Cisco Cognitive Intelligence [EOL] vs Cisco Secure Network Analytics comparison

Cognitive Threat Analytics (CTA) enhances web security with breach detection and analytics to stop threats in the network. Online threats have become increasingly sophisticated, targeted attacks are on the rise, and cybercriminals launch their campaigns through a variety of vectors. They can serve up malvertising and deploy exploit kits that install rootkits. They can establish a botnet presence within your infrastructure. Once cybercriminals establish a foothold, more than 90 percent of their threats use the web. There, they can establish channels for command-and-control communications and exfiltrate sensitive information. Analyzing more than 10 billion web requests daily, Cisco Cognitive Threat Analytics finds malicious activity that has bypassed security controls, or entered through unmonitored channels (including removable media), and is operating inside an organization’s environment. Cognitive Threat Analytics is a cloud-based product that uses machine learning and statistical modeling of networks. It creates a baseline of the traffic in your network and identifies anomalies. It analyzes user and device behavior, and web traffic, to discover command-and-control communications, data exfiltration, and potentially unwanted applications operating in your infrastructure.

Cisco Secure Network Analytics enhances network security through integrated threat detection and detailed traffic visibility, optimizing performance with AI analytics and strong platform integrations.

Cisco Secure Network Analytics offers deep visibility into network traffic, with tools like network maps and server response times. Its AI-driven analytics help detect threats, focusing on east-west traffic. Integration with platforms such as pxGrid and ISE complements its capabilities. Reporting and telemetry help in identifying bandwidth issues, yet improvements are desired in AI for better data organization. Installation complexity and false positives present challenges, and managing network loads effectively is a recognized need.

• Deep Visibility: Provides comprehensive insights into network traffic and server behavior.
• Network Maps: Enhances understanding of traffic flow and infrastructure layout.
• AI Analytics: Uses AI for superior threat detection and anomaly recognition.
• Integration: Compatible with platforms like pxGrid and ISE for enhanced security management.
• Telemetry: Delivers detailed bandwidth usage and traffic analysis reports.

• Enhanced Security: Elevates threat detection and response capabilities.
• Traffic Insights: Identifies encrypted and anomalous network behaviors.
• Compliance Support: Assists in meeting industry standards for data protection.
• Endpoint Protection: Guards network endpoints against potential threats.

Industries such as banking, defense, and police rely on Cisco Secure Network Analytics for securing networks against threats. Its capability to provide insights into encrypted traffic and facilitate device auditing makes it a sought-after choice for those requiring extensive network visibility. Users appreciate its application for threat prevention and response in demanding sectors.