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Cyber Threat Intelligence Platform (W3WARE)

In the evolving landscape of cybersecurity, organizations face sophisticated threats that often bypass traditional defense mechanisms. The W3WARE Threat Management Platform is designed to proactively identify, assess, and mitigate potential threats to an organization’s digital infrastructure. By integrating advanced analytics, threat intelligence feeds, and user behavior analytics, W3WARE offers a comprehensive solution for real-time threat detection and response

Challenges

  1. Advanced Persistent Threats (APTs):
    • Sophisticated adversaries employ techniques that evade conventional security measures, posing significant risks to organizations.
  2. Data Overload:
    • The influx of threat intelligence data from various sources can overwhelm security teams, making it challenging to extract actionable insights.
  3. User Behavior Anomalies:
    • Identifying deviations in user behavior is crucial for detecting insider threats and compromised accounts.
  4. Integration and Scalability:
    • Ensuring seamless integration with existing infrastructure and scalability to handle large data volumes are critical for effective threat management.

Our Solutions

The W3WARE Threat Management Platform addresses these challenges through its core components:

  1. Threat Intelligence Integration:
    • Aggregates feeds from open sources and dark web channels, enhancing the platform’s adaptability in detecting threats that may have bypassed existing defenses.
  2. User and Entity Behavior Analytics (UEBA):
    • Monitors typical user patterns, such as usual login hosts and executed processes, to detect anomalies indicative of potential threats.
  3. Big Data Analytic Engine:
    • Processes extensive data beyond human capability, adapting to the latest adversary techniques by tracking real-time threat intelligence events.
  4. User-Friendly Reporting:
    • Generates technical and non-technical management summary reports with options for downloading and setting notifications, facilitating effective sharing of threat intelligence information among teams.

Technology Slack

Elastic Search

Angular

Datalake

Python

Impacts

Scenario 1: Dark Web Threat Monitoring

  • Objective:
    • Identify stolen credentials or sensitive data leaks from an organization.
  • Process:
    • Threat intelligence feeds from dark web sources are ingested into the platform.
    • ElasticSearch indexes and flags mentions of company-specific keywords or credentials.
    • Notifications are sent to the security team with actionable insights.
  • Outcome:
    • Early detection of stolen credentials, enabling faster incident response.
    • Reduced risk of data breaches by preemptively mitigating threats.

Scenario 2: Insider Threat Detection

  • Objective:
    • Identify anomalous user activity indicative of a compromised account or insider threat.
  • Process:
    • UEBA engine analyzes login hosts, file access patterns, and processes executed.
    • Deviations from normal user behavior are flagged as potential risks.
    • Security teams receive reports and prioritize investigations.
  • Outcome:
    • Prevented unauthorized data exfiltration by detecting and isolating compromised accounts.
    • Improved overall security posture by monitoring user behavior.

Benefits

  1. Enhanced Threat Detection:
    • Real-time monitoring of threats from multiple sources ensures a proactive security approach.
  2. Actionable Insights:
    • Management-friendly reports make threat intelligence accessible to all stakeholders, enabling quick decision-making.
  3. Scalable and Adaptive:
    • Big data processing ensures scalability for large organizations with extensive threat intelligence needs.
    • Adapts to evolving adversary techniques and tactics.
  4. Streamlined Workflow:
    • Automated alerts and notifications reduce the workload for security teams, allowing them to focus on critical incidents

Future Scope

  1. AI-Driven Threat Detection:
    • Integrate advanced machine learning models for predicting threats and prioritizing risks.
  2. Integration with SIEM Tools:
    • Seamless integration with Security Information and Event Management (SIEM) systems to enhance overall threat visibility.
  3. Threat Sharing Collaboration:
    • Enable secure sharing of threat intelligence with industry peers to build a collective defense mechanism.
  4. Automated Incident Response:
    • Develop automated playbooks for responding to common threats, reducing incident response times

Conclusion

The W3WARE Threat Management Platform combines the power of big data analytics, user behavior analytics, and a user-friendly interface to deliver comprehensive threat monitoring. With real-time insights and adaptive detection, it empowers organizations to stay ahead of adversaries and safeguard their critical assets.