BigData Analytics per la sicurezza delle Infrastrutture Critiche

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1 BigData Analytics per la sicurezza delle Infrastrutture Critiche Vincenzo Conti IBM Security Sales Consultant

2 Energy and utility organizations are at the forefront of attacks Utilities are among the most targeted verticals Organized cyber-crime, hacktivists, nation-states and exploit researchers New vulnerabilities are being discovered Security testing through injecting invalid, unexpected or random data (fuzzing) have uncovered dozens of vulnerabilities in critical infrastructure systems Exploits can be implemented through physical access to networks or through techniques like brute-force password hacking Internet connected devices and phishing Regulations provide guidance but do not protect against these recent exploits NERC CIP focus on IP communications, overlooking the real vulnerabilities that are present NIST CSF is process-based and voluntary ENISA Smart Grid Security Recommendations ENISA Protecting Industrial Control Systems BlackEnergy 2

3 The instrumentation of electric power systems is driving IT and OT convergence, which makes security more complex 3 3

4 The smarter approach: security transformation based on your business strategy Business outcomes Prioritized IT budget Utilize current architecture no rip and replace Operations optimized, eliminating unnecessary redundancies Transformational stages Incident response plan reduces downtime Enhanced situational awareness increases confidence of security and business decisions Reduce costs associated with breach Value Risk Assessment and Gap Analysis Strategize and Develop Roadmap Enhance Capabilities Integrate into Future State Preemptive Security Operations Continuous Optimization Proficient Baseline 4 Maturity

5 A view of a transformed security environment Current Environment Security Model based on Defense in Depth Security Operations Steady State and Reactive Security Analysis Manual and Fragmented Governance, Risk & Compliance IT and Compliance Focused Functional Domains IT, OT, Telecom, Physical Silos Transformed Environment Security Model based on Rapid Detection + Rapid Response Security Operations Elastic and Agile Security Analysis Analytics and Intelligence Governance, Risk & Compliance Enterprise Risk Management Functional Domains Converged 5

6 How? By integrating QRadar with IBM s Hadoop-based offering Security Intelligence Platform Big Data Platform IBM Security QRadar Data collection and enrichment Event correlation Real-time analytics Offense prioritization Advanced Threat Detection Data ingest Insights IBM InfoSphere BigInsights Hadoop-based Enterprise-grade Any data / volume Data mining Ad hoc analytics Custom Analytics Traditional data sources Non-traditional 6

7 Use case Detection of an internal compromised system Data Sources Firewall Router Real-time Processing Big Data Warehouse 5 6 Security Operations Big Data Analytics and Forensics QFlow Collector Hadoop Store Compromised System 7 Relational Store 8 7 Requirements Source: Netflow Sample Size: >100GB /src Query time: <30sec Analytics: Time interval and network flow size IBM Approach 1. Netflow extracted, sent to QRadar 2. Bi-directional flow processing 3. Correlation against external threats 4. Real-time flow analysis to the SOC 5. Enriched flows sent to BigInsights 6. Custom BigSheets queries / analytics 7. Post-processed data storage 8. i2 time-based visuals / analytics 9. Update of QRadar real-time rule sets

8 Statement IBM Security of Good for Systems Security Energy and Practices: UtilitiesIT system security involves protecting systems and information through prevention, detection and response to improper access from within and outside your enterprise. Improper access can result in information being altered, destroyed, misappropriated or misused or can result in damage to or misuse of your systems, including for use in attacks on others. No IT system or product should be considered completely secure and no single product, service or security measure can be completely effective in preventing improper use or access. IBM systems, products and services are designed to be part of a lawful, comprehensive security approach, which will necessarily involve additional operational procedures, and may require other systems, products or services to be most effective. IBM DOES NOT WARRANT THAT ANY SYSTEMS, PRODUCTS OR SERVICES ARE IMMUNE FROM, OR WILL MAKE YOUR ENTERPRISE IMMUNE FROM, THE MALICIOUS OR ILLEGAL CONDUCT OF ANY PARTY. Copyright IBM Corporation All rights reserved. The information contained in these materials is provided for informational purposes only, and is provided AS IS without warranty of any kind, express or implied. IBM shall not be responsible for any damages arising out of the use of, or otherwise related to, these materials. Nothing contained in these materials is intended to, nor shall have the effect of, creating any warranties or representations from IBM or its suppliers or licensors, or altering the terms and conditions of the applicable license agreement governing the use of IBM software. References in these materials to IBM products, programs, or services do not imply that they will be available in all countries in which IBM operates. Product release dates and/or capabilities referenced in these materials may change at any time at IBM s sole discretion based on market opportunities or other factors, and are not intended to be a commitment to future product or feature availability in any way. IBM, the IBM logo, and other IBM products and services are trademarks of the International Business Machines Corporation, in the United States, other countries or both. Other company, product, 8 or service names may be trademarks or service marks of others.

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