Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

It has been over a year and a half since the latest generative AI revolution descended upon the world. All IT markets have seen a wave of both new AI products, as well as AI-driven capabilities in existing products being introduced with a breakneck pace.

Much like our own blood, data is the lifeblood that flows through the arteries of business today. Organizations must ensure that data is protected appropriately based on that data’s sensitivity, criticality, and regulatory or contractual requirements. These protections are provided through administrative, technical, and physical controls. The primary goal of these controls is to provide preventative, detective, or corrective capabilities.

Since the discovery of CRIME, BREACH, TIME, LUCKY-13 etc., length-based side-channel attacks have been considered practical. Even though packets were encrypted, attackers were able to infer information about the underlying plaintext by analyzing metadata like the packet length or timing information. Cloudflare was recently contacted by a group of researchers at Ben Gurion University who wrote a paper titled “What Was Your Prompt?

While grandma’s stuffing might be the best part of your holiday turkey dinner, credential stuffing attacks can be the worst part of being the person responsible for your company’s security monitoring. Your IT environment likely consists of all the ingredients attackers need to deploy an attack successfully.

It is impressive how explosively the cloud security market has embraced detection and response in recent months. The industry, including both users and vendors, is rapidly acknowledging the complexity of modern cloud attacks. Facilitated by automation and APIs, attacks cannot be effectively countered with traditional solutions that lack context of cloud environments or focus solely on posture.

The modern enterprise relies on hundreds of SaaS apps, email services, generative AI (GenAI) tools, custom apps, and LLMs, which often contain sensitive data. For too long, security teams have been forced to patch together point solutions for coverage across these channels, increasing their workloads and creating opportunities for sensitive data to slip through the cracks. This is precisely where Nightfall’s single-pane-of-glass solution comes into play: With Nightfall Sensitive Data Protection.

As the adoption of generative AI (GenAI) accelerates across enterprises, one of the most promising applications emerges in customer support. GenAI enables automated responses, allowing businesses to engage in natural conversations with customers and provide real-time chat support. However, this convenience comes with inherent risks, particularly concerning data privacy.

Since 1991, Web Application Firewall, commonly referred to as WAF, has become one of the most common application security technologies available on the market. Since the last century, WAFs have evolved by incorporating the cloud and using Machine Learning instead of RegExp. Currently, few technologies, such as NG-WAF, RASP, WAAP, and a few others, have internal WAF capabilities, which prevent web applications and API threats.

Technology can change in the blink of an eye, and nowhere is this more evident than in the rise of “citizen developers.” Often without formal technical training, these individuals leverage user-friendly platforms to create, innovate, and deploy AI-driven solutions. But with the support of intuitive interfaces, templates, and code snippets come challenges. Security can be a challenge hidden in the simplicity of drag-and-drop designs.

How can we clear our minds of preconceived notions about Artificial Intelligence? How can we approach this ongoing technological revolution without apprehension? AI has integrated into our lives more swiftly than a lawyer’s “Objection, Your Honor!” in a surprise courtroom confession. We ask AI to do a multitude of things: write email responses, research our homework, inquire about recipes, complain about our tough days, compose school papers, and create art.