The AI-Native Protection Platform Powering Modern Security Operations

Traditional SIEMs weren’t built for today’s world.
Artemis closes that gap with an AI-native Protection Platform designed to dramatically reduce MTTD and MTTR for modern threats.

Trusted by top companies’ security teams all over the world

Detections that adapt to your environment

Artemis learns your technical and business environment, continuously creating and fine-tuning detections specific to you - acting as your AI Detection Engineer

Environment intelligence

Artemis analyzes identity, cloud, endpoint, and network telemetry to highlight security posture hygiene issues, cost savings opportunities, and shadow AI usage. Insights are tailored to your environment - not generic benchmarks.

Threat intel at machine speed

AI analyzes emerging threat intelligence and automatically closes detection gaps for new exploits - acting as your AI Threat Intel Analyst

Traditional Tooling isn’t Effective Enough.
The era of AI is quickly accelerating this.

One Size Doesn’t Fit Any

Generic detections fall short and require highly manual investigation

Ingest Pricing Limits Visibility

Rigid ingestion architecture prevents analysis of all necessary context and telemetry (and cost a lot)

Threat Intel at Human Speed

Going from intel report to detection takes weeks. Attackers move in hours.

Knowledge Walks Out the Door

Team turnover erases context. Detections lose meaning as institutional knowledge disappears with every departure.

Drop a threat report and Artemis will map it to MITRE ATT&CK, check your coverage, and write environment-specific detections based on your assets - ready for review, not research.

Traditional threat hunting requires days of manual work. With Artemis, you simply ask and agents investigate autonomously across your entire environment - asking follow-up questions, correlating evidence, and delivering actionable report your team can act on.

No query syntax to learn. No filters to configure. Ask what you need to know in natural language and get a direct, analytical answer - not a raw table of results.

Stop guessing about coverage. Artemis maps your telemetry against attack patterns and shows exactly where you're blind across Cloud, Identity, Network, and SaaS.

A single view of what's happening across your environment - open cases, metrics, SLAs, and security score - so you spend your time acting, not assembling the picture yourself.

Artemis continuously surfaces insights on security posture, cost, and shadow IT improvements opportunity by building a living model of your assets, users, configurations, and business context.

Detection that catches what others miss

Artemis correlates signals across Identity, Cloud, Endpoint, Network and SaaS sources to surface multi-step attacks that single-source detections would never see.

Full visibility without the ingest tax

AI decides when to bring in data on-demand using federated queries. No forced trade-offs between budget and coverage.

Enriched with context that actually matters

The case is automatically enriched with user roles, asset criticality, and business context. Your team sees who the user is, what they have access to, and why this matters.

Respond with full confidence

Artemis autonomously traces activity across log sources, follow leads, creates a complete investigation with a timeline, evidence chain, reasoning, and recommended response actions.

Case Summary

Security leaders trust Artemis

“Working on cutting edge security products every day, I know what great looks like. We have an exceptionally high bar for the tools we evaluate internally. Artemis exceeds that bar because it’s doing something genuinely different - it feels less like a tool you operate and more like a system that understands your environment and works alongside you. It surfaces the right context, connects dots across systems, and lets you move from question to answer without friction.”

Mike Britton

CIO, Abnormal

“Artemis is a 10x force multiplier for my team. It surfaces the security findings my team needs but doesn't have time to hunt for manually. It quickly became part of how we maintain continuous visibility across our environment.”

Jonathan Jaffe

CISO, Lemonade

“Scale in security operations only works when intelligence quality and operational efficiency improve together. Artemis turns data into actionable intelligence in a way that feels natural, efficient, and adaptive to the environment it operates in. That’s what forward-looking Detection and Response teams need to stay effective at scale.”

Dimitris Papapetros

Senior Director of Cyber Defense, SONY

“What sets Artemis apart is how well it understands our specific environment. The detections aren’t generic — they’re tuned to what’s actually happening in our infrastructure. When the system flags something, my team trusts it, and when it identifies a false positive, it explains why. That level of precision didn’t exist before.”

Branden Wagner

Head of Security, Mercury

“Security should enable the business, not slow it down. Traditional tools increase visibility but introduce complexity and drag on execution. Artemis changes that model. It converts data into intelligence without adding operational overhead, aligns with existing workflows, and continuously adapts to the environment. This is the standard for AI-native SecOps”

Brian Lozada

Director, Amazon Security

“This is what frontier AI looks like in a security platform. Artemis allows customers to see patterns and take action in ways that simply weren’t possible before.”

Umesh Shankar

CVP Engineering, Microsoft AI

“In a global financial institution with strict regulatory requirements and complex infrastructure, trust in security tooling isn’t optional - it’s foundational. Artemis earns trust by quickly integrating with enterprise environments and delivering contextualized intelligence that security teams could act on immediately, while adapting to the specific threat landscape each sector faces.”

Ahmed Pasha

CISO US, Global Financial Institution

"Artemis integrated smoothly into our environment, and the detection quality has been strong. It helps bring together signals from across our systems, giving the team better context during investigations.”