Overview
Arcanna-AI - Trustworthy AI for Modern SOC
Discover how Arcanna.ai is transforming mission critical operations with Decision Intelligence, an AI-powered approach that enhances human decision-making in mission critical operations.
Arcanna.ai: Blazingly-Fast Trustworthy AI for SOCs
See docs: https://docs.arcanna.ai/docs/introduction/introduction-to-arcannaÂ
Arcanna is an AI SOC platform whose goal is to bring enterprise SOCs into the AI age while preserving the collective knowledge and expertise of their team. We achieve this by building Deep Learning models that embed seamlessly within your existing workflows and continuously learn from the decisions your team makes. This enables us to triage and prioritize alerts how your analysts would--except that we do it at machine speed. This frees up analysts to do more valuable work, such as better defending your organization's attack surface and hunting for undetected attacks.
Designed for seamless integration across AWS security services, Arcanna natively connects within Amazon Bedrock, GuardDuty and Security Hub, providing a headless approach that integrates into existing and future security workflows without adding unnecessary complexity or risks. This is also true beyond the AWS ecosystem, including integrations with leading SIEMs, SOARs, and EDRs.
Named 2024 Gartner Cool Vendor for the Modern SOC, Arcanna is paving the way for trustworthy AI, helping organizations transition towards autonomy while maintaining human oversight in the right places. Our high-speed platform is built for enterprises, MSPs, MSSPs, and governments.
Highlights
- Faster than the Competition: In most customer environments, Arcanna correctly triages alerts in less than 30 seconds, far outpacing competitors who exclusively leverage GenAI. Our patented Deep Learning models enable us to create a machine-speed digital clone of your SOC's collective knowledge.
- Trustworthy: Our AI models create a digital clone of your team, ensuring decisions align perfectly with your established processes. With features like rollback capabilities (safeguarding against accidental or intentional poisoning), transparent feedback tracking, and clear accuracy metrics, you can trust and verify our models' decisions.
- Seamless: Arcanna enables users to create and deploy AI models that embed directly into their existing workflows without writing a single line of code. We integrate with AWS services such as Amazon Bedrock, GuardDuty, and Security Hub, as well as SIEM, SOAR, and EDR platforms. Its headless approach enables frictionless deployment within your workflows, maximizing efficiency without disrupting operations.
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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/v1.63.3Â
Bug fixes:
- Fixed a bug that caused PIT-based searches to fail when the search context could no longer be found.
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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AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.