Threat Hunting: Proactively
Defending Against Cyber Threats
• Understanding, Implementing, and Impacting
Organizations
What is Threat Hunting?
• Proactive search for hidden cyber threats.
• Goal: Detect & stop threats before damage.
• Example: Detecting malware like 'Snake
Keylogger' used in phishing campaigns.
Threat Hunting in Simple Terms
• Analogy: Like an investigator searching for
intruders beyond security cameras.
• Example: Hackers bypass firewalls using 'Living
off the Land' techniques; hunters find hidden
traces.
Why is Threat Hunting Important?
• • 70% of cyber threats bypass security.
• • Attackers remain undetected for months.
• • Essential for stopping ransomware & insider
threats.
• • Example: Recent 'BlackCat' ransomware
attacks targeting enterprises.
Pros & Cons
• ✅ Pros: Early detection, fewer false positives,
better security.
• ❌ Cons: Requires skills, time, and continuous
monitoring.
• • Example: Successful detection of 'Cobalt
Strike' misuse before an attack.
Who is Affected?
• • Technical: SOC analysts, incident response,
IT teams.
• • Business: Executives, risk management, legal
teams.
• • Example: A company's CFO targeted by
'Business Email Compromise (BEC)' scams.
Key Steps in Threat Hunting
• 1. Set Objectives: What threats to detect?
• 2. Gather Data: Logs, network traffic, endpoint
info.
• 3. Use Threat Intel: Leverage MITRE ATT&CK.
• 4. Analyze & Detect: Behavior patterns,
anomalies.
• 5. Automate: AI & ML for efficiency.
• • Example: Identifying 'ProxyShell' exploits in
Microsoft Exchange servers.
Essential Tools
• • SIEM: Splunk, QRadar
• • EDR: CrowdStrike, Defender
• • Threat Intel: MISP, VirusTotal
• • Automation: Python, Sigma rules
• • Example: Using Splunk queries to detect
'Maui' ransomware activity.
Real-World Example
• • Issue: Unusual login attempts on an
executive account.
• • Discovery: Threat hunters found stolen
credentials in use.
• • Action: Account locked, attackers blocked,
security strengthened.
• • Example: Recent cases of 'MFA Fatigue
Attacks' forcing unauthorized logins.
Key Takeaways
• • Threat hunting is proactive cybersecurity.
• • Requires skills, data, and AI support.
• • Strengthens security & business resilience.
• • Example: Preventing 'Log4Shell' exploits
before damage.
Q&A
• Open for questions & discussion.

Threat_Hunting_Presentation (1).pptx for SIEM

  • 1.
    Threat Hunting: Proactively DefendingAgainst Cyber Threats • Understanding, Implementing, and Impacting Organizations
  • 2.
    What is ThreatHunting? • Proactive search for hidden cyber threats. • Goal: Detect & stop threats before damage. • Example: Detecting malware like 'Snake Keylogger' used in phishing campaigns.
  • 3.
    Threat Hunting inSimple Terms • Analogy: Like an investigator searching for intruders beyond security cameras. • Example: Hackers bypass firewalls using 'Living off the Land' techniques; hunters find hidden traces.
  • 4.
    Why is ThreatHunting Important? • • 70% of cyber threats bypass security. • • Attackers remain undetected for months. • • Essential for stopping ransomware & insider threats. • • Example: Recent 'BlackCat' ransomware attacks targeting enterprises.
  • 5.
    Pros & Cons •✅ Pros: Early detection, fewer false positives, better security. • ❌ Cons: Requires skills, time, and continuous monitoring. • • Example: Successful detection of 'Cobalt Strike' misuse before an attack.
  • 6.
    Who is Affected? •• Technical: SOC analysts, incident response, IT teams. • • Business: Executives, risk management, legal teams. • • Example: A company's CFO targeted by 'Business Email Compromise (BEC)' scams.
  • 7.
    Key Steps inThreat Hunting • 1. Set Objectives: What threats to detect? • 2. Gather Data: Logs, network traffic, endpoint info. • 3. Use Threat Intel: Leverage MITRE ATT&CK. • 4. Analyze & Detect: Behavior patterns, anomalies. • 5. Automate: AI & ML for efficiency. • • Example: Identifying 'ProxyShell' exploits in Microsoft Exchange servers.
  • 8.
    Essential Tools • •SIEM: Splunk, QRadar • • EDR: CrowdStrike, Defender • • Threat Intel: MISP, VirusTotal • • Automation: Python, Sigma rules • • Example: Using Splunk queries to detect 'Maui' ransomware activity.
  • 9.
    Real-World Example • •Issue: Unusual login attempts on an executive account. • • Discovery: Threat hunters found stolen credentials in use. • • Action: Account locked, attackers blocked, security strengthened. • • Example: Recent cases of 'MFA Fatigue Attacks' forcing unauthorized logins.
  • 10.
    Key Takeaways • •Threat hunting is proactive cybersecurity. • • Requires skills, data, and AI support. • • Strengthens security & business resilience. • • Example: Preventing 'Log4Shell' exploits before damage.
  • 11.
    Q&A • Open forquestions & discussion.