A process which is now done manually.
The pressure that security teams are under to keep businesses secure leads to fatigue and a workforce deficit due to analysts changing jobs or leaving the organization. Unfortunately, when this happens, analysts take their knowledge and experience with them and onboarding new analysts takes time in bringing them up to speed on organization specifics.
Cognitive Automation platform that focuses on addressing the alert triage challenges by combining deep learning, automation and user feedback.
This unique mix of capabilities enables Arcanna to analyze, learn from expert knowledge and automate the decision-making process for alert triage.
For organizations, this translates into more time for security experts to focus on hunting, investigating and responding to real threats without being burdened by false positives or irrelevant alerts.
Through feedback, the expert knowledge is captured and encapsulated within the deep learning model assuring that when a decision is made, the knowledge and experience of all your analysts is used.
Arcanna.ai seamlessly integrates within your existing ecosystem, connecting to a multitude of out-of-the-box solutions and custom-built applications through custom connectors.
Integrations are a vital component that enables process streamlining through data collection, processing, automated decision making and post-decision automation.
The bread and butter of Arcanna.ai, AI jobs, represent streams of data processed through the deep learning model to automate alert triage. As alerts are processed, each alert is analyzed by the model and decides if that particular alert should be dropped, is a duplicate or it should be escalated. During this analysis process the knowledge collected by the model from user feedback is applied to each alert, ensuring that all alerts are treated with the utmost importance.
Intuitive, no-code model training through the use of the UI. Your security experts can provide feedback to the decisions of Arcanna.ai enabling the model to learn from the collective knowledge and experience of all your analysts while also adapting to the particularities of your organization.
As feedback is collected the model can be retrained to encapsulate the newly gained knowledge into the automated decision-making process. Through model versioning you can choose whether you want to use your current model or revert to a previous one
Once a decision has been taken by Arcanna.ai, it can be integrated with post-decision tools such as collaboration and messaging tools, incident response platforms or automation tools to further streamline operational processes with smart decision making