Case Study: Next-Generation Cyber Security Architecture Using AI/ML & Big Data on Cloud for a Leading Cyber Security Firm

Client: Leading Cyber Security Firm

Consulting Company: VerticalServe

Implementation Period: 10 months

Technologies Used: AI/ML, Big Data, Cloud Computing, Cyber Data Lake, SIEM, IDS (HIDS, NIDS), Network Flows, VPC Flows, AD Activities, Firewall Logs, UBA, Threat Models, Threat Management, Threat Monitoring, Data Science Framework, Data Correlation, Incident Management

Background: A leading cyber security firm recognized the need for a comprehensive, next-generation cyber security architecture to effectively detect, analyze, and respond to evolving cyber threats. The firm approached VerticalServe to leverage AI/ML, big data, and cloud technologies to develop an advanced cyber security solution.

Objective: To design and implement a next-generation cyber security architecture using AI/ML and big data on the cloud to enhance the detection and mitigation of cyber threats, improve incident management, and streamline security operations.

Solution: VerticalServe developed an end-to-end cyber security architecture with the following key components:

1. Cyber Data Lake Implementation: A scalable, cloud-based cyber data lake was implemented to store and process large volumes of structured and unstructured security data from various sources.
2. SIEM (Security Information and Event Management): An advanced SIEM solution was integrated to provide real-time analysis of security alerts generated by the data lake and other security applications.
3. Data Sources Integration: Data from various sources like IDS (HIDS, NIDS), network flows, VPC flows, AD activities, and firewall logs was ingested into the cyber data lake for comprehensive analysis.
4. UBA (User Behavior Analytics): AI/ML-based user behavior analytics were employed to detect anomalous patterns in user activities, providing early warning for potential insider threats and compromised accounts.
5. Threat Models and Management: Threat models were developed using AI/ML techniques to predict, prioritize, and respond to potential threats based on historical data and real-time threat intelligence feeds.
6. Threat Monitoring: A real-time threat monitoring system was implemented to provide continuous visibility into the security landscape and enable quick response to security incidents.
7. Data Science Framework: VerticalServe deployed a data science framework to develop and refine machine learning models for threat detection, user behavior analysis, and data correlation.
8. Data Correlation: AI/ML algorithms were used to correlate disparate security data, enabling faster and more accurate detection of complex threats and attack patterns.
9. Incident Management: An incident management system was integrated to streamline the process of handling security incidents, including incident triage, investigation, containment, and remediation.

Results:

• Enhanced threat detection: The next-generation cyber security architecture led to a 35% improvement in threat detection, reducing the time to identify and mitigate cyber threats.
• Improved incident management: The incident management system streamlined security operations, resulting in a 45% reduction in the average time to resolve security incidents.
• Reduced false positives: AI/ML-driven data correlation and threat models significantly reduced the number of false positives, allowing security teams to focus on high-priority threats.
• Proactive threat response: The combination of real-time threat monitoring and AI/ML-powered threat models enabled the cyber security firm to respond proactively to potential threats, reducing the risk of successful cyber attacks.
• Scalable and adaptable architecture: The cloud-based cyber data lake and modular architecture provided the scalability and flexibility needed to adapt to the ever-evolving cyber threat landscape.

The next-generation cyber security architecture developed by VerticalServe allowed the cyber security firm to significantly enhance its threat detection and response capabilities while streamlining security operations. The firm has since expanded the architecture to additional clients and plans to continue refining its AI/ML models and threat management

About:

VerticalServe Inc — Niche Cloud, Data & AI/ML Premier Consulting Company, Partnered with Google Cloud, Confluent, AWS, Azure…50+ Customers and many success stories..

Website: http://www.VerticalServe.com

Contact: contact@verticalserve.com

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