rapidroot.ai

Introducing the
Rapid Root AI
Security Platform

Our goal is to implement a cutting-edge AI-driven approach for conducting swift and precise root cause analysis in response to ongoing incidents.

rapidroot-ai

Cutting-Edge AI-Driven Approach

Our Objective

Our goal is to implement a cutting-edge AI-driven approach for conducting swift and precise root cause analysis in response to ongoing or past cyber incidents. Utilizing advanced AI technology, we aim to dramatically decrease the analysis time from weeks and days to mere minutes and hours. This rapid analysis will be pivotal in guiding companies during critical periods, offering clear and directed strategies for their recovery efforts.

Frequency Of Cyber Incidents

Problem Statement

The frequency of cyber incidents is alarmingly high, and breaches are occurring more frequently than ever, despite the presence of sophisticated security monitoring systems. Attackers are consistently outmaneuvering security defenses. One major challenge for customers is achieving complete visibility in their environments; there always seems to be a vulnerability. Security teams are currently bogged down, spending weeks manually sifting through logs to identify the root cause and timeline of incidents.

rapidroot-ai
rapidroot-ai

Swift And Efficient AI-Powered Solution

Solution

We propose a swift and efficient AI-powered solution capable of delivering in-depth root cause analysis and customized recommendations tailored to specific cyber incidents. This approach significantly accelerates the recovery process, reducing it to a matter of minutes.

We bring our AI to secure your data,
to stop what others cannot

Cloud

Email

Apps

Network

Zero Trust

IOT

Large Language Model (LLM)

Technology

The solution leverages a Large Language Model (LLM) capable of analyzing vast datasets from sources such as firewalls, servers, Windows environments, and EDR logs, covering incidents or data from the last 30 days. This involves processing a substantial volume of data. Following the analysis, the LLM generates a detailed incident timeline, identifies the root cause, and provides bespoke recommendations. This not only aids in rapid recovery but also enhances the organization's defences against future breaches.

rapidroot-ai

Less noise. More clarity.

It takes an average of 9 months to identify and contain a breach. With Vectra AI, it's closer to 9 minutes.