From October 14–16, thousands of construction professionals will gather in Houston, Texas, for Procore Groundbreak 2025—one of the industry’s premier events for innovation and collaboration. Egnyte is proud to return as an exhibitor to showcase how our AI-powered platform integrates seamlessly with Procore to deliver smarter, more secure ways to manage project and business data.

Risk is an ever-present factor in business, influencing almost every decision that organizations make. From investments and operations to market expansion and product development, every decision carries with it inherent risks that could either be mitigated or amplified based on how well they are understood and managed. Quantitative risk analysis offers a structured, data-driven approach to assess these risks, paving the way toward more informed and resilient business decisions.

On September 25, 2025, the npm package postmark-mcp, an MCP (Model Context Protocol) server intended to let AI assistants send emails via Postmark, was reportedly modified to secretly exfiltrate email contents by adding a blind-copy (BCC) to an external domain. Current analysis suggests the behavior began around 1.0.16 and persisted in later versions.

Phishing is not new. But SpamGPT has changed the game by showing how AI can industrialize deception at scale. SpamGPT has quickly become the poster child for how attackers are using AI to industrialize old tricks. At its core, SpamGPT isn’t introducing a new kind of attack; it’s simply making phishing faster, cheaper, and more convincing. Phishing has always been about deception. But with AI generating endless, polished, and context-aware lures, the balance of power shifts.

In Dune, Frank Herbert’s eponymous sci-fi work, there is a phrase that is often repeated – ‘fear is the mind killer’. We can juxtapose this saying with the cybersecurity landscape, as the fear of not being future-ready is what keeps CISOs up at night. The very thought that a cybersecurity strategy, created and implemented with great effort, won’t be able to keep every evolving and increasingly sophisticated threat at bay is disconcerting.

AI is rewriting the startup playbook. Today’s founders must juggle faster tech cycles and rising investor expectations around AI with age-old challenges such as finding product-market fit. ‍ Founders need more than grit and luck—they need frameworks that make growth repeatable and resilient.

Over the past decade, data has evolved from being an operational byproduct to becoming one of the most valuable assets of any business. The explosion of IoT devices, cloud applications, and AI-driven systems has generated unprecedented volumes of personal and non-personal data. Alongside this growth, regulations in the EU have progressed in step.

It only takes one mistake for an attacker to gain a foothold. One click on a phishing email, one missed patch, or one default password left in place is often all it takes. The problem is not just the initial mistake, but how far it spreads across your systems. This is why cyber risk is now considered the number one threat to business survival. The numbers tell the story. 60% of SMBs close within six months of a breach.

“AI is just automation by a different name.” It’s a bold claim—but one that Brandon Heller, CTO and co-founder of Forward Networks, and Howard Holton, CEO of GigaOm, unpack in a way that will make you think. In their recent conversation on Discovering Disruptions in Tech, they make the case that artificial intelligence, especially generative AI, is not delivering brand-new capabilities.