As technology advances, the role of network engineers continues to evolve.
With the proliferation of complex networks and the increasing demands for efficiency and security, network engineers are turning to artificial intelligence (AI) to streamline their workflows and enhance their capabilities.
In this blog post, you’ll explore the top 10 AI-powered tools that every network engineer should know about:
1. Cisco DNA Center
Cisco DNA Center is a centralized network management platform that harnesses the power of AI and machine learning to:
> Automate network operations.
> Enhance security.
> Optimize performance.
With features like automated network provisioning, intelligent threat detection, and dynamic policy enforcement, Cisco DNA Center empowers network engineers to manage their networks more efficiently and effectively.
2. Juniper Mist AI
Juniper Mist AI is an AI-driven networking solution that leverages machine learning to automate:
> Network operations
> Troubleshoot issues
> Optimize user experiences.
By continuously monitoring network performance and user behaviour, Juniper Mist AI can proactively identify and resolve issues before they impact end users to ensure a seamless and reliable network experience.
3. Darktrace
Darktrace is an AI-powered cybersecurity platform that uses machine learning algorithms to detect and respond to cyber threats in real-time.
By analyzing network traffic and user behaviour, Darktrace can identify anomalies and suspicious activities that may indicate a potential security breach, which allows network engineers to take immediate action to mitigate the threat.
4. Trellix
Trellix is an AI-driven network security platform that provides advanced threat detection and prevention capabilities.
By leveraging AI and machine learning, Trellix can identify and block sophisticated cyber threats, including malware, ransomware, and advanced persistent threats, which helps network engineers protect their networks from cyber attacks.
5. SolarWinds Network Performance Monitor
SolarWinds Network Performance Monitor is a comprehensive network performance monitoring tool that offers AI-powered analytics for proactive monitoring, troubleshooting, and optimization of network infrastructure.
With features like:
> Intelligent alerting
> Predictive analytics
> Automated root cause analysis
The SolarWinds Network Performance Monitor helps network engineers identify and resolve performance issues before they impact end users.
6. Aruba NetInsight
Aruba NetInsight is an AI-driven analytics and assurance platform that provides predictive insights, automated troubleshooting, and optimization recommendations for network performance.
By continuously monitoring network traffic and performance metrics, Aruba NetInsight can identify potential issues and recommend proactive measures to optimize network performance and reliability.
7. Forward Networks
Forward Networks offers a platform for network modelling, verification, and analytics, powered by AI algorithms to improve:
> Network reliability
> Security
> Compliance.
By creating a digital twin of the network infrastructure, Forward Networks enables network engineers to:
> Visualize and analyze network behaviour.
> Identify potential misconfigurations.
> Ensure compliance with industry best practices and regulatory requirements.
8. NetBrain
NetBrain is a network automation platform that uses AI to:
> Map and document network infrastructure.
> Automate troubleshooting workflows.
> Optimize network operations.
By providing a centralized repository of network knowledge and automating repetitive tasks, NetBrain helps network engineers streamline their workflows and improve productivity.
9. Palo Alto Networks Cortex Xpanse
Cortex Xpanse is an AI-driven platform for discovering and monitoring all internet-connected assets, providing visibility and security insights for network infrastructure.
By continuously monitoring the internet for new assets and potential security risks, Cortex Xpanse helps network engineers identify and mitigate security vulnerabilities before they can be exploited by cyberattackers.
10. Vectra AI
Vectra AI offers an AI-powered network detection and response platform that detects and responds to cyber threats in real-time, providing visibility and threat hunting capabilities for network security.
By analyzing network traffic and user behaviour, Vectra AI can identify and prioritize security incidents, enabling network engineers to respond quickly and effectively to potential security breaches.
Final Words
As network infrastructure becomes more complex and cyber threats become more sophisticated, AI-powered tools are becoming essential for network engineers to effectively manage and secure their networks.
By leveraging the power of AI and machine learning, these tools empower network engineers to automate routine tasks, proactively identify and mitigate security risks, and optimize network performance, ultimately enabling them to meet the demands of today’s dynamic and interconnected world.
So as a network engineer, embrace these AI tools to boost your career.
If you want to become a network engineer with India’s leading networking institute, click here now.
Happy Reading 🙂
