EXTENDING NETWORK SECURITY: TAKING A THREAT CENTRIC APPROACH TO SECURITY

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1 EXTENDING NETWORK SECURITY: TAKING A THREAT CENTRIC APPROACH TO SECURITY Dean Frye Sourcefire Session ID: SEC-W05 Session Classification: Intermediate

2 Industrialisation of Threat Factories Goal: Glory, mode: Noise Goal Profit, mode: Stealth VIRUSES MACRO VIRUSES WORMS HACKERS SPYWARE / ROOTKITS APTs MALWARE Attackers and defenders drive each other to innovate resulting in distinct threat cycles

3

4 BlackHole Exploit Kit 28% Internet Threats Recent Vulns, Iframe Injection

5 New Model of Security A T T A C K C O N T I N U U M BEFORE DURING AFTER See it, Control it Intelligent & Context Aware Retrospective Security Network Endpoint Mobile Virtual Point-in-Time Continuous

6 There is no Silver Bullet You need to address the full Attack Continuum Before Policy & Control Discover environment Implement policy and control Harden assets During Identification & Block Detect Prevent After Analysis & Remediation Determine scope of damage Contain the spread of attacks Remediate What is needed is a new Technique to protect your organization

7 Before the Threat: Discover Your Environment Before Policy & Control Threats Devices Applications Flow Vulnerabilities OS Users Files

8 Before the Threat: Implement Policy & Control Before Policy & Control Policy Enforcement: Application Control: Automated Tuning: URL Filtering:

9 During the Threat: Security Intelligence Contextual Decisions During Identification & Block

10 World Class Research Global Data Collection Openly Published During Identification & Block Content A focused list of the vulnerabilities you re most likely to be affected by *this week* Top in field malware detections last week Notable new attack methods, and how attacks work

11 Intelligence by the numbers During Identification & Block 14,443,920 pieces of malware submitted for analysis >2,250,000 end points feeding real-time threat intelligence to FireCLOUD 98.9% Industry s best vulnerability coverage achieved in NSS Labs IPS group test 100% Same-day protection for Microsoft vulnerabilities for all customers

12 After the Threat: Leverage Context Browse all application traffic Look for risky applications After Analysis & Remediation Who is using them? What else have these users been up to? On what operating systems? What does their traffic look like over time?

13 After the Threat: Continuous Analysis & Remediation Network Detection Endpoint Remediation After Analysis & Remediation

14 After the Threat: Device Trajectory After Analysis & Remediation Root Cause Other Threats of Interest What it s Doing?

15 After the Threat: File Trajectory After Analysis & Remediation The point of entry The time of entry Systems Infected

16 After the Threat: Network File Trajectory After Analysis & Remediation The time of entry

17 Address the Entire Attack Continuum Before Policy & Control Discover Environment Implement Access Policy Generate Integrity Baseline Next Gen Firewall Application Control Vulnerability Management Asset Discovery During Identification & Block Detect Prevent Anti-Malware Intrusion Prevention Flow Analysis After Analysis & Remediation Determine Scope Contain Remediate Forensics Contextual Analysis 3 rd Party Tool Support

18 Addressing Threat Evolution Vendors Like Segmented Problems - viruses, intrusions, malware, worms, exploits, root kits, APTs, RATs what are all these things vendor language for threats Threat Continuum = Acronym Innovation Cycle? Obsession with Winning Detection Race With Bigger, Single Barrel Guns Assumptions About Detection Performance are Unrealistic

19 Detection Race Defining a Failed Technology Frames New Technology as Advancement Vendor Should Focus on What is Not Working Not On Infosec Arms Race Amazing How Quickly Countermeasures Are Redundant Failed Detections Are Expensive! Skills and Costs Massively Higher The Detection Race Hurts the Technology Buyer

20 Guns Need Bullets Sandboxing FW/VPN AV Block or Allow PKI IDS / IPS UTM It matches the pattern NAC No key, no access Application Control No false positives, no false negatives. Fix the Firewall Self Defending Network Detect the Unknown

21 Technique Vs Technology Technology Lifecycles are Short Modular Frameworks With Multiple Technologies Give Longer Technology Cycles Allow Technologies to Co-Exist Let s Look At 2 Emergent Technologies

22 Technology Example: Sandboxing Point In Time Analysis Enterprise On Prem Analysis Sleep Techniques Unknown Protocols Encryption Performance Detected Clean - Analysis Stops Continuous Analysis - Cloud You can t detect 100% Visibility and Control are Key Detected Clean Analysis Continues - Retrospective Alert

23 Technology Example: IOCs Generic Indicators of Compromise Attack Pathology May be Behavioural, Intrinsic Characteristic, Almost Anything Process Name, Communication Metadata, Registry Key, Encoding Can Be Shared Weak Signal In Isolation - Can Be Weighted Particularly Promising As An Analysis and Recognition Technology Post Compromise

24 Cloud Enables Technique Both These Technologies Are Promising Centralised Support and Huge Processing Capability Co- Ordinates Many New Technologies and Reinvigorates the Old

25 Detection Lattice Co-Ordinated Detection Technologies One-to-One Fuzzy Fingerprinting Signature-based, 1 st line of defense, Coarse ACL Sandbox Code Behavioural Analysis Machine Learning Analyzes 400+ attributes for unknown malware IP And File Reputation Massive Repository of File and IP Disposition Algorithms identify polymorphic malware IOC Indicators of Compromise Weighted Decisions Advanced Analytics Combines data from lattice with global trends Cloud Recall Engine Retrospective Analysis Cloud-based delivery, results in better protection plus lower storage & compute burden within the Enterprise

26 Continuous Capability Coherent & Co-Ordinated Collective Security Intelligence NETWORK ENDPOINT MOBILE VIRTUAL CONTINUOUS + POINT-IN-TIME NGFW NGIPS AV AMD

27 Breadth & Depth Address the Entire Attack Continuum Network Contextual Awareness Control Automation Endpoint BEFORE DURING AFTER See it, Control it Lightweight Connector Desktop Mobile Virtual Integrated Response Intelligent & Context Aware Network Malware Detection Endpoint Malware Detection Retrospective Security Retrospective Alerting Trajectory Trajectory Device Flow Correlation File Analysis Indications of Compromise Outbreak Control Forensics

28 Open Platform Open Detections, Open Data Model BEFORE DURING AFTER See it, Control it Intelligent & Context Aware Retrospective Security Vulnerability Management Custom Detection Full Packet Capture NAC Incident Response Network Access/Data Capture Visualization SIEM Sourcefire STP Program API Framework

29 go.sourcefire.com/sourcefirechalktalks VRT Service Blog

30 THANK YOU Dean Frye Sourcefire Session ID: Session Classification:

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