The advent and widespread acceptance of Large Language Models (LLMs), such as Microsoft Copilot, by organizations and even average consumers has created another surface threat area that cybersecurity teams must come to understand. To help with this process, Trustwave SpiderLabs conducted a Red Team exercise against a licensed version of Microsoft Copilot.

Envoy has carved out a critical role in cloud-native computing, becoming increasingly prevalent as the default ingress controller for Kubernetes. This high-performance proxy, developed by Lyft and now part of the Cloud Native Computing Foundation’s arsenal, is integral for companies scaling up their Kubernetes deployments. Envoy ensures efficient load balancing, security, and operational agility by managing external access to services within Kubernetes clusters,.

Legacy attack surfaces were small and simple. There were fewer servers and endpoints to protect. The tooling required to secure it was basic – perimeter firewalls, antivirus software, and server/network/application monitoring tools. When organizations migrate to the cloud, things change and become complex. For starters, on-premise infrastructure and applications can’t be left out in favor of the cloud. Most organizations run hybrid setups.

Adversaries’ persistent efforts to evade advancements in threat awareness and defense have shaped a cyber threat landscape dominated by their stealthy, fast-moving tactics. As they expand into the cloud environments where most organizations now operate, the need to hunt and remediate threats has become crucial.

Software as a Service (SaaS) has quickly become popular and has changed the way businesses work by making them more scalable, flexible, and efficient. Cloud-based apps are convenient, but they also come with the duty of keeping them safe from cyber threats. As more businesses move private data to the cloud, security for SaaS has become very important. This is because the data is vulnerable to risks like cyberattacks, data breaches, and unauthorized access.

By James Rees, MD, Razorthorn Security In the rapidly evolving world of cybersecurity, artificial intelligence (AI) and large language models (LLMs), have become buzzwords that seem to promise revolutionary solutions. However, as with any emerging technology, it’s crucial to separate hype from reality.

The Software Development Life Cycle (SDLC) provides a systematic framework for developing and maintaining software from conception to modification, producing high-quality software that meets stakeholder and customer requirements within specified time and cost constraints. However, traditional SDLC practices fall short of ensuring thorough application security. Why?

As organizations adopt a “digital-first” mentality, APIs have essentially become the backbone of modern applications, providing seamless integration between services, platforms, and third-party systems. For businesses, APIs help streamline processes and for consumers, APIs enable smooth and easily accessible digital services. However, an increased reliance on and growing number of APIs has also made them prime targets for cyberattacks.

You can detect spyware on an Android phone by recognizing the following signs: your phone suddenly becomes slow, the battery drains quickly, unfamiliar apps appear, it overheats frequently, you receive strange messages or it makes weird noises during phone calls. Spyware is a form of malware installed onto your device without your knowledge. Once spyware is installed, a cybercriminal can spy on you and collect private information like passwords or credit card numbers.