AI-powered for alert triage and prioritization

Arcanna.ai enhances security operations center (SOC) efficiency by applying artificial intelligence to triage, decision-making, and workflow automation. The company was founded in 2019. Its mission is to help security teams keep pace with rapidly escalating alert volumes and increasingly sophisticated threats, especially as most SOCs remain understaffed and overwhelmed by manual workloads.

The Arcanna.ai platform integrates directly with widely used SIEM and SOAR systems, including IBM QRadar, Fortinet, Splunk, Chronicle, Elastic, Microsoft Sentinel, and Palo Alto Cortex XSOAR. This interoperability allows Arcanna.ai to augment existing security toolchains without requiring analysts to learn new interfaces or switch contexts. By streamlining triage, enrichment, classification, and remediation processes, the platform reduces cognitive load and minimizes time spent on repetitive or low-value tasks.

Arcanna.ai’s core differentiator is its use of reusable, continuously refined decision models that capture the expertise of seasoned SOC analysts. These human-in-the-loop

feedback loops enable consistent, scalable decision-making for alert handling. Customers report meaningful outcomes, including reduced mean time to resolution, increased throughput, fewer false positives, and improved analyst job satisfaction due to decreased burnout.

Arcanna.ai has reportedly raised more than $5 million, including a $3.5 million seed round led by Lytical Ventures and Osage Venture Partners.