Quick Answer
SOC automation uses artificial intelligence to eliminate repetitive security tasks that drain analyst productivity. Instead of manually triaging alerts, enriching threats, and documenting incidents, AI handles these workflows automatically—learning from your environment and adapting to new threats without constant rule updates. This allows security teams to focus on high-value work like threat hunting and strategic defense, while reducing analyst burnout and improving response times.
Key Takeaways
- AI-driven automation handles alert triage, threat enrichment, correlation, and documentation without manual playbook maintenance
- Teams reduce time spent on repetitive tasks by 70%, freeing analysts for strategic security work
- Unlike traditional SOAR, AI automation works immediately without weeks of configuration or complex rule development
- Context-aware AI adapts to new threats automatically, making intelligent decisions that rule-based systems cannot
- Automation enhances analyst effectiveness rather than replacing them, reducing burnout while improving security posture
Intelligent SOC Automation
Eliminate repetitive tasks that drain analyst time. ObsidianOne automates triage, enrichment, correlation, and documentation—letting your team focus on what matters.
See Automation In ActionThe Automation Gap
SOC analysts spend the majority of their time on repetitive, manual tasks: looking up threat intel, enriching alerts, writing tickets, copying data between systems, and documenting findings. This isn't security work—it's administrative overhead that burns out analysts and slows down response.
Traditional SOAR platforms promised to solve this, but they require complex playbook development and maintenance. ObsidianOne takes a different approach: AI-driven automation that works out of the box, learns from your environment, and handles the work that doesn't need human judgment.
What Gets Automated
Alert Triage
AI analyzes every alert to determine severity, business impact, and required response. False positives are filtered; real threats are escalated.
Threat Enrichment
Automatic lookup of IPs, domains, and hashes against threat intel feeds. Every alert arrives pre-enriched with context.
Event Correlation
Related events automatically grouped into incidents. No more manually connecting the dots across thousands of alerts.
Documentation
Incident summaries, timelines, and reports generated automatically. Compliance-ready documentation without analyst time.
Beyond Rule-Based Automation
Traditional automation requires you to define explicit rules for every scenario. If you haven't written a rule for it, it doesn't get automated. ObsidianOne's AI understands security context, recognizing patterns and making decisions that rule-based systems can't.
- No playbook maintenance — AI adapts to new threats without rule updates
- Context-aware decisions — Same alert can be handled differently based on context
- Continuous learning — Automation improves based on analyst feedback and outcomes
- Works immediately — No weeks of configuration before value delivery
Measurable Impact
SOC automation isn't about replacing analysts—it's about making them dramatically more effective. Teams using ObsidianOne report spending 70% less time on manual triage and enrichment, freeing analysts to focus on threat hunting, process improvement, and the high-value work that requires human expertise.
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