The battle between bots and anti-bot tools is a relentless arms race. Bot operators constantly develop new ways to outsmart defenses, and defenders adapt to counter those tactics. As one side evolves, the other quickly follows suit. This ongoing conflict has grown more intricate over the years. Initially, bots mimicked traits like browsers, IPs, user agents, and mouse and keyboard inputs used by human visitors. These tricks sufficed to bypass primitive defenses.

Ensuring business continuity requires more than just robust pipelines and agile practices in DevOps. A well-designed Disaster Recovery Plan is critical to mitigate risks, recover swiftly from failures, and ensure your data and infrastructure integrity. Contents hide 1 Are there any myths related to DR in DevOps?

In today’s interconnected digital ecosystems, traditional security mechanisms like Web Application Firewalls (WAFs), API gateways, and Content Delivery Networks (CDNs) act as enforcement points. Think of them as bouncers at the entrance of a high-profile nightclub—they decide who gets in and who doesn’t. However, relying solely on these edge solutions to secure APIs is like assuming a bouncer can stop someone sneaking in through a side door or an open window.

DLL side-loading is a popular technique used by threat actors to execute malicious payloads under the umbrella of a benign, usually legitimate, executable. This allows the threat actor to exploit whitelists in security products that exclude trusted executables from detection. Among others, this technique has been leveraged by APT41 to deploy DUSTTRAP and Daggerfly to deliver Nightdoor backdoor.

When we think about HIPAA compliance and websites, the focus often shifts to patient portals, online scheduling systems, and other secure areas requiring user authentication. However, it’s crucial to recognize that even unauthenticated webpages, those accessible to the public without logging in, can present hidden HIPAA risks. Let’s explore these often-overlooked vulnerabilities and discuss how covered entities can mitigate potential compliance pitfalls.

With the emergence of artificial intelligence (AI), there has been a flurry of new terms to describe an increasing variety of new problems. Some of those problems have been around for decades but are now more difficult to manage due to the versatility of AI-based tools and applications. One of those ongoing challenges is shadow IT with a new class of problems classified as shadow AI.