Enabling Cybersecurity Automation
With Zietra’s AI Powered Solutions

Why AI / Automation
In Cybersecurity?

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.

Research suggests that ~90%
of the breaches that have happened
recently could have been prevented

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.

Cybersecurity Automation
Powered by Zietra

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 AI / Automation Solutions

User Behaviour Analysis

Zietra’s User Behavior Analysis (UBA) augments PAM offerings with the following features:

  • Anomaly Detection: Continuous Privilege Access monitoring to identify any anomalies against the base line to raise alerts in case of anomalies, to prevent from Zero-day attacks
  • Anomaly Classification: Classify anomalies on occurrence as innocuous or non-innocuous to make the system more intelligent
  • Predictions: Utilizing generated data to make predictions which enable detection of attacks based on the activity sequence

Auto-Remediate Operational Errors

Zietra’s intelligent bots have been designed to auto-remediate Operational Issues by:

  • Sentiment Analysis: Understanding sentiments from the normal log file to determine the health of the server & remediate in case of bad health
  • Error Codes Analysis: Recognizing patterns from error codes for bots to auto-resolve issues removing the need to engage the helpdesk
  • Auto-Remediation: The bots read log files and implement fixes automatically for known issues; With Machine Learning, these bots can also learn and evolve to handle new problems & issues

Task Automation

Now you can automate various tasks under the functional processes, using Zietra to create bots compatible with APIs, to:

  • Enable automation of various operational tasks
  • Automate day to day operational activities
  • Merge multiple APIs to complete tasks automatically
The security automation instances include:
  • Secure remote access
  • Security connectors development
  • Automated user on boarding
  • Vulnerability check and monitoring

Key Features & Benefits

  • Proactive defense against possible threats, attacks or malicious activities with a granular search, providing the intelligence before an incident occurs, to protect your systems
  • Automated log creation of all activities allows for effective monitoring - a preventive measure that enables quicker action in case of a breach
  • Can parse, prioritize and distribute relevant threat information to your security controls in real time, to provide continuous protection
  • Empowers your team / management to make informed decisions, take action and respond in a timely manner
  • Automated mapping of errors or incidents with solutions for auto remediation, that reduces human intervention and also ensures optimum uptime
  • Using AI algorithms, the bots can be trained to detect new threats / malware, run pattern recognition, and detect even the minutest behaviors of malware or ransomware attacks before it enters the system
  • Prescriptive insights from AI-based analytics can help to configure and improve controls & processes that reinforce your cyber security & resilience

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.

To know more about how Zietra can help with customized & automated cybersecurity
solutions for your organization:

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