Case Study – Enhancing Cybersecurity with AI-Driven SIEM

How AI Transformed Traditional SIEM into an Intelligent Security Platform

Profile

AI-Powered SIEM revolutionizes security operations by harnessing the power of artificial intelligence. This cutting-edge solution transforms the way you detect, prioritize, and respond to threats. Say goodbye to overwhelming alert fatigue and manual analysis. AI-Powered SIEM’s intelligent algorithms automatically analyze alerts, identify critical threats, and provide actionable recommendations. With its automated mitigation steps, enhanced threat detection, and reduced false positives, AI-Powered SIEM empowers security teams to respond swiftly and effectively to protect your organization.

Whether you’re a security professional, AI expert, or just starting out, AI-Powered SIEM offers unparalleled benefits. Experience the future of security today.

Challenge

Traditional SIEM tools rely on rule-based analysis, which can be time-consuming to configure and maintain.

Additionally, these tools often generate a high number of false positives, which can waste valuable analyst time investigating non-critical events.To address these issues and enhance the effectiveness of security operations, AI-Powered SIEM was introduced.

Overwhelming Number of Alerts:

  • Alert fatigue due to a deluge of alerts.
  • Difficulty in distinguishing critical threats from noise.

Difficulty in Prioritizing Threats:

  • Lack of context in alerts, hindering severity assessment.
  • Technical jargon that may confuse non-experts.
  • Complex root cause analysis requires specialized knowledge.

Inefficient Response Times:

  • Delays in investigation due to insufficient information in alerts.
  • Learning curve challenges for new or less experienced engineers.

Time-Consuming Manual Alert Analysis:

  • Manual review of each alert, leading to inefficiency and errors.
  • Increased risk of human error due to the volume of alerts.

Solution

AI-Powered SIEM is a comprehensive security solution designed to address the limitations of traditional security event management. By leveraging the power of artificial intelligence (AI), the product provides a more efficient and effective approach to threat detection, prioritization, and response.

The architecture of the solution is designed to be scalable, flexible, and highly effective in detecting and responding to security threats. Below is an overview of its key components:

SIEM Software:

  • Core security monitoring and alerting functionality.
  • Data collection and analysis for threat identification.

Watchdog (AI Agent):

  • Monitors for new alerts and initiates processing.

AI Controller:

  • Central hub for alert processing and data transfer.
  • API endpoint for external application interaction.

Mitigation review portal:

  • User interface for reviewing and approving mitigation steps.

Mitigation DB:

  • Data storage for mitigation steps and approval status.

Verified mitigation repo:

  • User interface for viewing/editing verified mitigation steps.

Vertex AI Model:

  • AI engine for generating tailored mitigation steps.

How It Works:

Alert Detection:The software collects and analyzes security data, identifying potential threats.

Alert Processing:The watchdog script detects new alerts and sends them to the Flask server.

AI-Generated Mitigation:The Vertex AI model analyzes the alert data and generates tailored mitigation steps.

Approval and Implementation:Mitigation steps are presented to the security engineer for review and approval. Once approved, they are implemented automatically.

Continuous Learning:AI-Powered SIEM continuously learns from new data and refines its mitigation strategies over time.

Benefits

Enhanced Security and Efficiency

Automated Mitigations:AI-generated responses, email notifications, and detailed alerts for effective threat handling.

Intelligent Threat Prioritization:Focus on critical issues.

Accelerated Incident Response:Faster resolution through automated responses, detailed alerts, and prioritization.

Automated Email Notifications:Relevant information and reliable delivery.

Automated Mitigation Steps:Reduced manual intervention, industry best practices, and contextual alert information.

Storage and Retrieval of Mitigations:Efficient data storage and retrieval, reduced AI processing, and faster response time.

Time-Stamp Filtering for Alerts:Identifying and suppressing redundant alerts.

Mitigation Step Approval Interface:Interactive webpage for review, management, and informed decision-making.

AI-Chat Application:Enhanced understanding, expert advice, and efficient problem-solving.

Secure AI-Powered SIEM Access:Data protection, reduced unauthorized access risk, and compliance with industry regulations.

Results 

Duplicate Alerts (Time-Based, Count) : Lower means better

Agent info: Higher means better

Event info: Higher means better

Event reason: Higher means better

Response Times(%): Lower means better

AI security Assistant: Higher means better

Security Engineer Workload(%): Lower means better

Testimonials

Dinoct’s fully hosted and managed HL7 integration solution has the flexibility to scale and incorporate changes as business demands at a reasonable cost. Its developers worked directly with the integration team to fine tune the capability and capacity. Their team and their software solutions have been key in helping us to support our healthcare clients. We had a very positive experience working with Dinoct Solutions.

Keerthi Kanubaddi
CEO, ReadySet Surgical

 

Dinoct has handled our HL7 interface development and support and we’ve been very pleased with the interface engine software as well as their customer service and technical expertise. We now have production interfaces with a number of hospitals that help us retain our customers’ business.

Srinivas Raghavan
CTO, ReadySet Surgical