It's critical for healthcare sector entities considering - or already using - generative AI applications to create an extensive threat modeling infrastructure and understand all attack vectors, said Mervyn Chapman, principal consultant at consulting and managed services firm Ahead.
Public-private cybersecurity councils urged the healthcare industry to be more expansive in sharing signs of hacking, warning that traditional indicators aren't enough. Fending off hackers requires additional shared data, such as SIEM rules and automated response playbooks.
The fear that ChatGPT could turn a low-sophisticated hacker into a sophisticated adversary is unfounded, said Howard Marshall, global intelligence lead, Accenture Security. He says most hackers lack the expertise and education to create sophisticated malware.
While a significant number of attacks are not yet AI-driven, there's a noticeable shift in the creation of generative malware and lures for business email compromise, warned Ashan Willy, CEO at Proofpoint. LLMs are being used to create enticing lures in foreign languages to target broader audiences.
Enterprises have been keenly exploring the potential of generative AI, deploying it to fuel innovation. But stealthy integration of AI features into products already owned by organizations has cybersecurity experts worried, said Jeff Pollard, vice president and principal analyst at Forrester.
Will AI take my job? Maybe or maybe not. But it can certainly help ease the shortage of skilled workers by automating routine tasks and supplementing human skills. Jon France, CISO at ISC2, sheds light on how generative artificial intelligence is addressing this critical challenge.
Business email compromise continues to be a significant threat and is one of the most financially damaging online crimes. Attackers continue to innovate and grow in sophistication, which means defenders need to leverage new technology, warned Mike Britton, CISO of Abnormal Security.
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Sharing information and threat intelligence "collectively" is critical in order for health and public health sector entities to be able to defeat their cyber adversaries, said Nitin Natarajan, deputy director of the Cybersecurity Information and Security Agency.
The nature of fraudulent content has taken on new dimensions with the emergence of generative AI. This new era has ushered in tools capable of creating fake images, voices and videos that can be difficult to distinguish from genuine content, warned Bryan Ware, chief development officer at ZeroFox.
Chen Burshan, the CEO of Skyhawk Security, wants to use the power of generative AI as part of the threat detection flow. Organizations with risk management tools in place and risk reduction occurring are still getting breached and therefore need to focus more on threat detection, he said.
The U.S federal government is advocating for artificial intelligence developers to embrace security as a core requirement, warning that machine learning code is particularly difficult and expensive to fix after deployment. CISA has an ongoing campaign to promote security by design.
The cybersecurity industry remains resilient in the face of recession fears, said Alberto Yépez, co-founder and managing director of Forgepoint Capital. Amid economic shifts and technological advancements, the market is adapting to new challenges and opportunities.
Conventional wisdom recommends to never negotiate with ransomware actors. They can't be trusted. But Mark Lance at GuidePoint Security recently made the case that organizations can gather important information through negotiations, slow down the process and even lower the ransom demand.
Recorded Future has joined CrowdStrike and Google atop Forrester's external threat intelligence services rankings, while Kaspersky tumbled from the leaders category. Leading threat intelligence providers have expanded into adjacent use cases such as brand protection and vulnerability management.
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