CHALLENGES
CHALLENGES
Traditional SOCs cannot keep pace in the generative AI era.
Why you need the AISOC Agent
Issue 01
Missed detection risks from high alert volume and false positives
Traditional SOCs are hitting their limits, relying on brute-force human effort to handle the endless alerts generated by SIEMs and other tools.
Issue 02
Analyst dependency and delayed response
Security incident investigation and assessment rely heavily on the experience and skills of individual analysts, resulting in a lack of speed.
Issue 03
Severe Shortage of Cybersecurity Talent
With intense competition for advanced analytical talent, building and maintaining an in-house 24/7 monitoring operation is extremely difficult.
SOLUTION
SOLUTION
How Yagura AI SOC, the AI SOC Agent, Works
SOLUTION 01
Autonomous Security Alert Investigation Powered by AI
Relying solely on manual analysis to investigate the massive volume of alerts generated daily by SIEM and other security products is no longer sustainable. Organizations need a system that can accurately identify critical threats buried beneath false positives.
Autonomous Investigation
Authenticity Verification
Rapid Resolution
SOLUTION 02
Improving AI Investigation Accuracy
with Context Memory
AI learns your organization's specific knowledge (Wikis, past incident history, and ticket management systems). This enables optimal investigation and decision-making tailored to your organization, moving beyond generic advice.
Knowledge Learning
Contextual Understanding
High-Accuracy Detection
SOLUTION 03
Integrates with 100+ EDR, SIEM,
and Identity Products
Seamlessly integrates via API with over 100 security products, including major EDR, SIEM, and IdP solutions. Build an advanced, automated monitoring system instantly while leveraging your existing environment.
API Integration
Instant Deployment
EVALUATION
EVALUATION
Measure AI SOC outcomes under consistent conditions
In a case involving a major newspaper company, investigation time fell from 2 hours 30 minutes to 2 minutes. Verify results in your own environment through a PoC with consistent scope, period, and measurement start and end points.
Evaluation metric
Investigation completion rate
Manual analysis time
Human resources
From detection to recovery
Scoped / completed alerts
Work time per alert
Total hours during the period
Measurement notes
Mean and median
Include uninvestigated alerts
Compare under the same conditions
Include review effort
CASE STUDY
CASE STUDY
Security Awareness Training Case Study
A multi-channel training example using Yagura Awareness
