In our latest report, Snyk surveyed security and software development technologists, from top management to application developers, on how their companies had prepared for and adopted generative AI coding tools. While organizations felt ready and believed AI coding tools and AI-generated code were safe, they failed to undertake some basic steps for secure adoption. And within the ranks, those close to the code have greater doubts about AI safety than those higher up in management.

The world is quickly seeing the rise of AI powered customer service. The conversational agent chatbots enhance the customer experience but also introduce a new attack vector. Here's what you need to know about strengthening AI chatbot defenses. Many AI driven technologies have access to vast data sources and access to functions that assist users. AI chatbots can be used in many ways such as answering questions about an item in stock, help develop code, to helping users reset their password.

San Francisco, CA - Protecto, a leading innovator in data privacy and security solutions, is proud to announce the release of new capabilities designed to identify and cleanse Protected Health Information (PHI) data from structured and unstructured datasets, facilitating the creation of safe and compliant data for Generative AI (GenAI) applications. This advancement underscores Protecto's commitment to data security and compliance while empowering organizations to harness the full potential of GenAI.

There’s been a lot of excitement around generative AI technology over the past few years, especially in software development. Developers of all levels are turning to AI tools, such as GitHub Copilot, Amazon CodeWhisperer, and OpenAI’s ChatGPT, to support their coding efforts. In fact, GitHub found that 92% of developers use AI coding tools. However, many businesses are realizing that they need to be more cautious when using AI in software development.

Explore Our Latest Insights on Artificial Intelligence (AI). Learn More. It is easy to assume that large language models (LLMs) and generative AI (GenAI) security products are a mysterious box of magic. While, in general, interactions with these models are abstract; you make an API call to a remote endpoint and receive a response without much exposure to the security controls around the model, there are security risks of AI to consider when using them.

The Evolution of Email Threats Email has long been a favored vector for cyber attacks. From the early days of simple phishing scams to the more advanced spear-phishing campaigns, email threats have consistently evolved. However, the integration of AI has brought about a paradigm shift in both the complexity and frequency of these attacks. AI-Powered Phishing Phishing attacks have traditionally relied on mass-distribution strategies, hoping to catch a small percentage of victims.