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Advanced Persistent Threats Explained Through Mr. Robot
Manage episode 506404906 series 2521414
Advanced persistent threats represent one of the most dangerous cyber security challenges facing organizations today. These long-term, stealthy attacks allow hackers to maintain undetected access to networks for extended periods. In this episode, we analyze multiple APT scenarios from Mr. Robot, including the Evil Corp hack, Ollie's compromised laptop, and the Dark Army's infiltration of Allsafe. We explore how threat actors establish footholds, maintain persistence, and operate across different network segments. From raspberry pi devices hidden in executive washrooms to compromised thermostats communicating with other facilities, we examine the various ways APTs can manifest. Our discussion covers detection methods, the importance of monitoring new devices, and why proper incident response goes far beyond simple malware scans. Learn the red flags to watch for and why machine learning tools are becoming critical for identifying suspicious network behavior.
329 episodes
Manage episode 506404906 series 2521414
Advanced persistent threats represent one of the most dangerous cyber security challenges facing organizations today. These long-term, stealthy attacks allow hackers to maintain undetected access to networks for extended periods. In this episode, we analyze multiple APT scenarios from Mr. Robot, including the Evil Corp hack, Ollie's compromised laptop, and the Dark Army's infiltration of Allsafe. We explore how threat actors establish footholds, maintain persistence, and operate across different network segments. From raspberry pi devices hidden in executive washrooms to compromised thermostats communicating with other facilities, we examine the various ways APTs can manifest. Our discussion covers detection methods, the importance of monitoring new devices, and why proper incident response goes far beyond simple malware scans. Learn the red flags to watch for and why machine learning tools are becoming critical for identifying suspicious network behavior.
329 episodes
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