How Traditional Methods Solve Modern Risks Natural Language Processing and Large Language Models The use of Large Language Models (LLMs) has become widespread and now covers a wide range of applications. However, awareness of the associated security risks is often incomplete. Many language models use chat histories to train newer model versions. As a result,… Continue reading How Traditional Methods Solve Modern Risks
Compliance is not enough – AI needs Security Why AI applications require new protection measures OVERVIEW Sometimes, safety mechanisms in technology fail. In science fiction movies, this is often staged spectacularly – a true classic. In The Day the Earth Stood Still (1951), the robot Gort spirals out of control. The protagonist Helen, however, is… Continue reading Compliance is not enough – AI needs Security
Balancing AI Adoption and Risk Awareness in Companies In 2024, sequire was represented at numerous conferences, panels, and workshops. A few examples: Julia Masloh, AI Solution Engineer, joined a panel at the State Chancellery discussing “Artificial Intelligence vs. Real Communication.” Our CEO Dr. Christoph Endres gave over a dozen talks on security vulnerabilities in generative… Continue reading What We Learned in 2024 About AI, Security, and Practical Implementation
“Human” gateway for the integration of generativeAI into company systems OVERVIEW Sensitization of employees One of the tasks that I still like to take on myself as Managing Director is securityawareness training. We go to a company or organization and train the employees there ontopics such as secure passwords, Ransomware, browser certificates, email encryption and… Continue reading GenAI: When your employees become a
security risk
