Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

A few years back, data was constrained to the on-premise infrastructure. Data management, governance, and protection were fairly uncomplicated in this enclosed environment. The emergence of cloud computing and multi-cloud infrastructures has not only introduced more complexity in data management and governance, but it has also increased security risks significantly.

For anyone who follows industry trends and related news I am certain you have been absolutely inundated by the torrent of articles and headlines about ChatGPT, Google’s Bard, and AI in general. Let me apologize up front for adding yet another article to the pile. I promise this one is worth a read, especially for anyone looking for ways to safely, securely, and ethically begin introducing AI to their business.

As the world experiences the AI gold rush, organizations are increasingly turning to enterprise AI solutions to gain a competitive edge and unlock new opportunities. However, amid the excitement and potential benefits, one crucial aspect that must not be overlooked is data security — in particular, protecting against adversarial attacks and securing AI models. As businesses embrace the power of AI, they must be vigilant in safeguarding sensitive data to avoid potential disasters.

Today we’re excited to announce Cloudflare’s partnership with Jamf to extend Cloudflare’s Zero Trust Solutions to Jamf customers. This unique offering will enable Jamf customers to easily implement network Data Loss Prevention (DLP), Remote Browser Isolation (RBI), and SaaS Tenancy Controls from Cloudflare to prevent sensitive data loss from their Apple devices.

Salt has just released a new resource for business and security leaders – “Understanding API Attacks: Why Are They Different and How Can You Stop Them.” Salt undertook writing this eBook as part of our ongoing commitment to educate the market about API security issues and trends. In this new eBook, we take a close look at how API attacks differ from traditional attacks, and the measures organizations can take to protect against them.

Should we be using multiple public cloud providers? As organizations continue to migrate applications and workloads to public cloud platforms, they often face the tough decision of sticking with a single provider or embracing multiple clouds. Using multiple cloud providers promises a variety of benefits including the ability to minimize vendor lock-in, leverage best-of-breed services, achieve cost advantages, and comply with data sovereignty rules.

Six months ago, the question, “Which is your preferred AI?” would have sounded ridiculous. Today, a day doesn’t go by without hearing about “ChatGPT” or “Bard.” LLMs (Large Language Models) have been the main topic of discussions ever since the introduction of ChatGPT. So, which is the best LLM? The answer may be found in a surprising source – the dark web. Threat actors have been debating and arguing as to which LLM best fits their specific needs.

Time, cost, and quality – hitting this trifecta is the ultimate goal of any software organization. Its pursuit over decades has resulted in multiple application development methodologies like serverless computing, an emerging and popular cloud computing model touted as the future. Nearly 70% of organizations will increase their usage of serverless computing by 2025.