AI can TARA
Automotive Cybersecurity Intelligent
Analysis Platform
Boost TARA with AI -- Secure your product with security expert knowledge
Auto-Generate TARA with AI
From Topology Maps to Actionable Risk Reports – All in One Intelligent Workflow
System Topology Analysis
Automotive E/E architecture visualization
Attack Tree Generation
AI-powered threat path modeling
TARA Risk Quantification
ISO 21434-compliant scoring
Product value proposition
4 Critical Pain Points in Traditional TARA Analysis
Low Efficiency Human Document Understanding
Manual extraction of system components and interfaces from technical documentation, taking 1-2 weeks per project with significant risk of missing critical information.
Individual Knowledge Limitation
Reliance on subjective brainstorming for threat identification, leading to inconsistent analysis results and limited ISO/SAE 21434 requirements coverage between different engineers.
product to market time
3-6 month project cycles for medium to complex vehicle TARA analysis, costing hundreds of thousands in labor and frequently delaying vehicle launch timelines.
Knowledge Reusability
Up to 70% duplicate work across projects as legacy TARA reports in PDF format cannot be effectively reused during system iterations or upgrades.
AIcanTARA Solution
AI Document Processing Engine
- •Interactive and editable data flow diagrams generated from uploaded documentation
- •Local deployment with fine-tuned LLMs for secure processing of confidential documents
Intelligent Threat Matching System
- •5,000+ pre-built automotive threat scenarios across 400+ vehicle components
- •Automated threat scenario matching with component assets
AI-Driven Risk Assessment Engine
- •Automated attack tree modeling for visualizing potential attack paths
- •Real-time risk calculation combining CVSS 4.0 with automotive-specific scoring
Enterprise Security Knowledge Platform
- •Intelligent activation of historical TARA documents into structured data flows and component lists
- •Threat-Asset-Countermeasure" knowledge graph for seamless cross-project knowledge transfer