“With 2019’s headlines of ransomware, malware and RDP attacks almost behind us, we shift our focus to the cybercrime threats ahead.
Cybercriminals are increasing the complexity and volume of their attacks and campaigns, always looking for ways to stay one step ahead of cybersecurity practices – and more often using the world’s evolving technology against us.
Continuing advancements in artificial intelligence and machine learning have led to invaluable technological gains, but threat actors are also learning to leverage AI and ML in increasingly sinister ways. AI technology has extended the capabilities of producing convincing deepfake video to a less-skilled class of threat actor attempting to manipulate individual and public opinion. AI-driven facial recognition, a growing security asset, is also being used to produce deepfake media capable of fooling humans and machines.
Our researchers also foresee more threat actors targeting corporate networks to exfiltrate corporate information in two-stage ransomware campaigns.
With more and more enterprises adopting cloud services to accelerate their business and promote collaboration, the need for cloud security is greater than ever. As a result, the number of organizations prioritizing the adoption container technologies will likely continue to increase in 2020. Which products will they rely on to help reduce container-related risk and accelerate DevSecOps?
The increased adoption of robotic process automation and the growing importance to secure system accounts used for automation raises security concerns tied to Application Programming Interface (API) and their wealth of personal data.
The threatscape of 2020 and beyond promises to be interesting for the cybersecurity community,” said Raj Samani, Chief Scientist and McAfee Fellow, Advanced Threat Research.
Broader Deepfakes Capabilities
Deepfake video or text can be weaponized to enhance information warfare. Freely available video of public comments can be used to train a machine-learning model that can develop of deepfake video depicting one person’s words coming out of another’s mouth. Attackers can now create automated, targeted content to increase the probability that an individual or groups fall for a campaign. In this way, AI and machine learning can be combined to create massive chaos.
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