As deepfake technology continues to evolve, businesses must remain proactive in their cybersecurity defenses. The best way to prevent falling victim to AI-powered fraud is through awareness, training, and verification protocols.

Whether it’s economic instability, natural disasters, cyberattacks, or global pandemics—businesses face unprecedented challenges to their survival. For many organizations, these challenges strike at the heart of their operations.

From mitigating the risks of cyberattacks to navigating supply chain disruptions and natural disasters, organizations need robust strategies to stay resilient. Multi-cloud connectivity is a game-changing approach that empowers businesses to distribute workloads and data across multiple cloud providers, ensuring agility, security, and reliability.

As artificial intelligence (AI) continues to revolutionize industries, it has also become a double-edged sword in cybersecurity. While AI empowers businesses with automation, threat detection, and enhanced defenses, it also equips cybercriminals with advanced tools to launch sophisticated attacks.

Few advancements carry the disruptive potential of quantum computing. While this revolutionary technology promises groundbreaking progress in areas like healthcare, logistics, and artificial intelligence, it also casts a long, dark shadow over the world of cybersecurity.

In recent years, artificial intelligence (AI) and automation have become powerful forces, transforming industries, and redefining how businesses operate.

When considering Managed Service Providers (MSPs) or contemplating a change in MSP, it’s important to ask pertinent questions to ensure they align with your organization’s needs and goals.

Many organizations approach the topic of pentesting with some trepidation. Often, pentesting is seen as a requirement or a “check-the-box” activity to satisfy a customer’s demand to obtain or maintain their business.

The dumping of some 70 million+ AT&T customer data online has been validated by some customers as containing their data, as claimed by the data broker that put the data out on the web.