Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The life sciences industry is at the forefront of data-intensive research and innovation. Scientists and researchers rely heavily on the collection, processing, and analysis of vast amounts of data generated by lab instruments. And they are often challenged by errors or confusion in managing data flows that in turn, have a direct impact on the quality of data and corresponding compliance with regulatory requirements.

If you had to choose a security measure that would make the most difference to your cyber program right now, what would it be? Maybe you’d like to get another person on your team? Someone who is a skilled analyst, happy to do routine work and incredibly reliable. Or perhaps you’d prefer an investment that would give your existing team members back more of their time without compromising your ability to find and fix threats? What about human intelligence without human limitations?

‍ This month's release rollup includes Egnyte's AI-driven document summarization, project dashboard for Android, and Smart Cache file download improvements. Below is an overview of these and other new releases. Visit the linked articles for more details.

Researchers from Carnegie Mellon University and the Center for A.I. Safety have discovered a new prompt injection method to override the guardrails of large language models (LLMs). These guardrails are safety measures designed to prevent AI from generating harmful content. This discovery poses a significant risk to the deployment of LLMs in public-facing applications, as it could potentially allow these models to be used for malicious purposes.

Five worthy reads is a regular column on five noteworthy items we have discovered while researching trending and timeless topics. This week we are exploring the significant role of AI in the field of cybersecurity and why it’s the next biggest thing in cybersecurity.

Fraudsters are spreading scams on Facebook that pose as ads for legitimate AI tools, according to researchers at Check Point. The Facebook pages impersonate ChatGPT, Google Bard, Midjourney, Jasper, and more.

Let’s face it, the tech world is a whirlwind of constant evolution. AI is no longer just a fancy add-on; it’s shaking things up and becoming part and parcel of various industries, not least software development. One such tech marvel that’s stealthily carving out a significant role in our software supply chain is OpenAI’s impressive language model – ChatGPT.

First things first, ChatGPT is awesome! It can help you work more efficiently — from summarizing a 10,000-word document to providing a list of differentiations between competing products, as well as many other tasks.

While perhaps new to AI researchers, supply chain attacks are nothing new to the world of cybersecurity. For those in the know, it has been best practice to verify the source and authenticity of downloads, package repositories, and containers. But human nature usually wins. As developers, our desire to move quickly to improve ease of use for users and customers can cause us to delay efforts to validate the software supply chain until we are forced to by our peers in compliance or security organizations.

Generative AI is the big trending topic right now, and understandably is featuring prominently in the news. The popularity of platforms such as Open AI’s ChatGPT, which set a record for the fastest-growing user base by reaching 100 million monthly active users just two months after launching is unquestionably on the minds of businesses globally.