Artemis Security

What Artemis Security does

Artemis Security is building an AI-native Protection Platform that helps companies detect and defend against AI-driven threats. It aims to reduce Mean Time To Detect (MTTD) and Mean Time To Respond (MTTR) by providing precise, contextualized detections and adaptive coverage. The platform streams only detection-critical logs and retrieves the rest on demand, reducing cost while ensuring full visibility. It continuously adapts to changes in the environment and threat intelligence landscape to maintain detection coverage. Artemis focuses on converting data into intelligence without adding operational overhead, aligning with existing workflows, and autonomously correlating signals across identity, network, and cloud to surface attack narratives instead of alert noise.

Products

• Artemis AI-Native Protection PlatformAn AI-native platform that builds a living model of your environment, autonomously correlates signals across identity, network, and cloud, and surfaces attack narratives instead of alert noise. It provides precise detections with actionable context, adaptive coverage, and lower cost through intelligent, federated telemetry.

Key capabilities

• AI-driven defense
• Reliable detection and containment of threats
• Actionable context for detections
• Streaming of detection-critical logs
• On-demand retrieval of other logs in a federated manner
• Cost reduction through intelligent telemetry
• Full visibility
• Agentic and continuous adaptation to environmental changes
• Continuous adaptation to threat intelligence landscape
• Stronger protection
• Dramatically reduces MTTD and MTTR
• Converts data into intelligence without operational overhead
• Aligns with existing workflows
• Autonomously correlates signals across identity, network, and cloud
• Surfaces attack narratives instead of alert noise
• Integrates with enterprise environments
• Delivers contextualized intelligence
• Adapts to specific threat landscapes
• Understands specific environments
• Detections are tuned to infrastructure
• Explains false positives
• Helps bring together signals from across systems
• Provides better context during investigations
• 10x force multiplier for security teams
• Surfaces security findings teams need
• Maintains continuous visibility across environments

Use cases

• Detecting and defending against AI-driven cyber threats
• Modern Security Operations (SecOps)
• Reducing Mean Time To Detect (MTTD)
• Reducing Mean Time To Respond (MTTR)
• Stopping attacks before adverse impact
• Integrating with enterprise environments for security tooling
• Delivering contextualized intelligence for security teams
• Adapting to specific threat landscapes
• Understanding specific IT environments for precise detections
• Converting data into intelligence for security
• Aligning with existing security workflows
• Correlating signals across identity, network, and cloud
• Surfacing attack narratives
• Improving intelligence quality and operational efficiency in security operations
• Providing better context during security investigations
• Surfacing security findings for teams
• Maintaining continuous visibility across IT environments

AI approach

Artemis Security is building an AI-native Protection Platform that uses AI to detect and contain cyber threats. It leverages AI to adapt to changes in the environment and threat landscape, correlate signals across identity, network, and cloud, and surface attack narratives. The platform aims to reduce mean time to detect and respond to threats by providing precise detections with actionable context and adaptive coverage.

Tech named: AI/ML, AI-native Protection Platform

Industries served

• Global Financial Institution
• Scaling Tech Companies

What it says sets it apart

• AI-native protection platform
• Built for AI-driven threats, unlike traditional SIEMs
• Dramatically reduces MTTD and MTTR
• Delivers precise detections with actionable context
• Adaptive coverage
• Lower cost through intelligent, federated telemetry
• Streams only detection-critical logs, retrieves others on demand
• Agentically and continuously adapts to environmental changes and threat intelligence
• Detections are tuned to specific environments, not generic
• Explains false positives
• Converts data into intelligence without adding operational overhead
• Aligns with existing workflows
• Autonomously correlates signals across identity, network, and cloud
• Surfaces attack narratives instead of alert noise
• Early deployments cut mean time to detect and respond by 94%
• Integrates quickly with enterprise environments
• Provides a 10x force multiplier for security teams
• Helps maintain continuous visibility across environments

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.