Precision-Powered Security at Machine Speed
The ZeroThreat AI Engine is an autonomous security intelligence layer between your application and our DAST engine. It dynamically generates and verifies exploit payloads using a hybrid AI architecture, drastically improving scan depth, accuracy, and signal-to-noise ratio.
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Intelligent Payload Generation
Using a KNN algorithm, ZeroThreat AI vulnerability scanner intelligently selects the most relevant payloads for each identified request for precision. It uses a library of attack payloads for every detected request, which are compiled from:
- CVE Databases
- Vulnerability Disclosures
- Publicly Reported Attack Patterns
- Live Trend Analysis from CVE Details
Exploitation + Verification Using Multimodal AI
Every attack response is evaluated by a hybrid AI analysis model powered by GPT-4 Turbo and Gemini Ultra. This enables ZeroThreat AI pentesting to identify real vulnerabilities from noise and deliver actionable insights.
- Code-level vulnerability pattern recognition
- HTTP response to detect exploitation
- Secret and sensitive data leakage analysis
- False positive suppression
Continuously Evolving with Threat Intelligence
By analyzing global threat intelligence and vulnerability databases, ZeroThreat ensures that its scanning capabilities reflect the most critical and frequently reported CVEs. This helps detect and defend against high-risk vulnerabilities, including:
- Cross-Site Scripting (XSS)
- SQL Injection
- Memory Corruption
- Remote Code Execution
- Privilege Escalation
Key Technical Advantages
Context-Aware Payload Injection
Tailors payloads to request method, parameters, encoding type, and injection point, reducing redundant tests.
Exploit Signal Correlation
Correlates payload execution with response behavior to confirm vulnerability presence using behavioral indicators and metadata.
Adaptive Learning from Scan Results
Feedback loop updates internal ML models and payload strategy based on successful/unsuccessful exploit attempts.
Cross-Language Application Support
Scans and analyzes APIs and applications regardless of language or tech stack (Node.js, Python, Java, etc.).
Automated Login & Session Handling
Integrates with login flows, token-based auth, and multi-factor authentication for authenticated scanning coverage.
Secrets and Sensitive Data Detection
Detects exposure of API keys, tokens, credentials, and PII using advanced LLM-based classification and regex-enhanced filters.
Environment Isolation Awareness
Automatically adapts payload intensity based on dev/stage/prod settings to avoid disruption in live environments.
Multi-Protocol Support
Supports scanning of HTTP, HTTPS, and WebSocket endpoints—API, REST, GraphQL, and more.
Experience Your 24x7 AppSec Co-Pilot
Automatically detect and validate vulnerabilities with near-zero false positives. No noise, just real threats you can act on.