Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The concept of Secure Access Service Edge (SASE) promised a revolution in network security. Its core intent: to simplify the deployment and consumption of both networking and security functions. However, does the reality really live up to the initial hype?

IoThinkTank is proud to announce Device Authority as the 2024 IoT HealthTech Innovation Award winner for their groundbreaking KeyScaler-as-a-Service (KSaaS) solution. This accolade recognizes exceptional advancements in IoT technologies that significantly improve patient care and data security in the HealthTech sector.

It is well-known that WatchGuard is 100% dedicated to our channel partners, which means that every deal made, every product sold, and every new customer gained is a win for us both. The relationships we develop with our partners are truly unique and hyper-focused on partner enablement and success. As a result of the success we’ve achieved with our partners, we are thrilled to share that WatchGuard has earned a multitude of channel industry award honors and recognitions in the first half of 2024.

Zero Trust maturity might be one of the least understood security buzzwords of our era. The term “Zero Trust” was originally coined over a decade ago and described the principle of not assigning digital trust to any entity, ever, for free. It represented a fundamental paradigm shift from the trust-happy early internet days to the threat-filled cyber landscape we now know. Since then, companies have been striving to make all their systems Zero-Trust mature. As right they should.

Artificial Intelligence (AI) is now integrated into almost every available technology. It powers numerous real-world applications, from facial recognition to language translators and virtual assistants. AI offers significant benefits for businesses and economies by boosting productivity and creativity. However, it still faces practical challenges. Machine learning often requires substantial human effort to label training data for supervised learning.

Automatically disrupt attacks and rapidly remediate endpoints.

Bolster your organization’s observability and security capabilities on one platform with AI, anomaly detection, and enhanced attack discovery Organizations in today’s digital landscape are increasingly concerned about service availability and safeguarding their software from malicious tampering and compromise. The traditional security and observability tools often operate in silos, leading to fragmented views and delayed responses to incidents.

As we enter the age of AI, we’ve seen the first wave of AI adoption in software development in the form of coding assistants. Now, we’re seeing the next phase of adoption take place, with organizations leveraging increasingly widely available LLMs to build AI-enabled software. Naturally, as the adoption of LLM platforms like OpenAI and Gemini grows, so does the security risk associated with using them.

Snyk is an excellent tool for spotting project vulnerabilities, including hardcoded secrets. In this blog, we'll show how you can use Snyk to locate hardcoded secrets and credentials and then refactor our code to use Doppler to store those secrets instead. We'll use the open source Snyk goof project as a reference Node.js boilerplate application, so feel free to follow along with us.

Have you ever wanted to fine-tune the configuration of your Bot Management? With self-service rules, you get finer control over bot scoring and customize it according to user behavior on your applications. In this blog, we will cover three use cases that will explain how to use this feature.