Modern Security Operations Centres (SOCs) can get overloaded with information. Analysts face tens of thousands of daily alerts, fragmented across SIEM, IDS, EDR, and CTI platforms. The vast majority of these alerts are false positives but hidden among them are genuine threats that demand immediate action.
This massive discrepancy between false positives and real threats is the root cause of the so-called alert fatigue which leads to delayed responses and eventually to increased risk exposure. SYMBIOTIK aims to turn the tables: By fusing adaptive visualizations, AI-driven awareness, and autonomous decision-making frameworks, we are building SOCs that are not only reactive but proactive. At Sphynx, our role is to validate this vision through realistic use cases, and a key enabler we see on the horizon is the use of Large Language Models (LLMs).
Why LLMs in SOCs?
LLMs, such as GPT-style transformers, are designed to process and reason over unstructured data. SOC environments generate vast amounts of such unstructured data in the form of incident reports, logs, CTI feeds, playbooks, and analyst notes.
What makes LLMs valuable here is their ability to:
- Summarize alerts into natural language explanations.
- Cluster related events into coherent incident narratives.
- Translate CTI feeds into actionable intelligence tailored to specific organizations.
- Assist in decision-making by reasoning over playbooks and recommending next steps.
In other words, LLMs serve as the link between detection (raw technical signals) to decision (concrete, context-aware action).
SYMBIOTIK’s Advantage: Visualization + LLMs
LLMs alone are not enough: a SOC analyst also needs the right visualisation to act on insights. This could be addressed via the following:
- Adaptive Dashboards: Instead of static SIEM screens, the visual layer can adapt by hiding irrelevant noise
- Context Awareness: Dashboards can change based on whether the user is a novice analyst or a senior incident responder
- Trust & Transparency: Every LLM recommendation can be paired with evidence (logs, CTI references) and KPIs
As a result, we get a SOC environment that is intelligent, explainable, and human-centric. This transformation fundamentally changes how security teams operate. Instead of being overwhelmed by data, analysts can focus on genuine threats with just the right context they need to respond effectively.