With digital transformation and digitalization growing rapidly in recent years, especially post the global
pandemic that has left businesses with no other alternative; the cybersecurity surface has also enlarged
massively. This means that to analyze, monitor and improve an organization’s cybersecurity posture to handle
this growing cyber landscape, we need to look beyond human resources, in order to ensure failsafe security.
Artificial Intelligence (AI) is capable of swiftly analyzing large volumes of data and tracking down cyber threats
— from malware to hacking to phishing attacks. With Machine Learning (ML) & Deep Learning (DL)
technologies that can draw on data from the past or present, continually learning and improving, we can
identify, preempt, and successfully prevent these cyber threats / attacks before they occur.
AI and machine learning can help to keep abreast with new cyber threats or attacks, automate threat or error
detection, and also respond more effectively than conventional manual techniques & dated software systems.
Zietra has custom designed AI bots that seamlessly integrate with your cybersecurity platform, including
advanced User Behavior Analytics (UBA) and network flow insights - to accelerate detection of threats or
errors, and drive automation for incident response and remediation.
It provides centralized visibility to detect, inspect and respond to your most critical organization-wide
cybersecurity threats, with an unrivaled context and understanding of possible events and threats.
Zietra’s User Behavior Analysis (UBA) augments PAM offerings with the following features:
Zietra’s intelligent bots have been designed to auto-remediate Operational Issues by:
Now you can automate various tasks under the functional processes, using Zietra to create bots compatible with APIs, to:
Cybersecurity Automation can be enhanced by our consulting and managed services to help with a
comprehensive cybersecurity / threat management program based on your specific needs.
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