Take the Red Pill: Becoming One
with Your Computing Environment
using Security Intelligence
Chris Poulin
Security Strategist, IBM
Securing Information Resources is a Multi-Dimensional Puzzle
People
Data
Applications
Infrastructure
Hackers
Outsourcers
Suppliers
Systems
applications
Web
Applications
Web 2.0
Mobile apps
Structured
Unstructured
At rest
In motion
It is no longer possible to define and protect the perimeter, but demands a focus on
protecting data. Point products are not sufficient to protect the enterprise.
Consultants
Terrorists
Customers
Getting Intimate with Your Computing Environment
How well do you know:
Applications? Owners? Activity patterns?
Where sensitive data resides?
Why Take the Red Pill?
How to Get There: Security Intelligence
Extensive Data
Sources
Deep
Intelligence
Exceptionally Accurate and
Actionable Insight
+
=
Suspected Incidents
Event Correlation
Activity Baselining & Anomaly
Detection
• Logs
• Flows
• IP Reputation
• Geo Location
• User Activity
• Database Activity
• Application Activity
• Network Activity
Offense Identification
• Credibility
• Severity
• Relevance
Database Activity
Servers & Hosts
Vulnerability Info
Configuration Info
Security Devices
Network & Virtual Activity
What is Security Intelligence?
Security Intelligence
--noun
1.
the real-time collection, normalization, and analytics of the
data generated by users, applications and infrastructure that
impacts the IT security and risk posture of an enterprise
Security Intelligence provides actionable and comprehensive
insight for managing risks and threats from protection and
detection through remediation
Activity and Data Access Monitoring
Visualize Data Risks
Automated charting and reporting
on potential attacks
Correlate System, Application,
& Network Activity
Enrich security alerts with anomaly
detection and flow analysis
Detect suspicious activity before it leads to a breach
Alert on data patterns, such as credit card
number, in real time.
Who is responsible for the data leak?
Customize Your Network Landscape for Contextual Visibility
User Activity Monitoring to Combat Advanced Persistent Threats
User & Application
Activity Monitoring alerts
on a user anomaly for
Oracle database access.
Baselining Complex Patterns
Complex patterns can be baselined
Configuration & Risk
Network topology and open
paths of attack add context
Rules can take exposure
into account to:
•
Prioritize offenses and
remediation
•
Enforce policies
Security Intelligence Timeline
Prediction & Prevention
Risk Management. Vulnerability Management. Configuration Monitoring. Patch Management. X-Force Research and Threat Intelligence. Compliance Management. Reporting and Scorecards.Reaction & Remediation
SIEM. Log Management. Incident Response.Security Intelligence Wrap-Up
Monitor all activity and correlate in real time
Reduce cost & complexity, lower TCO, compliance
Detect policy violations
Baseline against reality (CMDB)
Social media, P2P, etc.
Detect suspicious behavior
Privileged actions from a contractor’s workstation
DNS communications with external system
Detect APTs
File accesses out of the norm—behavior anomaly detection
Least used applications or external systems; occasional traffic
Detect fraud
Baseline credit pulls or trading volumes, and detect anomalies
Correlate eBanking PIN change with large money transfers
Forensic evidence for prosecution
IBM’s Security Intelligence, Analytics and Big Data portfolio
1
IBM QRadar
Security Intelligence
unified architecture for collecting, storing, analyzing and querying log, threat, vulnerability and risk related data
2
IBM Big Data Platform (Streams, Big Insights, Netezza)
addresses the speed and flexibility required for customized dataexploration, discovery and unstructured analysis
3
IBM i2
Analyst Notebook
helps analysts investigate fraud by discovering patterns and trends across volumes of data
4
IBM SPSS
unified product family toThank You!
ibm.com/security
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