Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The explosion of remote work and digital transformation has unleashed a tidal wave of new systems and software. Even smaller or ‘old-school’ companies are juggling more applications than ever before to keep pace with collaboration and automation in the remote age. Yet, every exciting new system requires login credentials, secrets, and access privileges, creating potential entry points for cybercriminals.

Healthcare organizations managing multiple websites must protect Protected Health Information (PHI) while complying with HIPAA, HHS regulations, state laws, and global privacy requirements. Feroot DataShield AI provides automated monitoring and protection across distributed healthcare web environments.

Agentic AI represents the next step in artificial intelligence, moving beyond prediction models and task automation. These intelligent systems can make independent decisions, adapt to new data, and execute complex tasks, setting them apart from standard AI. As businesses incorporate Agentic AI into enterprise software development, they unlock new possibilities for innovation, scalability, and efficiency. However, greater autonomy also brings significant cybersecurity risks.

Network micro-segmentation is a cybersecurity strategy that divides your network into smaller segments to better manage and secure network traffic. This approach helps prevent unauthorised access and limits the spread of threats within the network. In this article, we’ll explore how network micro-segmentation works, its benefits, and how to implement it effectively.

Package delivery has become an essential element of modern life, with estimates that the global delivery market will generate over $118 billion of growth from 2024 to 2028. Estimates of this size reflect the global attitude toward package deliveries—they’ll only become more of a necessity as time goes on. However, where consumers see necessity, scammers see opportunity.

The cybersecurity industry is facing a new challenge: AI-generated attacks. With the rapid advancement of generative AI, cybercriminals now have access to sophisticated tools that enable them to craft highly targeted attacks with minimal technical expertise. Unlike traditional attack methods that require deep programming knowledge, AI-driven attacks allow even non-technical malicious actors to create malware, exploit scripts, and launch phishing campaigns with ease.