Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

In an ideal world, security incidents result in minimal damage, and we can learn from them to improve our future defenses. Fortunately, such appears to be the case with JumpCloud. According to JumpCloud’s blog post, its recent security incident impacted fewer than 5 JumpCloud customers and fewer than 10 devices. Moreover, working together with their incident response (IR) partner Crowdstrike (also a Salt Security partner), JumpCloud has mitigated the attack vector used by the threat actor.

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.

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.

As more employees move to remote work, more of today’s business environment is shifting towards the cloud. Indeed, approximately 90% of companies use at least one cloud-based service. While it brings great benefits, the cloud also brings challenges, including properly securing cloud-based assets. Cybercriminals are well-versed in corporate cloud usage and are successfully exploiting that knowledge. In the past year and a half, nearly 80% of companies suffered a cloud-based data breach.

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.

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.

For nearly a decade, Egnyte has been applying AI to help customers protect and manage large volumes of unstructured data. The outputs of these models were historically focused on a relatively narrow set of IT security, privacy, and compliance applications. Today, we’re announcing the next generation of AI-powered solutions at Egnyte, unleashing content intelligence for every user on our platform!

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?