Cyber Data Solutions

ENHANCE CYBER-RESILIENCE

Data Intelligence for Cybersecurity

As the demand for data-driven threat intelligence grows, so does the complexity of data management at-scale within constrained budgets.​

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When A SIEM Is not enough

Break the SIEM lock-in that drives detection gaps and high costs for enterprise SOCs. Infinitive enables detection engineers and threat hunters to keep using their existing SIEM while seamlessly adopting a scalable and cost-effective data lake for high-volume data sources and advanced analytics use cases. By eliminating the need for rip-and-replace, our Cyber Data Solutions provides the flexibility needed for security leaders to confidently join the rest of the enterprise on the modern data stack without disrupting existing processes. Security operations teams at banks, airlines, and large tech companies use Infinitive’s Cyber Data Solutions to detect threats at scale and save millions of dollars.
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Operational Cybersecurity Data Challenges

Data volume and diversity present several challenges to Cyber analysts, data engineers and others.

DATA CHALLENGES

Data Silos

Data stored across the enterprise and in various vendor systems is not easily integrated or shared, hampering a unified view of threats.​

Heterogeneous Data

Cyber analytics and monitoring consumes data from many non-standardized sources, with schemas that are prone to change.

Data Governance-at-Scale

Tracking lineage and managing access for numerous data sources in many use cases.

Maintaining 100s of Data Pipelines

Ensuring data is ingested reliability and consistency from diverse sources feeding into centralized datastores.

TOOL & ANALYTICS CHALLENGES

Swivel-Chair Analytics

Data needed to support investigations is often not in a centralized location for efficient or effective analysis.

SIEM Alerts Often Lack Context

Alerts sent to the SIEM from other security tools may lack proper context to be worked efficiently.

UBA Tool Limitations

User Behavioral Analytics (UBA) Tools often lack historical search capabilities and transparency into potential threats.

Alert Fatigue

The sheer number of alerts, often with many false positives, can overwhelm cyber analysts.

FOUNDATION

CYBER DATA LAKEHOUSE IMPLEMENTATION

Implement a state-of-the-art Lakehouse architecture that combines the scalability of a data lake with the governance and transactional capabilities of a data warehouse. This unified platform supports advanced analytics and machine learning, providing a powerful yet cost-effective foundation for security operations.

SIEM
Augmentation

Enhance your SIEM’s capabilities and optimize storage costs via Databricks Delta Lake to efficiently analyze large volumes of data.

Real-Time Threat
Detection & Incident Response​

Leverage the power of Databricks Lakehouse, streaming analytics, and automation to provide a robust solution for managing cybersecurity threats in real-time.

Advanced Vulnerability Management & Threat Analytics​

Proactively identify, assess, and remediate vulnerabilities by enabling analysts to conduct analysis of historical data at scale and AI/ML for advanced predictive analytics.​

Databricks for Cybersecurity

The Databricks Data Intelligence Platform streamlines threat detection and analysis, while reducing costs and enhancing response accuracy.

  • Reduced risk, complexity & cost
    ​ Simplify the ingestion and retention of massive amounts of data, while reducing the complexity, noise, and costs typically associated with expanding datasets. ​
  • Supports next-gen threat detection​
    ​ Enable real-time insights and machine learning to identify the incidents that matter, helping to uncover hidden threat patterns and reducing false positives from SIEM tools.​
  • AI-powered security analytics​​
    ​ Facilitates the creation of machine learning models for faster and more accurate threat detection and response, streamlining the investigation and triage process across multiple data sources.​
  • Historic analysis at scale​​​
    ​ Conduct extensive forensic analysis by enabling security teams to conduct thorough reviews of historical data and respond to incidents with increased precision and confidence.​
  • Multi-Cloud, Multi-region​​​​
    ​ Streamline threat detection while minimizing egress costs and adhering to data sovereignty regulations. ​

Infinitive’s Cyber Lakehouse Development Approach​

Infinitive’s Lakehouse development approach begins with clearly defining scope and priority use cases, followed by scoping and developing an achievable initial MVP solution.​

PATH TO SUCCCESS

Get Started. Speak with a Databricks Expert.

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Partners We Work With

We partner with the world’s leading technology companies bringing effective and sustainable ideas and solutions to achieve your business goals. With our deep industry knowledge, broad talent ecosystem, and proven business, technology, and ROI accelerators, we deliver outcomes that are customized, scalable, and aligned with your unique needs.

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Contact

info@infinitive.com
703.554.5500
20365 Exchange St, #301
Ashburn, VA 20147

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