Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Generative artificial intelligence (GenAI) went mainstream in 2022 with the launch of ChatGPT. Now, tech companies are turning their attention toward the next big advancement: agentic AI. Within the next few years, generative AI and agentic AI may coexist in the professional world, synthesizing information and streamlining operations more efficiently than humans can.

Modern businesses are drowning in content. Documents, presentations, images, audio recordings, videos, the volume grows exponentially every day. Traditional search tools, built on outdated keyword matching, simply can't keep pace. They only help users find information if they know what to look for and what keywords to use. This inefficiency comes at a cost: delayed decisions, missed opportunities, and frustrated teams spending more time searching than working. The solution?

Cisco devices don’t warn you before rebooting with unsaved changes. A missed write memory means the running config is lost—and the device reloads with an outdated startup config. That’s how critical updates disappear, outages happen, and incidents get escalated. Manually checking for this drift across hundreds or thousands of devices is tedious and error-prone.

Today, we are announcing a new approach to catching bots: using models to provide behavioral anomaly detection unique to each bot management customer and stop sophisticated bot attacks.

The recent cyberattack on Jaguar Land Rover (JLR), which forced factory closures and disrupted production, is another reminder of how vulnerable connected industries have become. Modern automotive and manufacturing operations rely on networks of connected devices, from robotic arms on the production line to electronic control units (ECUs) inside vehicles. When security breaks down, the consequences quickly ripple across operations, supply chains, and customers.

Open-source repositories like npm and PyPI are instrumental in modern software development. They give developers access to countless libraries, accelerating innovation and shortening time-to-market. However, this convenience comes with a hidden cost. Lurking within these essential resources lie malicious packages. Left undetected, they can impact application integrity, compromise sensitive data and undermine organizational trust.

Hackread reports that attackers are abusing Google’s AppSheet platform to send phishing emails. The campaign was spotted by researchers at Raven, who warn that attackers are sending messages that impersonate AppSheet, informing users of phony trademark violations. Notably, the emails are sent from AppSheet’s legitimate infrastructure, making them more likely to bypass security controls and appear legitimate to human recipients.

Deploying Web Application and API Protection (WAAP) systems is crucial for bolstering cybersecurity defenses. Akamai reported 108 billion API attacks over 18 months, underscoring the value of APIs to cybercriminals. Like any new security measure, the initial deployment brings various challenges during the "Day One" process. These Day One challenges should not compromise security effectiveness or disrupt business operations.

In vulnerability management, every scan tells a story. The truth is that only some of those stories matter right now and that the challenge isn’t finding vulnerabilities. It’s knowing which ones are about to cost you. If you’re dealing with hundreds of vulnerabilities per asset, especially if you’ve adopted cloud solutions, you’re not alone. That’s become the norm. But you can’t patch everything, and you shouldn’t even try.

Cloud storage can offer us the best protection against data breaches, more privacy online, and a means to protect our photos, videos, and more to ensure we never lose access to our important files. However, due to the many options we have when choosing cloud storage, you may be left wondering which is the best cloud storage for sensitive data, and how these differ from the main cloud storage providers, such as Google or OneDrive.