Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Smart homes, connected cars, and smart watches: these are examples of consumer-focused devices in the Internet of Things (IoT). But the Internet of Things extends beyond consumer use as new technologies are implemented in industrial settings and critical infrastructure. With the continuing development of the Internet of Things come new attack surfaces and cybersecurity risk directly related to the IoT.

Salt Labs researchers identified generative AI ecosystems as a new interesting attack vector. vulnerabilities found during this research on ChatGPT ecosystem could have granted access to accounts of users, including GitHub repositories, including 0-click attacks.

Bugcrowd offers crowdsourced security testing through a community of white hat hackers. CyCognito offers automated discovery of an organization’s externally exposed attack surface. Combined, the two solutions allow for a comprehensive inventory of exposed assets to be included in the scope of bug bounties or pentests.

Identity and access management (IAM) provides a consistent, centralized solution to manage user identities and automate access control throughout the organization. This helps security leaders introduce role-based access control and meet governance, risk, and compliance goals. Your organization may already have centralized management policies in place. For example, requiring employees to use a VPN when accessing company assets remotely shows an IAM solution in action.

As open source software development continues to evolve, so does its susceptibility to cybersecurity threats. One such instance is the recent discovery of malware repositories on GitHub. In this cybersecurity attack, threat actors managed to upload malicious code onto GitHub, a platform that hosts millions of code repositories and is used by developers worldwide.

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.

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.

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.

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).