Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Everywhere we look, organizations are harnessing the power of large language models (LLMs) to develop cutting-edge AI applications like chatbots, virtual assistants, and more. Yet even amidst the fast pace of innovation, it’s crucial for security teams and developers to take a moment to ensure that proper safeguards are in place to protect company and customer data.

As AI adoptions become increasingly integral to all aspects of society worldwide, there is a heightened global race to establish artificial intelligence governance frameworks that ensure their safe, private, and ethical use. Nations and regions are actively developing policies and guidelines to manage AI’s expansive influence and mitigate associated risks. This global effort reflects a recognition of the profound impact that AI has on everything from consumer rights to national security.

“The best part of RSA is all the amazing people in the community trying to make the world a safer place. It’s also very exciting to see all the innovation to make adversaries’ lives harder – competition and collaboration make us better.” – CEO & Co-Founder Dr. Aleksandr Yampolskiy The SecurityScorecard team has just returned from an incredible week in San Francisco at RSA Conference 2024!

Empowering Citizen Developers: Using Zenity’s Tools in AI-Driven Development The ability to develop applications, automations, and bots without the need for custom coding, has resulted in a paradigm shift for cybersecurity. Now, more than ever, citizen developers can design and implement solutions without the need for a traditional coding background. Due to innovative tools and platforms, as well as the integration of AI, development is now faster, more accessible, and more efficient.

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.

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.