Building the Cyber Risk Intelligence Layer: From AI Models to Actionable Security – Srinivas Tummalapenta – RSAC26 #5

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Full Segment Notes
Key Moments
  • 0:00 - Introduction to Cyber Risk Intelligence Layer
  • 01:45 - Shift from Point-in-Time to Continuous Risk
  • 03:02 - Rapid Innovation with AI & 7-Week Sprint
  • 03:53 - Where Security Architecture Breaks Down
  • 05:57 - AI Consumption Models & Shared Responsibility
  • 06:41 - Combining AI Techniques: Agents, NLP, GNNs, LLMs
  • 09:11 - From Static Risk Assessments to Real-Time Insights
  • 09:55 - Building a Layered AI Security Architecture
  • 10:45 - Breaking Down Silos with Interoperability
  • 11:33 - Normalizing Security Data Across Systems
  • 13:51 - Using Data Efficiently for Risk & Compliance
  • 15:33 - Mapping Telemetry, Controls & Risk Exposure
  • 16:40 - Managing Global Regulations & AI Policies
  • 18:12 - Risk Quantification & Business Context
  • 20:03 - Inside the Cyber Risk Intelligence Layer
  • 22:10 - Beyond SIEM & GRC: A New Security Model
  • 24:06 - Outcome-Driven Security vs Tool Sprawl
  • 25:08 - How Security Operations Will Change
  • 26:59 - Autonomous vs Human-in-the-Loop Security
  • 29:06 - Continuous Monitoring & Autonomous Controls
Guest
Distinguished Engineer & CTO, Master Inventor at IBM Cybersecurity Services

Srinivas is a technical leader and a subject matter expert in Information Security. Srini has degrees in Technology and Business Administration, and has a cumulative experience of 20+ years. As an IBM Distinguished Engineer he is a key technical leader for IBM XForce Protection Platform, Security Services. A believer in secure by design concepts, he has incorporated automation to enable security technologies and services at cloud speed delivered through IBM Cloud Security Services. He works with a team at IBM Security Services to design, deliver, and scale security solutions throughout the client base.

Srini has 5 patents and has various filings in areas of security analytics, threat monitoring and response, and blockchain disclosures under review.

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