Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Sales and marketing are common challenges for MSPs. In fact, 24% of MSPs say acquiring new clients is their number one problem. 29% say it’s competition. As an MSP, getting your name out there and differentiating yourself is a constant challenge. Most MSPs start out with word-of-mouth marketing, which works great — until it doesn’t. Referral-based marketing is limited in scope. Before long, you’ll find yourself faced with diminishing returns. So, what’s next?

As 98% of businesses are using some form of cloud computing, keeping track of who has access to what has become a major challenge, especially as cloud environments often span multiple platforms and locations.

APIs form the backbone of modern digital systems, enabling seamless data exchange and integration. However, their critical role also makes them attractive targets for cyber threats. Traditional security measures often fail to address API-specific challenges effectively. Graylog API Security Content Pack emerges as a game-changer, reimagining API defense through innovative threat detection and response approaches.

As we continue our Summer School blog series, let's focus on a vital aspect of modern application security: the relationship between API posture governance, API security, and the constantly changing regulatory compliance landscape. In today's interconnected world, where APIs are crucial for digital interactions, organizations are challenged with securing their APIs while complying with complex regulations designed to protect sensitive data and critical infrastructure.

Effectively acting as an invisible shield, the inner workings of IoT security are often taken for granted. However, we can focus and shine a light on the protocols and practices that provide the foundation of IoT security to help others see how these efficiently operate behind the scenes to protect complex networks of interconnected devices.

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.

Think of a cluttered desk, but on a digital scale. Businesses rely on hundreds of cloud-based, third-party Software-as-a-Service (SaaS) applications. Over a quarter (28%) of SME employees require 11 or more tools to manage the worker lifecycle. From the end user perspective, this isn’t a bad thing at all. Why not? SaaS applications are easy to activate, often coming with free editions or low-cost versions that accomplish a specialized task.

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.