Artemis Security Artemis is an AI-native security operations platform designed to detect, investigate, and respond to threats across cloud, identity, endpoint, network, and SaaS environments. Core Functionality: - Continuously ingests and analyzes telemetry from identity, cloud, endpoint, network, and SaaS sources - Automatically generates and tunes environment-specific detections based on the organization's assets, users, and business context - Correlates activity across all log sources to construct full attack timelines rather than isolated alerts - Covers the full incident lifecycle: detection, enrichment, investigation, correlation, response, and containment AI Capabilities: - AI agents autonomously investigate threats, correlate evidence, and produce actionable reports - Natural language querying allows analysts to ask questions about security data without writing query syntax (SPL, KQL, SQL) - Threat intelligence reports can be ingested and automatically mapped to MITRE ATT&CK, with coverage gaps identified and environment-specific detections generated within minutes - Continuously monitors for shadow AI usage, security posture hygiene issues, and cost savings opportunities Deployment and Integration: - Supports direct log connection, indirect connection via existing SIEM, data pipelines (e.g., Cribl), and data lakes (e.g., Snowflake, Databricks, S3) - Can augment an existing SIEM or function as a standalone replacement - Designed to integrate in under one hour Positioning: - Targets security operations teams seeking to reduce Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR) - Claims a 96% reduction in mean time to resolution compared to legacy tooling