Best AI Tools For Cybersecurity in 2024

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Paritosh

Here are some AI tools that were relevant for cybersecurity:

1. Darktrace:
— Darktrace utilizes machine learning algorithms to detect and respond to cyber threats in real-time. It focuses on anomaly detection and behavioral analysis to identify deviations from normal network behavior.

2. CylancePROTECT:
— CylancePROTECT is an endpoint security solution that uses artificial intelligence to prevent malware and other threats. It employs machine learning models to identify and stop malicious files before they can execute.

3. IBM QRadar:
— IBM QRadar is a security information and event management (SIEM) solution that incorporates AI for threat detection and response. It uses behavioral analytics and anomaly detection to identify potential security incidents.

4. Symantec Endpoint Protection:
— Symantec Endpoint Protection employs advanced machine learning techniques to protect endpoints from various forms of malware and cyber threats. It uses AI to analyze and block malicious behavior.

5. Cisco Umbrella:
— Cisco Umbrella is a cloud-delivered security service that uses machine learning to analyze large datasets and identify potential threats. It provides protection against malware, phishing, and other cyber threats.

6. Vectra AI:
— Vectra AI focuses on network detection and response, utilizing AI to detect and respond to cyberattacks in real-time. It analyzes network traffic and behavior to identify anomalies and potential security incidents.

7. FireEye Helix:
— FireEye Helix is a cloud-based security operations platform that integrates various security tools. It leverages machine learning to help organizations detect and respond to advanced threats.

8. CrowdStrike Falcon:
— CrowdStrike Falcon is an endpoint protection platform that uses artificial intelligence and behavioral analytics to detect and prevent cyber threats. It aims to provide advanced threat intelligence and response capabilities.

It’s important to note that the effectiveness of these tools can vary based on the specific cybersecurity needs and the evolving nature of cyber threats. Organizations often adopt a multi-layered security approach, combining AI tools with traditional cybersecurity measures for comprehensive protection.

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