AI-Driven SOC

Real-time threat detection with intelligent investigation and autonomous response — built to actually reduce the time and effort spent by security teams.

No vendor lock-in, no rigid playbooks, and no surprise billing — just a predictable, end-to-end security engine that scales with your environment and handles the full incident lifecycle on its own.

"Buffs up your legacy SOC with automated agents, that saves your valuable time"

Feature	Krya	Other AI SOC platforms
Automation	Covers the full lifecycle, counts where it matters	Mostly Enrichment and triage
Technology	Customised RAG, Custom models, adaptive workflows	Static playbooks, limited functionalities
Alert types	Any source (Slack, Discord, custom clients, internal tools)	Vendor specific
Incident response	Autonomous	Manual
Vendor support	Any vendor	Limited
Pricing	Predictable, scaled according to the environment	Unexpected billing surprises

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AI-Powered SOC Pipeline

Data Collection & Ingestion

Collects and ingests vast amounts of raw security event data from multiple sources.

Normalization & Parsing

Transforms raw data into a structured, unified schema to ensure consistency and to analyze.

Correlation & Enrichment

Leverage models to link related data points, enriching raw data with contextual information like threat intelligence.

Embedding & Feature Encoding

Converts structured data into dense vector representations for advanced machine learning analysis.

Detection Engine (LLM Scoring)

Employs large language models to score and detect potential threats in real-time.

Autonomous Investigation

Automatically investigates detected threats using AI-driven workflows.

Triage (Risk-based Prioritization)

Prioritizes alerts based on calculated risk scores for efficient response.

Automated Remediation

Executes automated remediation actions to neutralize threats swiftly.

Insights & Reports

Provides actionable insights and comprehensive reports for security teams, along with customisable chatbots