Overview
Conifers AI is a platform that leverages AI to achieve SOC excellence by working with existing SecOps teams, tools, and portals to solve complex problems at scale with maximum accuracy and efficiency.
Key Features:
- Adaptive learning and deep understanding of institutional knowledge
- Telemetry pipeline for maximum accuracy and environmental awareness
- Seamless integration with existing tools and portals for no disruption to workflows
Use Cases:
- Classification and investigation of incidents
- Enrichment, analysis, and resolution of incidents
- Telemetry feedback loop for continuous improvement
Benefits:
- Increased accuracy, consistency, and speed
- Unique staged implementation framework for building trust in AI
- Predictable and affordable costs with measurable ROI and risk level
Capabilities
- Investigates complex, multi-tier security incidents at scale
- Integrates with existing incident management and ticketing tools
- Automates the triage and analysis of security incidents
- Provides contextual analysis of security incidents
- Manages tenant-specific baselines and knowledgebases
- Applies adaptive learning to refine investigations
- Generates tailored response plans for incidents
- Deploys multi-model AI approaches (LLMs, machine learning, statistical analysis, static analysis)
- Augments security tools, portals, and processes
- Translates tactical outputs into strategic insights and KPIs
- Reduces investigation times for security teams
- Detects and analyzes threats with enhanced accuracy
- Ingests and processes security event data
- Supports analysts with tiered assistance
Add your comments