Striking the right balance between innovation using Artificial Intelligence (AI) and Large Language Models (LLMs) and data protection is essential. In this blog, we’ll explore critical strategies for ensuring AI and LLM data security, highlighting some trade-offs.

Over the last 18 months, you’ve probably heard about Large Language Models (LLMs) like OpenAI’s GPT and Google’s Gemini. Whether you’re using them as a personal research assistant, an editor, or a data analyst, these tools represent a new frontier of Machine Learning (ML) and Artificial Intelligence (AI) and arguably will have the most significant impact of any technology in this decade.

If you answer a spam call, you might start receiving more spam and scam calls, become a victim of SIM card swapping or get your phone number spoofed. Based on Truecaller’s findings, from July 2023 to July 2024, Americans collectively spent approximately 234,000,000 hours answering spam calls. While not every spam call is intended to deceive you like a scam call, receiving unwanted phone calls from persistent telemarketers can quickly become annoying.

In this age of digital supremacy, keeping our data safe and respecting privacy are super important. As more and more people and businesses use online platforms, it’s crucial to understand what types of data need that extra layer of protection, especially when it comes to PII vs PHI vs PCI. Understanding the distinctions between PII (Personally Identifiable Information), PHI (Protected Health Information), and PCI (Payment Card Information) is crucial.

New data illuminates how retail leaders can prioritize resilience. In today’s retail environment, businesses embrace dynamic computing and other technological innovations to enhance operations and customer experiences. However, as these advancements accelerate, so does the risk of cyber threats.

Earlier this month, a group of our intrepid pen testers from our Readiness & Resilience team at CISO Global ventured into the heart of the hacking world at DEFCON 32 in Las Vegas. This annual pilgrimage to the mecca of cybersecurity (and more importantly, hacking) is more than just a conference – it’s a hands-on deep dive into the cutting edge of hacking techniques and defensive strategies.

For bad actors, using synthetic voices is easy, cheap, and worryingly effective.

Xeon Sender targets cloud APIs, Cisco Talos reveals UAT-5394 infrastructure, and attackers leverage public.env files to extort victims.

Threat actors are increasingly tailoring their attacks to target social media apps and smartphone users, according to a new report from the Anti-Phishing Working Group (APWG). As email security technologies improve, scammers are turning to social media apps, text messages, and voice calls to conduct social engineering attacks.

In the ever-evolving landscape of IT services, channel partners like service providers, managed service providers (MSPs), and telecommunications companies have long played a crucial role in delivering enterprise networking and security solutions. However, a subtle yet powerful shift is emerging that threatens to disrupt this status quo. Single-vendor SASE (Secure Access Service Edge) solutions are rapidly gaining traction and quietly reshaping the competitive landscape.