstruction
Advanced Persistent Threats
- Coordinated multi-session campaigns
- Behavioral adaptation and learning
- Social engineering integration
Intelligent Response Actions
Based on threat scores and organizational policies, Bastio takes appropriate actions while maintaining detailed audit trails for compliance and investigation.
Block & Alert
Immediately block high-risk requests and notify security teams via email
Auto-Quarantine
Automatically quarantine suspicious users with escalating restrictions and review workflows
Rate Limiting
Dynamic rate limits based on risk scores with exponential backoff for repeated violations
Enhanced Monitoring
Increase analysis depth and logging detail for users showing suspicious patterns
Target Protection Scenarios
Customer Support AI Use Case
Designed for e-commerce platforms to protect customer service AI from jailbreaks attempting to access customer data or generate harmful content.
- • Built to block jailbreak attempts
- • Target: 99%+ PII extraction bot detection
- • Designed to prevent coordinated scraping campaigns
- • Goal: Minimal false positives on legitimate queries
Financial Advisory Chatbot
Built for wealth management firms to secure AI advisors against attempts to manipulate investment recommendations or access sensitive client information.
- • Target: 99%+ detection of financial advice manipulation
- • Auto-quarantine for suspicious user behavior
- • Prevent unauthorized access to portfolio data
- • Support for SOC 2 compliance throughout deployment
Performance & Accuracy Metrics
Continuous Learning
Our threat detection models continuously learn from new attack patterns, security research, and customer feedback. Weekly updates ensure protection against emerging threats while maintaining high accuracy on legitimate traffic.
Stop AI Threats Before They Succeed
Deploy advanced threat detection that adapts to new attack patterns while maintaining lightning-fast performance for legitimate users.