Security Business Intelligence Big Data for Faster Detection/Response
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1 Security Business Intelligence Big Data for Faster Detection/Response SESSION ID: STU-R02B Stacy Purcell Security Architect Intel/IT
2 Legal Notices This presentation is for informational purposes only. INTEL MAKES NO WARRANTIES, EXPRESS OR IMPLIED, IN THIS SUMMARY. Intel and the Intel logo are trademarks of Intel Corporation in the U.S. and/or other countries. * Other names and brands may be claimed as the property of others. Copyright 2013, Intel Corporation. All rights reserved. 2
3 A taste. 10 min. FIVE HUNDRED IOCs 365 days TWO TRILLION EVENTS TODAY 1 day TWO HUNDRED BILLION EVENTS
4 Agenda History & Philosophy Architecture Big Data Fast Detection Use Cases Challenges & Next Steps
5 Nimda & Code Red Pani Incident Perspective Protect to Enable 2010 Operation Aurora 2011 Risk Disclosure 2012 Pani Case Former employee pleads guilty to stealing Intel documents April 9, 2012 Former Intel engineer Biswamohan Pani pleaded guilty Friday in U.S. Federal Court in Massachusetts to stealing Intel chip manufacturing and design documents shortly before he went to work for AMD in 2008.
6 Purpose Provide a set of detective controls and decision support systems to help balance the gaps in our preventative controls and enable new security controls to minimize the increasing risk to the enterprise. Types Of Cyber Events Analyzed Brute Force Login Attempts Identity And Personal Data Theft Denial Of Service Attacks Malicious Proxy Activity Server Anomalies Endpoint Malware Detection
7 Privacy Evolving from focusing on individual SBI use cases to focusing on entire SBI system, data lifecycle and governance model Established privacy controls framework that defined common requirements for system components and data sources Privacy plans established for specific use cases and SBI data sources Use limited to Cyber Security Threat Management & Incident Response New use cases and access must be approved by CSO/CPO and Chief Privacy & Security Legal Counsel Developing a tiered privacy control framework as SBI evolves
8 SBI Capability Stack Reporting Workflow Automation Advanced Analytics Real-time Correlation Custom Analytics (XDW) Common Logging Service (CLS)
9 SBI Suite of Capabilities Extraction & Load Data Warehouses SBI solutions Proxy DNS DHCP AD Mgmt. Platforms Security Sensor CLS XDW RSDW Operational Reports (Example: Malware Metrics) Dashboards Analytical reports Contextual Real-time Correlation Predictive Analytics Platform Advanced BI (Server Anomalies)
10 SBI 2013 Core Capability by the Numbers Real-Time Correlation Compute and Storage 316 cores ~80TB storage* Events 70M events/day 30 day rolling window 22 event sources * Storage numbers assume compression with 4X typical for CLS and 10X for RTC Reporting Real-time Correlation Workflow Automation Common Logging Service (CLS) Compute and Storage 236 cores ~3.5PB storage* Advanced Analytics Custom Analytics (XDW) Events 7 Billion events/day 2Trillion+ total events 1 year rolling window 23 event sources XDW/ Custom Analytics Compute and Storage 104 cores ~128TB storage* Events ~700M new events/day ~60M events scanned/hour day rolling window 4 event sources plus 9 contextual sources
11 Scaling for Big Data Distilling large volumes of events to focus on the actionable items a b BILLIONS MILLIONS CQ THOUSANDS HUNDREDS TENS DATA SOURCES EVENT PROCESSOR ANALYTICS CORRELATION WORKFLOW
12 SBI Value Real-Time Correlation New Sources/ New Rules Access Protection/ AV Proxy: Malicious Sources Proxy: Outbound Data/Botnets OSINT Reporting Real-time Correlation Workflow Automation Common Logging Service (CLS) Advanced Analytics Custom Analytics (XDW) XDW/Custom Analytics Malware Metrics DSS reports malware Server Anomalies Regular external communication AAA My Security Alerts Uncovered significant IT Hygiene issues External Presence, Internal Cloud, Authentication, Connectivity, Brute Force Login, Elevated privilege logins, Identity Theft, DoS, Server Anomaly, DNS and DomainFlux connections, Endpoint Malware Detection Response 99% TPT reduction 1 Tool, 1 Process C2 IOC match <5 Minutes Fact Table/Order 1 Search
13 Security BI Risks & Challenges Privacy more data at risk Potential mining of the data for IP theft or harm Big data requires new big data tools Big data can slow forensics As devices get smaller more data pushed to the cloud
14 Next Steps My Security Alerts Database Activity Monitor Comprehensive Coverage Rapid Response
15 Getting Started Start small Start focused Grow value based on design goals Build a team Every organization has a different risk posture, all organizations require customized analysis.
16 Resources Information Security Protect to Enable Strategy video Learn more about Intel IT s initiatives at:
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