Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Securing Protected Health Information: A Guide to Website Compliance Using Feroot Health DataShield AI

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.

The Rise of AI-Generated Attacks: Why UEBA is the Best Defense

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.

Is Building Customer Trust in Cyber Sales Really That Simple?

Gaining customer trust in cyber sales might seem like a tall order. After all, you're asking people to trust you with their money-or even more tricky, their data-on an often faceless digital platform. But is it really that hard to build trust? Maybe not. With the right approach, some genuine effort, and the use of smart tools, creating strong customer relationships in cyber sales might actually be simpler than you think.

Cybersecurity in Telecom: How Smart Expense Management Helps Mitigate Risks

Telecom cyber attacks have evolved, leading to data exposure, unauthorized access, and financial loss. Poor security controls and unmanaged telecom expenditure typically leave firms vulnerable to fraud and abuse. Expense management is essential for detecting anomalies that can be used to identify security threats. Real-time telecom spending monitoring helps firms detect suspicious behavior, prevent unauthorized use, and enhance overall security. Proactive monitoring helps with both financial control and network security.

Zenity Recognized in Gartner AI TRiSM Market Guide

Innovation, specifically the evolution of technology, has always been about expanding what’s possible or simplifying today’s complexity – sometimes both. We saw this with the internet revolution, adoption of cloud computing, remote working, low-code/no-code, and now AI is fundamentally reshaping how teams operate. While these advancements bring opportunities for organizations and push people’s creativity to new limits, they also introduce new risks.

DataTrails and Daiki Join Forces to Revolutionize Trust and Governance in the AI Era

Confidently scale AI initiatives with irrefutable proof of ethical data practices and compliant AI operations. In today’s rapidly evolving digital landscape, the intersection of data provenance and AI governance has become mission-critical for businesses. As AI continues to shape industries – from healthcare and finance to media and technology – the need for verifiable data integrity and responsible AI oversight has never been more urgent.

Securing AI vs AI Security: What Are We Talking About?

Lately, it seems like the only thing anyone is talking about in the technology sector is Artificial Intelligence. With good reason! AI is an incredibly powerful tool that is only going to grow in usage and scope. However, there seems to be a lot of confusion around various terms involving AI and security. The focus of this blog will be breaking down the differences between securing AI, secure AI use, AI for security, and AI safety.