AI is at the heart of technology democratization. As AI tools become more accessible, individuals and organizations have begun to utilize AI copilots to build their own apps, automations and increase productivity in their jobs. This transformation has come to be known as the next evolution of low-code and no-code development. This development promises to accelerate innovation, enhance productivity, and solve complex problems more efficiently than ever before.

The Met Gala, fashion's biggest night, was not just the A-list attendees who stole the spotlight—digital imposters in the form of AI-generated superstars sent social media into a frenzy. As the actual stars showcased their designer ensembles at the gala, X and other platforms were overrun with images of celebrities who were shown to be there, but they actually didn't attend. This new phenomenon has given rise to a online spectacle that is challenging the realms of reality and fantasy.

Meta Llama 3, the latest iteration of Meta's groundbreaking open-source large language model, marks a significant leap forward in artificial intelligence. Focusing on innovation, scalability, and responsibility, it promises to redefine the landscape of language modeling and foster a thriving ecosystem of AI development.

In a move to harness the transformative power of artificial intelligence (AI) while mitigating associated risks, the Executive Office of the President has issued a landmark memorandum directing federal agencies to advance AI governance, innovation, and risk management. Spearheaded by Shalanda D. Young, the memorandum underscores the importance of responsible AI development in safeguarding the rights and safety of the public.

As we navigate through an era increasingly dominated by artificial intelligence, the theme of RSAC 2024, “The Art of the Possible,” couldn’t be more apt. This year, Zenity, a trailblazer in securing and governing business productivity tools like Copilot for M365, Power Platform, Salesforce, and ServiceNow, highlighted the vast possibilities—and the associated risks—of democratized technology and software development.

For security analysts navigating an increasingly complex threat landscape, the ability to quickly identify and respond to attacks is critical. Security information and event management (SIEM) tools have been integral to helping security teams quickly respond to attacks. Now, in the era of generative AI, Elastic is changing the game by delivering AI-driven security analytics to replace SIEM and modernize the SOC.

Many members of the younger generations avoid answering phone calls. On the one hand, this avoidance may be personal, as voice calls can sometimes cause anxiety; however, there is more to these rejections than nervousness. In our ever-evolving world, threat actors are always looking for a new way to manipulate and steal from their victims—and phone calls have become a strange, new frontier for cybercriminal fraud, unlike anything the world has seen before.