Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI is everywhere. I live in San Francisco, and a day doesn’t go by that I don’t see a billboard, an advertisement on the side of a bus, or a tech bro’s hoodie with two big letters on it: AI. It’s no different in cybersecurity marketing – AI terminology is everywhere. But too often, it’s tacked on as a buzzword – a thin layer washed on top of existing security tools, with little real impact. This makes it tricky to decipher what’s real and what’s hype.

When it comes to massive files, many organizations still rely on old-fashioned, on-premises file servers and filers. They’re hesitant to work on these projects in the cloud because the inherent network latency makes working with massive files difficult. So they stick to an on-premises approach—even though it typically requires wired access and stable VPN connections, which makes sharing and collaborating especially challenging for people working from home, in the field, or on the road.

CXOs spend nearly 34% of their day reviewing reports, often bloated with metrics that don’t move the needle. Yet, despite all the dashboards and analytics tools available, most leaders still struggle to answer one question confidently.

Users and organizations should be prepared for a surge in phishing attacks over the next several weeks, as attackers take advantage of the holiday shopping season, according to a new report from Zimperium. The report notes that mobile phishing attacks increase fourfold during the holiday season. Many of these attacks impersonate well-known brands and online retailers, such as Amazon and eBay.

This blog kicks off our new series, Inside the Agent Stack, where we take you behind the scenes of today’s most widely adopted AI agent platforms and show you what it really takes to secure them. Each installment will dissect a specific platform, expose realistic attack paths, and share proven strategies that help organizations keep their AI agents safe, reliable, and compliant.

A major publicly traded CPG company wanted to adopt LLM to improve performance marketing, analytics, and customer experience. However, the IT team blocked AI usage and uploads to external AI tools as interacting with public AI models could expose sensitive brand, consumer, and financial data. This isn’t an isolated problem. It’s a pattern across enterprises: business agility collides with security requirements.

Gmail has always been a common target for cybercriminals, and with the arrival of advanced AI tools, the threat level has increased significantly. Now, attackers no longer rely on generic phishing emails or scam methods. They are using AI to create convincing messages and imitate real support agents to make attacks look more genuine. This change in attack patterns has made Gmail users more vulnerable because they can’t differentiate between real and fake messages.