Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

From the Data Lake to the Edge: Why Universal Visibility is the Future of API Security

If you look at an enterprise architecture diagram from five years ago, it looks relatively tidy. You had a data center, maybe a cloud provider, and a few gateways. Today, that diagram looks like a constellation. Data is living in AI platforms like Databricks. Frontend applications are pushed to the edge on Netlify. Logic is scattered across microservices, serverless functions, and legacy IIS servers. For security teams, this fragmentation creates a massive headache: Blind Spots.

How to Ignore Cybersecurity AI Bubble FOMO

Cybersecurity teams are no longer circling an AI bubble. Rather, they are staffing inside it, buying within it, and getting measured by it. This matters because bubbles create a predictable trap: expectations are set higher than teams truly can deliver. Cato Networks CEO Shlomo Kramer recently told Business Insider the market is experiencing an AI bubble driven by heavy investment and AI-driven profit improvements, which he expects to unwind. A correction will not pause attacker activity.

Agentic SecOps Workspace demo: AI agents operating inside LimaCharlie

LimaCharlie CEO/Founder, Maxime Lamothe-Brassard, walks through LimaCharlie's Agentic SecOps Workspace in this demo, showing how AI agents can directly operate security infrastructure using the platform's complete API coverage. What you'll see.

AI Literacy Training: From Best Practice to Legal Requirement Under the New EU AI Act

For those of you who are like me, when I first heard about the new EU AI Act, I had flashbacks to the implementation of the General Data Protection Act (GDPR) back in 2018. There are certainly a lot of similarities with the EU leading the way in consumer protections that will likely lead to more, similar legislation across the globe. I’m also reminded of the iPhone when it was introduced in the consumer market and bled into the workplace (I for one held onto my Blackberry for as long as I could).

AI for Influencer Marketing: Smart Ways to Scale Content and Engagement

Influencer marketing continues to dominate the digital landscape, but creating consistent, high-quality content remains one of the biggest challenges for creators and brands alike. The pressure to post regularly while maintaining authenticity and engagement can be overwhelming. This is where artificial intelligence steps in, offering practical solutions that help influencers scale their content production without sacrificing quality or burning out.

How Companies Decide When It's Time for a Tech Upgrade

Technology evolves at a pace that can make even well-established systems feel outdated in just a few years. For companies, deciding when to invest in a tech upgrade is rarely about chasing trends; it is about maintaining efficiency, security, and competitiveness. The challenge lies in recognizing the right moment to act without disrupting operations or overspending on unnecessary changes.

Cyberhaven Product Launch: Uniting DSPM & DLP to Secure Data in the AI Era

AI is rewriting data risk. On Feb 3, see how to fight back. Every week, AI makes your team faster—and your data more exposed. Files jump between new tools, models train on sensitive inputs, and traditional DLP is blind to the context that matters most. On February 3 at 11:00 AM PST, we’re pulling back the curtain on Cyberhaven’s unified DSPM & DLP platform—and showing how a single, AI‑native platform can finally keep up with how data actually moves.

Guide on Securing Azure Blob Storage: Best Practices and Key Features

Azure Blob Storage is an object storage solution. It stores massive amounts of unstructured data, such as text files, images, videos, etc. It supports large-scale data for applications such as backup, data lakes, and media serving. Specifically, Azure Blob Storage security prevents unauthorized access, data leakage, and potential breaches.