Enterprise AI Analysis
Benchmarking AI for Cybersecurity Operations
Explore how Large Language Models (LLMs) can transform your Security Operations Center (SOC) capabilities, informed by cutting-edge research.
Executive Impact at a Glance
Key metrics demonstrating the potential of AI in modern SOC environments.
Efficiency Boost
Annual Cost Savings
Threat Coverage
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
Overview
Key Findings
Our research delves into the capabilities of Large Language Models (LLMs) to enhance Security Operations Center (SOC) tasks. We introduce CyberSOCEval, a new suite of open-source benchmarks for Malware Analysis and Threat Intelligence Reasoning.
The benchmarks reveal that larger, more modern LLMs perform better, yet current models are far from saturating our evaluations, indicating significant room for improvement in cyber defensive capabilities.
Malware Analysis: Models answered between 23-34% correctly. Performance was not affected by filtering report output, suggesting core reasoning capabilities are key.
Threat Intelligence Reasoning: Vision-capable models scored 43-53% correctly using image inputs, and 5-10% higher with text inputs. This highlights the need for robust multimodal understanding.
Reasoning Models: We did not observe a large performance boost from models leveraging test-time scaling in cybersecurity, suggesting a need for more targeted training in this domain.
Enterprise Process Flow
Identify Threats
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Analyze Data
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Formulate Response
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Implement Controls
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Monitor & Adapt
Advanced ROI Calculator
Estimate the potential savings and reclaimed hours by integrating AI into your SOC operations.
Estimated Annual Savings
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Implementation Roadmap
A phased approach to integrate AI capabilities into your cybersecurity operations.
Phase 1: Assessment & Strategy
Define clear objectives, assess current SOC capabilities, and develop a tailored AI integration strategy.
Phase 2: Pilot & Benchmark
Implement AI models on specific, high-impact tasks (e.g., malware analysis) and benchmark performance using CyberSOCEval.
Phase 3: Integration & Optimization
Scale AI solutions across the SOC, refine workflows, and continuously optimize models for improved accuracy and efficiency.
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