Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Analysis of malicious large language model (LLM) offerings on the dark web uncovers wide variation in service quality, methodology and value – with some being downright scams. We’ve seen the use of this technology grow to the point where an expansion of the cybercrime economy occurred to include GenAI-based services like FraudGPT and PoisonGPT, with many others joining their ranks.

In the oft-obscure world of Architecture, Engineering, and Construction (AEC), the structures we see reaching for the skyline are not just feats of design and engineering but archives of data, each rivet and beam a data point in a colossal network of information. Yet, with these digital monoliths comes an invisible vulnerability – data control, a challenge that’s upending the AEC industry.

Large Language Models (LLMs) have become indispensable tools across various sectors, reshaping how we interact with data and driving innovation in sensitive domains. Their profound impact extends to areas such as healthcare, finance, and legal frameworks, where the handling of sensitive information demands heightened security measures.

Since ChatGPT launched in November 2022, generative AI has emerged as one of the fastest-adopted technologies in the workplace ever. But, as seen in past paradigm shifts like cloud computing, the productivity benefits of this new technology are balanced with new risks.

The content of this post is solely the responsibility of the author. LevelBlue does not adopt or endorse any of the views, positions, or information provided by the author in this article.

AI is everywhere—but how can you be sure that your data isn’t being used to train the AI models that power your favorite SaaS apps like Slack? This topic reached a fever pitch on Hacker News last week, when a flurry of Slack users vented their frustrations about the messaging app’s obtuse privacy policy. The main issue?

RSA Conference, held annually in San Francisco in the spring, defines itself as an information security event that connects industry leaders and highly relevant information. 50,000 people attended in 2024, and of course, the Sumo Logic team was there to offer insights and to learn from others at the conference. During a LinkedIn Live from the show, Sumo Logic VP of Product Marketing Michael Cucchi talked about the show floor being noisy and repetitive.

In the rapidly changing cybersecurity landscape, Identity and Access Management (IAM) is a critical pillar, safeguarding organizational data and access across different enterprise systems and platforms. As the head of CyberArk’s Artificial Intelligence Center of Excellence (AI CoE), I’m witnessing firsthand the transformative impact of artificial intelligence (AI) in this domain.