AI Cyber Analyst | ST Engineering

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Automate in-depth analysis

The AI Cyber Analyst gathers intelligence from diverse sources to provide context and insights comparable to those of Tier 3 analysts. It also offers operational recommendations that enable Tier 1 analysts to perform advanced tasks, such as threat hunting and investigation, effectively bridging the gap between entry-level and advanced expertise.

The AI Cyber Analyst adapts based on feedback and optimises according to operational metrics, continually improving with each use.

It generates comprehensive reports based on the information provided by analysts, ensuring clarity and actionable insights. In addition, we create threat detection use cases using Sigma rules, enhancing the effectiveness of detection systems like security information and event management (SIEM).

Key features

Incorporates user feedback to reduce false positives and optimise performance, continuously improving and evolving its model over time.

Extensive data integration to correlate information and provide analysts with precise recommendations, enhancing the refinement of incident response.

Integrates and automates existing SOC tools. Simplifies tasks by offloading menial tasks, enabling analysts to focus on advanced analysis.

Utilises its AI learning model to generate new detection rules for identifying emerging threats.

Key benefits

Automates mundane, labour-intensive tasks for the analysts. Allows them to focus on more strategic work and maximises productivity and efficiency across cybersecurity teams.

Empowers lower-tier analysts to take on Tier 3-level tasks. This reduces the workload of senior analysts and enables junior analysts to handle more complex responsibilities under supervision.

Enables analysts to focus on valuable analytical activities such as triaging incidents, root-cause analysis, and threat actor attribution.

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Cybersecurity

Global