Democratising Security: Update Policies or CV
•Download as PPTX, PDF•
1 like•1,116 views
Security is everyone's responsibility. That’s the lesson learned as enterprises seek to improve their detection and response for cyber incidents. This session introduces a new model where InfoSec sets the policies and delegates monitoring to application teams.
Recommended
Recommended
More Related Content
What's hot
What's hot (20)
Similar to Democratising Security: Update Policies or CV
Similar to Democratising Security: Update Policies or CV (20)
More from ExtraHop Networks
More from ExtraHop Networks (9)
Recently uploaded
Recently uploaded (20)
Democratising Security: Update Policies or CV
- 1. Democratising Security: Update Your Policies or Update Your CV Raja Mukerji Co-Founder and President, ExtraHop Networks
- 2. Democratising Security: Update Your Policies or Update Your CV Raja Mukerji Co-Founder and President, ExtraHop Networks
- 4. Actionable Takeaways You cannot secure what you cannot see.
- 5. “You know the things you intend to have in your network. We know the things that are actually in your network.” Rob Joyce Chief of Tailored Access Operations National Security Agency
- 6. Policy Compliance != Security Security Policy compliance Risk visibility Policy compliance Secure Checkbox Compliance Traditional Risk Mitigation Holistic Understanding Business Enablement
- 7. Analyze Data in Flight to Understand Risk
- 8. Wire Data = Risk Visibility CVE Detection Shellshock HTTP.sys Turla malware Heartbleed FREAK SSL/TLS POODLE Logjam Compliance SSH tunneling Non-standard ICMP Non-standard DNS Non-standard HTTP Disallowed file types Invalid file extension writes Blacklisted traffic Encryption Profile Certificate expiration Key length Outdated SSL sessions MD5/SHA-1 cert signing SSL traffic by port Email encryption Wild card certificates Protocol Activity Unencrypted FTP Telnet Gopher TACACS SNMP v1, v2, v2c Finger IRC Application & User Behavior Privileged user logins Unauthorized connections Lateral network traversal Brute force attacks Storage/DB access Fraudulent transactions Large data transfers Unstructured Packets Structured Wire Data
- 9. Scaling SecOps Traditional Model: Enterprise Perimeter • InfoSec is siloed • Not enough skilled staff • Security controls fail due to complexity New Model: Micro-Perimeters • InfoSec is partner (enforcement and advisory) • Equip everyone to make security part of their job • Focus on InfoSec as a service App A: Assets App A: Data App A: Assets App A: Data Corporate IT Specialist IT Remote Workers IaaS: Assets IaaS: Data SaaS App App A: Assets App A: Data App A: Assets App A: Data Corporate IT Specialist IT Remote Workers IaaS: Assets IaaS: Data SaaS App
- 10. Enrich Your Security Infrastructure User behavior Application behavior System behavior Network behavior Open Data Stream Big Data lake for security Stream Analytics Unstructured network packets • Programmable stream processor for custom metrics • Open Data Stream (syslog, Kafka, HTTP) for any data • Bi-directional REST API for ingest and orchestration
- 11. Everything Transacts on the Network Target Host Evil Mail ServerDatabase Day 30 – Exfiltration of data over a throttled connection. Day 0 – Target compromised Day 5 – Rootkit downloaded Day 5 - Command and control set up. Day 6 through 14 - Slow port scan Day 14 through 25 - Low-intensity brute-force login attempts Day 26 through 29 - Data downloaded over a four-day period. 7 different L7 protocols, various behaviors, and data exchanged over a 30-day period SMTPHTTP SSH ICMP & TCP LDAP FTP MySQL
- 12. Data Exfiltration Observe and correlate every step of the intrusion lifecycle on the network: malicious email -> malware download -> C&C -> scanning -> brute-force login -> data download -> exfiltration ICMP Ping and TCP-SYN scanning Failed database logins FTP to internal and external servers
- 13. Realization of Threat Intelligence • Detect attacks based on observed behavior, not signatures • Reduce alert fatigue with intelligence based on precise activity • Better than logs: Network observation is always on and cannot be deleted or turned off
- 14. Business Process Anomaly Detection 4 hours Traditional security analytics/intelligence systems are too slow to catch fraud. Example: An online travel management service needed to detect and cancel fraudulent activity before the criminals went to the airport and received cash refunds for the tickets. Policy violation!
- 15. Simplify Compliance Audit • Track every AD login, CIFS file access, and who connected to sensitive applications • Store historical data to simplify audit reporting and enable investigation • Verify existing security controls are working or not • Monitor encryption use and cipher suite strength
- 16. Questions? See an ExtraHop demo at booth #XXX
Editor's Notes
- Raja’s previous experience about checkbox compliance …
- Build this slide