Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

The Quiet Data Leak from GenAI

Like me, I’m sure you’re keeping an open mind about how Generative AI (GenAI) is transforming companies. It’s not only revolutionizing the way industries operate, GenAI is also training on every byte and bit of information available to build itself into the critical components of business operations. However, this change comes with an often-overlooked risk: the quiet leak of organizational data into AI models.

A Deep Dive into DeepSeek

At a time when new AI models are constantly emerging, the launch of DeepSeek has led to questions and concerns around AI model security, data security, and national security. What is DeepSeek, and how was it trained? What are the risk implications of using it? Tune in for the answers to these questions and more in our first-ever video episode of the Adversary Universe podcast.

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.

Will AI start taking cybersecurity jobs?

No, but it’s fundamentally changing them. Generative AI (GenAI) is quickly becoming an essential part of everyday security workflows. So … is it a partner or competitor? The wide-ranging implementation of GenAI technologies into virtually every aspect of the security stack has, on the whole, helped security teams work more efficiently to mitigate threats.