Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

A recent report from Mozilla found that the recent explosion of romantic AI chatbots is creating a whole new world of privacy concerns.

Adding AI to your software development life cycle (SDLC) comes with great opportunities — and great dangers. Is the risk worth the reward? This was the topic of conversation when Sascha Wiswedel, Senior Solutions Engineer at Atlassian, and Simon Maple, Principal Developer Advocate at Snyk, teamed up to discuss security in the (AI-assisted) software development lifecycle.

In the 21st century, the lifeblood of several multi-billion dollar corporations is the data of their users they possess and how they go upon it, whether it be including new policies benefitting the users of their platform, or finding more aspects of data they can take to their advantage to increase their profit margins ever so slightly? All of the above requires data in the baseline.

The healthcare landscape is undergoing a transformative journey as it intersects with the mighty realm of artificial intelligence (AI). This comprehensive guide navigates the intricate dance between compliance with the Health Insurance Portability and Accountability Act (HIPAA) and the increasing integration of AI in healthcare. In the evolving tapestry of medical practices, AI emerges as a pivotal player, influencing patient care and administrative processes.

In a significant stride towards enhancing the capabilities of LangChain, the team introduces LangGraph, a module designed to facilitate the creation of cyclical graphs within the LangChain ecosystem. This novel addition, completely interoperable with LangChain, aims to empower developers in building agent runtimes with greater flexibility and efficiency.

The AI revolution that kicked into overdrive last year has taken the world by storm, and as the development and productization of Large Language Models and other AI technologies continue – the revolution shows no signs of slowing down.

In the ever-evolving landscape of cybersecurity, businesses and individuals find themselves in a relentless battle against the surge of cybercrime, which continues to escalate in complexity and frequency. Despite the significant investments in cutting-edge cybersecurity solutions, the financial toll of cybercrime persists, with costs escalating annually.

With Valentine’s Day just around the corner, it comes as no surprise that Egress’ Threat Intelligence team is starting to see an uptick in romance-based phishing attacks. In particular, they noted a staggering 43% increase in attacks impersonating well-established dating apps including Tinder and Hinge between January 1, 2024, until February 5, 2024, compared to 2023. This is only likely to increase as the day draws closer.

Generative AI (à la OpenAI’s GPT and the likes) is a powerful tool for summarizing information, transformations of text, transformation of code, all while doing so using its highly specialized ability to “speak” in a natural human language. While working with GPT APIs on several engineering projects an interesting idea came up in brainstorming, how well would it work when asked to describe information provided in raw JSON into natural language?