Enabling AI-powered Smarter Cybersecurity Solutions
Service offerings for Enabling AI driven Cyber Security for Security Intelligence, Operations and Analytics, Malware Detection and Vulnerability management Solutions-
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Digital Risk Management
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Identity and Access Management
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Endpoint Detection and Response
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Cloud Access Security Brokers
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Spam Prevention and Phishing Blocking
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Behavioural Analysis
Artificial Intelligence for Cybersecurity Threats Mitigation
Cyber Threat Analysis and Model Security Solutions for Enterprises
Threat and Vulnerability
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
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
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.
AI Driven Cyber Security Solutions
Role of Artificial Intelligence in Cybersecurity
Enabling AI to recognize patterns for detecting and mitigating security vulnerabilities
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.
Network Security and Accuracy
It involves Alert Correlation, Signature-Based Anomaly Detection, Attack Detection Algorithm, and Multiple Detection Methods, Algorithm Selection.
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.
Vulnerability Management
It involves Source Data Transformation comprising User Activity, Application Activity, DataBase Activity, Network Activity, Distributed Data Storage, Public Key Infrastructure, and Encryption.
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.
Reliability and Usability
It involves Data Ingestion Monitoring, Maintenance of Multiple Copies, Dropped Netflow Detection, and Alert Ranking.
Cybersecurity Insights
An Integrated Approach to Cloud-Native Security and Observability
Cloud-native security differs from traditional security in that it requires a comprehensive approach to security and observability at all stages of workload deployment—build, deploy, and runtime.
21 April 2020
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Adapt to new evolving tech stack solutions to ensure informed business decisions.
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Leverage the True potential of AI-driven implementation to streamline the development of applications.
