Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Large Language Models (LLMs) have become central to many AI-driven applications. These models, such as OpenAI’s GPT and Google’s Bard, process massive amounts of data to generate human-like responses. Their ability to handle natural language has revolutionized industries from customer service to healthcare. However, as their use expands, so do concerns about LLM security. LLM security is critical because these models handle sensitive data, making them tempting targets for cybercriminals.

In today’s cyber landscape, threat actors are becoming increasingly sophisticated, often leveraging free tools and cloud services to launch targeted attacks. One such group, known as SloppyLemming, is making waves by using platforms like Cloudflare Workers to engage in espionage against government and law enforcement agencies in the Indian subcontinent. This blog delves into their methods, targets, and how organizations can bolster their defenses against such threats.

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.

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.

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.

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.