Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Researchers at Sophos have found that the criminal market for malicious generative AI tools is still disorganized and contentious. While there are obvious ways to abuse generative AI, such as crafting phishing emails or writing malware, criminal versions of these tools are still unreliable. The researchers found numerous malicious generative AI tools on the market, including WormGPT, FraudGPT, XXXGPT, Evil-GPT, WolfGPT, BlackHatGPT, DarkGPT, HackBot, PentesterGPT, PrivateGPT.

The U.S. Department of Homeland Security's (DHS) Cybersecurity and Infrastructure Security Agency (CISA) and the United Kingdom's National Cyber Security Centre (NCSC) today jointly released Guidelines for Secure AI System Development in partnership with 21 additional international partners.

Enterprises that deploy Kubernetes in corporate data centers or cloud environments often use Cisco Secure Firewall to protect their networks and cloud resources. These firewalls are crucial for examining traffic coming from Kubernetes clusters. However, accurately determining the origin of this traffic as it passes through Cisco Secure Firewall can be challenging.

The Internet of Things (IoT) has emerged as a transformative force, connecting devices, sensors, and systems to enable seamless communication and data exchange. From smart homes to industrial processes, IoT has revolutionized the way we live and work. However, with this proliferation of connected devices comes a significant challenge: ensuring the security of the IoT ecosystem.

The integration of artificial intelligence (AI) into various domains has become ubiquitous. One area where AI’s influence is particularly pronounced is in cybersecurity. As the digital realm expands, so do the threats posed by cybercriminals, making it imperative to employ advanced technologies to safeguard sensitive information.