While the rise of ChatGPT and other AI chatbots has been hailed as a business game-changer, it is increasingly being seen as a critical security issue. Previously, we outlined the challenges created by ChatGPT and other forms of AI. In this blog post, we look at the growing threat from AI-associated cyber-attacks and discuss new guidance from the National Institute of Standards and Technology (NIST).

As cybercriminals leverage tools like generative AI, making attacks easier to execute and with a higher degree of success, phishing attacks continues to increase in frequency. I’ve been covering the cybercrime economy’s use of AI since it started. I’ve pointed out the simple misuse of ChatGPT when it launched, the creation of AI-based cybercrime platforms like FraudGPT, and how today’s cybercriminal can basically create foolproof malicious content.

Do not forget, AI-enabled technologies, like KnowBe4’s Artificial Intelligence Defense Agents (AIDA), will make defenses increasingly better. I get asked a lot to comment on AI, usually from people who wonder, or are even a bit scared, about how AI can be used to hurt them and others. It is certainly a top topic everyone in the cybersecurity world is wondering about. One of the key questions I get is: How much worse will AI make cybercrime? The quick answer is: No one knows.

Scammers are impersonating job-seeking platform Dice with phony employment opportunities designed to steal victims’ information. “This week, Dice received reports that individuals are receiving messages from senders claiming to be Dice recruiters on various messaging apps,” the company says.

Online shopping is the norm nowadays, which means you will likely face new threats, including brushing scams. Brushing scams are a form of e-commerce fraud where sellers create fake orders to boost product ratings and visibility on e-commerce platforms. While this might seem harmless at first glance, brushing scams can have severe consequences for unsuspecting consumers.

Nearly one third of all data breaches are caused by insiders. While you might immediately think of malicious insiders, like disgruntled or departing employees, insider risk can take numerous forms, including: From these examples alone, it’s easy to see just how prevalent insider risk really is. Whether it’s intentional or unintentional, insider risks often have the same consequences as external risks, including data leaks, data loss, noncompliance, and more.

In a digital age fraught with cyber threats, the recent breach of NATO military infrastructures has sent shockwaves through the global security community. Hackers, purportedly associated with the alias Aaron Bushnell, have claimed responsibility for this nefarious act. This blog delves into the details of the breach, its implications, and the steps necessary to fortify our defenses against such cyber assaults.

Organizations worldwide rely on the MITRE ATT&CK framework as a critical resource for defending against cyberattacks. The MITRE ATT&CK framework is also a key tool for advancing threat research in the cybersecurity industry. However, one of the challenges in using the MITRE ATT&CK framework is mapping the output from logs, sensors and other tools as ATT&CK data sources in the framework.

Recent high-profile data breaches attributed to SolarWinds, Log4j, MOVEit, and more have demonstrated that the world still lacks a standard framework to measure cyber risk. Cybercriminals continue to exploit the trusted relationships between companies and their third-party suppliers and vendors, resulting in damaging attacks.

Active Directory (AD) is a mainstay for most organizations, especially as identity management grows for even small-to-medium businesses (SMBs) and once on-premises organizations digitize. But this widely adopted tool comes with major security risks.