Cognitive Threat Analytics Tech update
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- Andrea Hodges
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1 Cognitive Threat Analytics Tech update Mikael Grotrian, CISSP, CISM, CCSK, GISF, ITIL, PRINCE2, TOGAF Certified Consulting Systems Engineer, Cyber Security, Denmark
2 CTA CTA CTA Cognitive Threat Analytics For CWS, WSA, and External Telemetry Web Access Logs (input telemetry) Cisco Cognitive Threat Analytics (CTA) Cloud Web Security Gateway s Cisco CWS (Cloud Web Security) CTA a-la-carte ATD bundle = CTA & AMP WSP bundle = CWS & ATD Breach Detection & Advanced Threat Visibility HQ Web Security Gateway s Cisco WSA (Web Security Appliance) CTA a-la-carte HQ Incident Response Conf irmed Threats Detected Threats STIX / TAXII API External Telem etry (BlueCoat Sec. Gatew ay) CTA a-la-carte Threat Alerts SIEMs: Splunk, ArcSight, Q1 Radar,...
3 Breach Detection: Ransomware Example 1 AV removing trojan AV signatures updated & trojan removed CryptoLocker confirmed & endpoint sent for reimage CTA Detection AV removing w orm & signatures found outdated Worm removed by daily scan < Malware operational for more than 20 days > Feb 25 Mar 1 Mar 21 Mar 24 Mar 25 Apr 4 Time Threat activity continuously detected by CTA!
4 CTA presents results in two categories Confirmed Threats Confirmed Threats - Threat Campaigns Threats spanning across multiple users 100% confirmed breaches For automated processing leading to fast reimage / remediation Contextualized w ith additional Cisco Collective Security Intelligence
5 AMP Threat Grid augments CTA reporting AMP Threat Grid aids forensic work on the endpoint by presenting: Associated threat artifacts from AMP Threat Grid, exhibiting network behaviors matching to the CONFIRMED CTA threat Content security signatures for these associated threat samples globally Insights into exactly what a threat is doing (end-point behaviors)
6 CTA presents results in two categories Detected Threats Detected Threats One-off Threats Unique threats detected for individuals Suspected threat confidence and risk levels provided For semi-automated processing Very little or no additional security context exists Demo
7 How CTA analyzes a threat Attacker techniques: Domain Generation Algorithm (DGA) 0 domain age: 2 weeks - Active channels Data tunneling via URL (C&C) Web Perimeter CTA Analyzing Web Access Logs DGA DGA Webrep DGA DGA C&C domain age: 3 hours - 0 domain age: 1 day domain age: 2 weeks AV C&C +
8 Here s an example of how it works Anomaly Detection Trust Modeling Classification Entity Modeling Relationship Modeling Cluster 1 X A Cluster 1 CONFIRMED threats (spanning multiple users) Cluster 2 H Z Cluster 2 DETECTED threats (unique) Cluster 3 K M Cluster 3 10B requests per day +/- 1% is anomalous 10M events per day 1K-50K incidents per day Near real-time processing
9 Detection and analytics engines to identify a variety of malicious activity Data exfiltration Command and Control (C2) Communication Domain Generation Algorithm (DGA) Exploit Kit Tunneling through HTTP/S requests Identify anomalous w eb traffic and pinpoint data breaches w ith statistical modeling Detect a broad range of threats by distinguishing C2 communication from malicious activity Recognize malicious attacks by detecting malicious domain names on each HTTP/ HTTPS request Uncover infections through analyzing w eb requests Distinguish malicious tunneling from HTTP/HTTPS requests through multiple IOCs
10 With CTA you get Increased Visibility Gain line-of-sight into C2 communication for rapid breach identification Anomaly Detection Rapidly identify anomalies in web and network traffic using advanced analysis and modeling Reduced Time to Remediation (TTR) Receive alerts of confirmed threats
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