Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI Compliance: Mastering Regulations with Protecto

As Artificial Intelligence (AI) adoption accelerates, so do data privacy, security, and compliance concerns. Navigating the regulatory landscape is complex, as AI applications often handle sensitive personal data across borders and industries. In this blog, we discuss the challenges of AI compliance, the regulations that impact AI, and how Protecto can help businesses master compliance with confidence.

Trustwave's 2025 Cybersecurity Predictions: The Era of End-to-End AI Cyberattacks is Here

As 2024 has wrapped up, we went around the room and asked some of Trustwave’s top executives what cybersecurity issues and technology they saw playing a prominent role in 2025. I'm willing to go on a limb this year and say there is an excellent chance we will see the first fully autonomous and end-to-end malware, ransomware, or other cyberattack campaigns take place.

Exabeam Quarterly Product Launch - January 2025: Overview

About Exabeam Exabeam is a global cybersecurity leader that delivers AI-driven security operations. High-integrity data ingestion, powerful analytics, and workflow automation power the industry’s most advanced self-hosted and cloud-native security operations platform for threat detection, investigation, and response (TDIR). With a history of leadership in SIEM and UEBA, and a legacy rooted in AI, Exabeam empowers global security teams to combat cyberthreats, mitigate risk, and streamline security operations.

Smarter ticket handling with AI and the new wave of orchestration

In this guest post, Connor Brewer, Principal Solutions Architect at Uzado - a Canadian-based IT and security service provider - showcases an innovative IT help desk app built with AI in Tines, which boasts countless other potential applications. For many IT and security teams, outdated orchestration and automation solutions create more challenges than solutions.

Securing Patient Privacy: Techniques for De-identifying Healthcare Data

Protecting patient privacy is vital in the healthcare industry. The rise of digital records has made safeguarding sensitive information more challenging. De-identifying healthcare data ensures compliance with regulations like HIPAA while protecting patient information. Key concepts include PHI (Protected Health Information), de-identification, and the safe harbor method.

2025 Internet predictions (AI included) with John Graham-Cumming

Join host João Tomé and Cloudflare's CTO John Graham-Cumming for the final episode of "This Week in Net" in 2024, broadcasting from a rainy Lisbon, Portugal. The conversation reflects on Cloudflare's achievements throughout the year, including significant developments in Workers platform, AI capabilities, and hardware innovations. The episode explores predictions for 2025, examining the intersection of AI and privacy, quantum-resistant encryption, and cybersecurity threats. John Graham-Cumming shares his perspective on how AI capabilities will become more seamlessly integrated into daily life.

How AI-generated fuzz test uncovered a vulnerability in wolfSSL

We are super excited to announce the discovery of a heap-based use-after-free vulnerability in wolfSSL, identified through a fuzz test automatically generated by an AI Test Agent. This marks another milestone in advancing automated security testing and demonstrates the power of AI-driven tools to improve software reliability and safety.

Differences Between De-Identification And Anonymization

Understanding the distinction between de-identification vs. anonymization is critical in today’s data-driven world. These processes are essential for safeguarding privacy while enabling the ethical use of data. Both techniques significantly meet regulatory standards such as GDPR anonymous data and HIPAA de-identified data requirements. However, their purposes and methods differ significantly.

Kubernetes Security in 2025: The De Facto Platform of GenAI Applications

Over the past year, there has been a culmination of hype and excitement around Generative AI (GenAI). Most organizations initiated proof-of-concept projects for GenAI, eager to reap the technology’s benefits, which range from improved operational efficiency to cost reductions. According to recent research, 88% of organizations are in the midst of actively investigating GenAI, transcending other AI applications.