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Generative AI for CyberSecurity


Generative AI enabling Smarter Cybersecurity Solutions

Cybersecurity is one of the many areas where Generative Artificial Intelligence has many uses. By developing predictive models, producing simulated environments, and analyzing massive amounts of data, GenAI can fundamentally change cybersecurity, including cloud-based devices, and allow for the early detection and mitigation of attacks.

  • XenonStack Digital Risk Management

    Digital Risk Management

  • XenonStack Identity and Access Management

    Identity and Access Management

  • XenonStack Endpoint Detection

    Endpoint Detection and Response

  • XenonStack Cloud Access Security Brokers

    Cloud Access Security Brokers

  • XenonStack Spam Prevention

    Spam Prevention and Phishing Blocking

  • XenonStack Behavioural Analysis

    Behavioural Analysis

Generative Artificial Intelligence Gen AI for Cybersecurity Threats Mitigation

Cyber Threat Analysis and Model Security Solutions for Enterprises

Threat and Vulnerability

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Security Analytics to understand and detect risk level of vulnerabilities. Artificial Intelligence, Machine Learning, and Deep Learning techniques to reduce human error. Identify security breaches and eliminate obstructions.

System and Network Security

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It involves Network Security, Cloud Security, IoT Security, Malware, and Autonomous Security. Operational Management and elimination of security issues, understand risks and threats to the internal system.

Data and Application Security

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It includes analyzing advanced threatening behavior, evolving internal architecture to scan system deficiencies. Data and Application Security involves Security Analytics, Threat Prediction, Spam Detection, and Data Privacy.

Role of Generative AI in Cybersecurity

Enabling AI to recognize patterns for detecting and mitigating security vulnerabilities

XenonStack Performance Clustering

Endpoint Security

The remote work trend and the rise of connected endpoints have created many cybersecurity challenges. Modern AI-driven endpoint response and detection can proactively block and isolate malware and ransomware threats.

XenonStack Network Security

Network Security and Accuracy

It involves Alert Correlation, Signature-Based Anomaly Detection, Attack Detection Algorithm, and Multiple Detection Methods, Algorithm Selection.

XenonStack Scalability

Security Orchestration, Automation, and Response (SOAR) 

It involves Dropped Netflow Detection, Dynamic Load Balancing, and MapReduce. Netflow Detection involving Netflow Sequence Monitoring, Netflow Collection, Netflow Storage and Data Analysis, generating warning messages.

XenonStack Vulnerability Management

Vulnerability Management

It involves Source Data Transformation comprising User Activity, Application Activity, DataBase Activity, Network Activity, Distributed Data Storage, Public Key Infrastructure, and Encryption.

XenonStack Alert Ranking

Threat Intelligence

The pre-processed security event data is forwarded to the Data Analysis module, which analyses the data for detecting threats beforehand. Alerts are sent to the threat mitigation team for instant action.

XenonStack Reliability and Usability

Reliability and Usability

It involves Data Ingestion Monitoring, Maintenance of Multiple Copies, Dropped Netflow Detection, and Alert Ranking.

Cybersecurity Insights

Request for Services

Find out how Generative AI aid in the detection of cyber threats and the protection of systems from the human error and other vulnerabilities that lead to breaches.

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