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.

Artificial intelligence (AI) has a long and storied history. Ancient Greeks, for example, told stories of Talos, an enormous automaton that stood guard over Crete’s shores. In the 17th century, Gottfried Leibniz, Thomas Hobbes, and René Descartes explored the possibility that all rational thought could be as systematic as algebra or geometry.

Phishing is not going away—it’s morphing and evolving. As an example, in late 2022 the overnight commodification of artificial intelligence (AI) changed the phishing threat landscape forever, lowering the barrier to entry for novice fraudsters who had previously had the motives, but lacked the means to launch sophisticated scams. ChatGPT and fraud-specific Generative AI tools (like the aptly named FraudGPT and WormGPT) granted malefactors the ability to supercharge and scale their operations.

Artificial Intelligence is becoming an integral part of our work. It helps us be more productive by automating tasks, analyzing, and boosting the speed of our work. Due to the desire to accelerate work and make it more efficient, SaaS providers integrate AI into their software. For example, Atlassian in 2023 announced Atlassian Intelligence, a combination of state-of-art OpenAI models and the power and data within the Atlassian platform.

Development teams of all sizes are embracing the excitement and possibility of using AI tools to build software. Coding assistants like Google Gemini and Github Copilot have the potential to accelerate development like never before, and developers are adopting these tools — whether or not leadership has officially approved them. As your team considers the best ways to adopt this new technology, this transition might feel like déjà vu.

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.

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.

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?

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