『Ep110: Redefining Network Detection & Response with Generative AI – The Partnership of ExtraHop Networks and AWS』のカバーアート

Ep110: Redefining Network Detection & Response with Generative AI – The Partnership of ExtraHop Networks and AWS

Ep110: Redefining Network Detection & Response with Generative AI – The Partnership of ExtraHop Networks and AWS

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Kanaiya Vasani, Chief Product Officer, explains how ExtraHop leverages AWS services and generative AI to help enterprise customers address the growing security challenges of uncontrolled AI adoption.

Topics Include:

  • ExtraHop reinventing network detection and response category
  • Platform addresses security, performance, compliance, forensic use cases
  • Behavioral analysis identifies potential security threats in infrastructure
  • Network observability and attack surface discovery capabilities included
  • Application and network performance assurance built-in features
  • Traditional IDS capability with rules and IOCs detection
  • Packet forensics for investigating threats and wire evidence
  • Cloud-native implementations and compromised credential investigation support
  • ExtraHop partnership with AWS spans 35-40 different services
  • AWS handles infrastructure while ExtraHop focuses core competencies
  • ExtraHop early adopter of generative AI in NDR
  • Natural language interface enables rapid data access queries
  • English questions replace complex query languages for users
  • Agentic AI experiments focus on SOC automation workflows
  • L1 and L2 analyst workflow automation improves productivity
  • Shadow AI creates major risk concern for customers
  • Uncontrolled chatbot usage risks accidental data leakage
  • Governance structures needed around enterprise gen AI usage
  • Visibility required into LLM usage across infrastructure endpoints
  • AI innovation pace challenges security industry keeping up
  • Models evolved from billion to trillion parameters rapidly
  • Traditional security tools focus policies, miss real-time activity
  • "Wire doesn't lie" - network traffic reveals actual behavior
  • ExtraHop maps baseline behavior patterns across infrastructure endpoints
  • Anomalous behavioral patterns flagged through network traffic analysis
  • MCP servers enable LLM access through standardized protocols
  • Stolen tokens allow adversaries unauthorized MCP server access
  • Machine learning identifies anomalous traffic patterns L2-L7 protocols
  • Gen AI automates incident triage, investigation, response workflows
  • Best practices include clear policies, governance, monitoring, education


Participants:

  • Kanaiya Vasani – Chief Product Officer, ExtraHop Networks


See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/


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