As more companies adopt Software-as-a-Service (SaaS) apps, keeping these cloud-based systems secure has become crucial. While SaaS offers convenience, scalability, and flexibility, it also introduces significant security risks. Organizations must actively monitor and control the security of their SaaS environments. SaaS Security Posture Management / SSPM is becoming an essential tool for this task.

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.

Eric Brüggemann, the new CEO of Code Intelligence, stepped into the role in September. We asked him about his vision of the role and future of AI and fuzz testing in securing automotive software.

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.