Artificial intelligence (AI) has generated significant hype in recent years, and separating the promise from reality can be challenging. However, at Torq, AI is not just a concept. It is a reality that is revolutionizing the SOC field, specifically in the area of Tier-1 security analysis, especially as cybercriminals become more sophisticated in their tactics and techniques. Traditional security tools continue to fall short in detecting and mitigating these attacks effectively, particularly at scale.

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.

The 2021 Log4Shell incident cast a bright light on open source software security — and especially on supply chain security. The 18 months following the incident brought a greater focus on open source software security than at any time in history. Organizations like the OpenSSF, AlphaOmega, and large technology companies are putting considerable resources towards tooling and education. But is open source software security actually improving? And where are efforts still falling short?