Sold by: Arcanna.ai INC.
Deployed on AWS
Arcanna.ai is a decision-intelligence platform for SOC teams that automates alert triage across SIEM and SOAR tools. It applies analyst-trained decision models to safely auto-close false positives with evidence and audit-ready explanations.
Overview
Arcanna.ai is a decision-intelligence platform built for security operations teams and MSSPs that need to scale alert triage without sacrificing control or trust.
Arcanna applies analyst-trained decision models to incoming SIEM and SOAR alerts, reproducing each team's historical decision patterns at machine speed. This enables SOCs to safely auto-close 80-95% of false-positive alerts while preserving evidence, consistency, and accountability.
The platform includes policy-gated automation, explainable outcomes, and continuous feedback loops that detect drift and pause autonomy when risk increases. Every automated action is fully traceable and audit-ready, supporting compliance, investigations, and analyst review.
Deployed via BYOL in the customer's AWS environment, Arcanna integrates with existing security stacks to reduce alert backlog, improve MTTR and SLA performance, and increase analyst capacity without adding headcount.
Highlights
- Automated alert triage at scale: Arcanna safely auto-closes 80-95% of false-positive alerts in seconds by applying analyst-trained decision models to every SIEM and SOAR alert.
- Trustworthy automation by design: Policy-gated autonomy, explainable decisions, rollback controls, and full evidence trails ensure every automated action is transparent, reviewable, and audit-ready.
- Built for enterprise environments: Deploy via BYOL in your AWS account and integrate with existing SIEM, SOAR, and security workflows to scale analyst capacity without changing tools or processes.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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No refund
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
https://docs.arcanna.ai/docs/release_notes/v1.72.0
Features & improvements
- New: Removed old "Decision points" page and switched to the newer and better version of it
- New: Agentic Workflows now supports code versioning, making it possible to revert your current changes to previous saved code
- Improvement: Added some UI quality of life adjustments to Custom Field functionality for a better user experience
- Improvement: AI Assistant can now use existing Agentic Workflows created by the user
- Improvement: AI Assistant now as a "like/dislike" response feedback system
- Improvement: AI Assistant now has response time & date and TTFT(time to first token) indicators
- Improvement: LLM integrations configured on pipelines can now use filtering functionality
Bug fixes:
- Fixed an issue where fields from input integrations would become unusable after validation step
- Fixed an issue where Neo4j integration was unable to use Arcanna specific fields
- Fixed an issue where the Assistant would not work properly with Vertex AI models
- Fixed an issue for Agentic Workflows where the responses were not displayed in a streamlined way
Additional details
Usage instructions
After deploying the AMI, you can login to the web interface by using "admin" as the username, and your <instance-ID> as the password. The web interface is available on the IP address of your instance, on the default port (tcp/443) or (tcp/80). To access it, point your browser to http://ip.add.re.ss (where ip.add.re.ss is the IP address of your instance). Please make sure to configure your security groups so that they only allowed traffic from the desired IP addresses (the default security groups will allow from anywhere).
This Arcanna instance includes a basic license that supports up to two use cases, allowing you to explore its features. To upgrade to a full license, please contact our sales team at https://www.arcanna.ai/contact .
If you want to connect by SSH, you can use the key pair selected when the instance is created. The ssh default username is "ubuntu".
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