Raj Koo, CTO of DTEX Systems, discusses how their enterprise-grade generative AI platform detects and disarms insider threats and enables them to stay ahead of evolving risks.
Topics Include:
- Raj Koo, CTO of DTEX Systems, joins from Adelaide to discuss insider threat detection
- DTEX evolved from Adelaide startup to Bay Area headquarters, serving Fortune 500 companies
- Company specializes in understanding human behavior and intention behind insider threats
- Market shifting beyond cyber indicators to focus on behavioral analysis and detection
- Recent case: US citizen sold identity to North Korean DPRK IT workers
- Foreign entities used stolen credentials to infiltrate American companies undetected
- DTEX's behavioral detection systems helped identify this sophisticated identity theft operation
- Generative AI becomes double-edged sword - used by both threat actors and defenders
- Bad actors use AI for fake resumes and deepfake interviews
- DTEX uses traditional machine learning for risk modeling, GenAI for analyst interpretation
- Goal is empowering security analysts to work faster, not replacing human expertise
- AWS GenAI Innovation Center helped develop guardrails and usage boundaries for enterprise
- Challenge: enterprises must follow rules while hackers operate without ethical constraints
- DTEX gains advantage through proprietary datasets unavailable to public AI models
- AWS Bedrock partnership enables private, co-located language models for data security
- Private preview launched February 2024 with AWS Innovation Center acceleration support
- Software leaders should prioritize privacy-by-design from day one of GenAI adoption
- Future threat: information sharing shifts from files to AI-powered data queries
- Monitoring who asks what questions of AI systems becomes critical security concern
- DTEX contributes to OpenSearch development while building vector databases for analysis
Participants:
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