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tagged with all of: threat-detection + cloud-security
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FortiCNAPP is a unified platform designed to enhance cloud security by automating risk management, threat detection, and compliance monitoring across multi-cloud environments. It simplifies and strengthens security operations, enabling teams to quickly identify and respond to threats while maximizing productivity with minimal effort. The solution integrates advanced machine learning to continuously monitor for unusual behaviors and vulnerabilities, improving overall security efficacy.
AWS detection engineering practices were critically assessed after a breach simulation revealed undetected attacker persistence. The team rebuilt their detection capabilities by focusing on key log sources like CloudTrail, VPC Flow Logs, and GuardDuty, emphasizing the importance of correlation across these sources for effective threat detection.
The article explores the persistent nature of attackers in cloud environments, highlighting various tactics they employ to infiltrate and exploit systems. It emphasizes the importance of vigilance and proactive security measures to protect against ongoing threats in the cloud landscape. Strategies for detection and response are discussed to help organizations mitigate risks effectively.
SentinelOne has introduced a new standard in unified cloud security by leveraging truly AI-driven technology. This advancement aims to enhance security measures across various platforms, providing a more integrated and efficient approach to threat detection and response.