Cisco offers several products that use machine learning to enhance network performance, security, and management.
Here are a few examples:
- Click on the product name (in blue) to learn more -
Cisco ACI (Application Centric Infrastructure) is a comprehensive data center networking architecture that leverages ML to:
- Automate Network Configurations: Streamline network setup and policy enforcement.
- Analyze Traffic Patterns: Adjust policies dynamically based on traffic and application requirements.
Cisco Catalyst Center, formerly known as Cisco DNA (Digital Network Architecture), is a comprehensive network management and command center, which uses ML for:
- Network Assurance and Analytics: ML algorithms analyze network telemetry data to provide insights, predict issues, and recommend solutions.
- Automation: Automates routine tasks and network configurations based on learned patterns and behaviors.
- Security: Uses ML for threat detection and mitigation by identifying anomalies in network traffic that may indicate security threats.
Cisco Secure Endpoint, formerly AMP for Endpoints, provides visibility into endpoint activity across the organization, enabling security teams to quickly respond to incidents and mitigate potential risks. It integrates seamlessly with Cisco's broader security ecosystem, enhancing overall threat detection and response capabilities. Secure Endpoint uses ML to:
- Detect Malware: Identify and block malicious software on endpoints.
- Analyze Behavioral Patterns: Recognize unusual activity that may indicate a security threat.
- Respond to Threats: Provide automated responses to detected threats to minimize impact.
Cisco Secure Network Analytics
Cisco Secure Network Analytics, formerly known as Stealthwatch, is a network security analytics and visibility solution that uses ML for:
- Threat Detection: Detects and responds to threats by analyzing network traffic patterns.
- Anomaly Detection: ML algorithms identify unusual behaviors that could indicate a security breach or network issue.
- Network Monitoring: Provides comprehensive visibility into network traffic and performance.
Cisco Secure Workload, formerly known as Cisco Tetration, is a data center and cloud workload protection platform that uses ML for:
- Workload Behavior Analysis: Understands and monitors normal behavior of workloads to detect deviations that could indicate a security issue.
- Policy Recommendations: Provides micro-segmentation policy recommendations to improve security based on ML analysis of application dependencies.
- Compliance Monitoring: Uses ML to continuously monitor and ensure compliance with security policies.
Cisco Umbrella is a cloud-delivered security service that uses ML for:
- DNS Layer Security: Uses ML to analyze and predict which domains are likely to be malicious and block access to those sites.
- Secure Web Gateway: Uses ML to inspect web traffic and enforce security policies.
- Threat Intelligence: Continuously updates its threat intelligence database using ML to identify and categorize new threats.
Cisco XDR (Extended Detection and Response) enhances security operations by unifying security data, detecting sophisticated threats, and automating responses to mitigate potential risks effectively. XDR uses ML to:
- Unify Security Data: Integrate data from multiple sources to provide a comprehensive view of threats.
- Detect Advanced Threats: Identify sophisticated threats that may evade traditional security measures.
- Automate Response: Provide coordinated and automated responses to detected threats.
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