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A little over three dozen security vulnerabilities have been disclosed in various open-source artificial intelligence (AI) and machine learning (ML) models, some of which could lead to remote code execution and information theft
Hackers Can Use the Attack Method to Manipulate ML Model Output and Steal DataResearchers have found a new way of poisoning machine learning models that could allow hackers to steal data and manipulate the artificial intelligence unit's output. Using the Sleepy Pickle attack method, hackers can inject malicious code into the serialization process, said Trail of Bits.
Why Data Exfiltration Detection is Paramount? The world is witnessing an exponential rise in ransomware and data theft employed to extort companies. At the same time, the industry faces numerous critical vulnerabilities in database software and company websites. This evolution paints a dire picture of data exposure and exfiltration that every security leader and team is grappling with. This
Threat actors can weaponize code within AI technology to gain initial network access, move laterally, deploy malware, steal data, or even poison an organization's supply chain.