{"id":145188,"date":"2023-12-29T12:12:51","date_gmt":"2023-12-29T12:12:51","guid":{"rendered":"https:\/\/www.techopedia.com"},"modified":"2023-12-29T12:13:28","modified_gmt":"2023-12-29T12:13:28","slug":"tech-ceos-share-8-top-ai-trends-to-watch-in-2024","status":"publish","type":"post","link":"https:\/\/www.techopedia.com\/top-ai-trends","title":{"rendered":"Tech CEOs Share 8 Top AI Trends to Watch in 2024"},"content":{"rendered":"

2023 alone has been a massive year for generative AI<\/a>, with GPT-4, GPT-4<\/a>, GPT-4V, Google Bard<\/a>, PaLM 2, and Google Gemini<\/a> all launching this year as part of a fast-brewing arms race to automate day-to-day workflows.<\/p>\n

To get some insight into what\u2019s next, Techopedia asked some of the top CEOs in enterprise tech to find out how they believe AI will impact organizations in 2024 and the top AI trends they see emerging. The comments below have been edited for brevity and clarity.<\/p>\n

The Rise of AI-Fueled Malware<\/span><\/h2>\n

We will soon see the rise of generative AI-fueled malware<\/a> that can essentially think and act on its own. This is a threat the U.S. should be particularly concerned about coming from nation-state adversaries.<\/p><\/blockquote>\n

We will see attack patterns that get more polymorphic, meaning the artificial intelligence<\/a> (AI) carefully evaluates the target environment and then thinks on its own to find the ultimate hole in the network or the best area to exploit and transforms accordingly.<\/p>\n

READ MORE: <\/strong>12 Highest Paid AI Jobs for 2024<\/strong><\/a><\/p>\n

Rather than having a human crunching code, we will see self-learning probes that can figure out how to exploit vulnerabilities based on changes in their environment.<\/p>\n

Patrick Harr, CEO at SlashNext<\/a>\u00a0<\/em><\/p>\n

Passkey Adoption Will Increase<\/span><\/h2>\n

There\u2019s a dark side of the AI boom that not many consumers or businesses have realized: cybercriminals are now able to make their phishing<\/a> attacks more credible, frequent, and sophisticated by leveraging the power of generative AI<\/a>, such as WormGPT<\/a>. As we enter 2024, this threat will grow in size and scale.<\/p>\n

Against this backdrop, we\u2019ll reach the tipping point for mass passkey<\/a> adoption (although there will still be a significant period of transition before we reach a truly passwordless future).<\/p>\n

 <\/p>\n

In the past year, passkeys became more commonplace across platforms, and Big Tech \u2013 from Google<\/a> to Amazon<\/a> \u2013 implemented various levels of passkey support.<\/p><\/blockquote>\n

However, passkeys will ultimately surpass passwords as the status quo technology once the consequences of not adopting a more secure, phishing-resistant form of authentication become clear in the wake of increasingly harmful and costly cyberattacks.<\/p>\n

John Bennett, CEO at Dashlane<\/a>\u00a0<\/em><\/p>\n

Adding Safeguards to AI Models<\/span><\/h2>\n

Safety and privacy must continue to be a top concern for any tech company, regardless of whether it is AI-focused or not. When it comes to AI, ensuring that the model has the necessary safeguards, feedback loop, and, most importantly, mechanism for highlighting safety concerns is critical.<\/p><\/blockquote>\n

As organizations continue to rapidly adopt AI in 2024 for all of the efficiency, productivity, and democratization of data benefits, it\u2019s important to ensure that as concerns are identified, there is a reporting mechanism to surface those, in the same way, a security vulnerability would be identified and reported.<\/p>\n

David Gerry, CEO at Bugcrowd<\/a>\u00a0<\/em><\/p>\n

LLMs Will Reshape Cloud Security<\/span><\/h2>\n

In 2024, the evolution of Generative AI (Gen AI) and Large Language Models (LLM<\/a>), initiated in 2023, is poised to redefine the cybersecurity<\/a> chain, elevating efficiency and minimizing manpower dependencies in cloud security.<\/p>\n

One example is detection tools fortified by LLMs. We\u2019ll see LLMs bolster log analysis, providing early, accurate, and comprehensive detection of both known and elusive zero-day attacks<\/a>.<\/p>\n

READ MORE:<\/strong><\/p>\n