Phishing attacks are a huge threat. They prey on human trust and manage to trick even the most tech-savvy users. A successful attack on a company’s customers can weaken it financially, create compliance issues, and cause long-lasting reputational damage. Scammers have stolen over $1 trillion globally in just the past year – a staggering figure that rivals the GDP of some nations.

Keeping track of your business data can be a bit of a challenge if you are using data-sharing platforms like Mediafire, WeTransfer, and Dropbox. But with DLP solutions, you can securely share your sensitive business information like files, reports, and client data on these platforms with ease while staying protected against data leaks. Want to know how? Check out this blog! That’s why it’s important to secure endpoints—basically, the devices we use every day at work.

It was in January 2025 when a disaster leakage of data was leaked having more than 15,000 configuration files carrying VPN credentials leaked from FortiGate devices spread on several devices. It depicts acute problems inside organizations using the products by Fortinet about a higher need for an excellent security approach. The Belsen Group, the hacking collective carried out this attack by taking advantage of the zero-day vulnerability known as CVE-2022-40684.

As we step into 2025, the high-impact, financially motivated ransomware landscape continues to evolve, shaped by a combination of law enforcement actions, shifting affiliate dynamics, advancements in defensive approaches, and broader economic and geopolitical influences. While 2024 also saw the continued use of ransomware for non-financial gain purposes, such as drawing attention away from other activities – financial motives remained at the forefront of the overall ransomware landscape.

Analyzing network traffic patterns is the heart of a successful security strategy. As organizations continue to grow their digital landscapes, cyber threats have also progressed in complexity and now utilize sophisticated evasion techniques to evade detection. Conventional security countermeasures are no longer able to cope with such dynamic and persistent security threats, hence now organizations are relying on network traffic analysis to detect and mitigate any security incidents.

Gal Peretz is Head of AI & Data at Torq. Gal accelerates Torq’s AI and data initiatives, applying his deep learning and natural language processing expertise to advance AI-powered security automation. He also co-hosts the LangTalks podcast, which discusses the latest AI and LLM technologies. Our previous blog post explored how planning with AI systems can set the stage for smooth collaboration between humans and machines. However, a solid plan alone isn’t enough.

By now, you will almost certainly be aware of the transformative impact artificial intelligence (AI) technologies are having on the world. What you may not be aware of, however, is the role Application Programming Interfaces (APIs) are playing in the AI revolution. The bottom line is that APIs are critical to AI systems – but they are also a major reason why AI systems are vulnerable to abuse. In this blog, we’ll explore why API security is critical for the safe and ethical deployment of AI.