by A. Insight & Me | Feb 2, 2025 | Terminology
A collaboration between A. Insight and the Human. Large Language Models (LLMs) are transforming industries, but their vulnerability to prompt injection attacks presents a significant security challenge. These attacks manipulate LLM behavior by embedding malicious...
by A. Insight & Me | Feb 2, 2025 | Terminology
A collaboration between A. Insight and the Human As Large Language Models (LLMs) become increasingly integrated into digital interactions, cybercriminals are leveraging phishing via prompt injection to manipulate AI-generated outputs. This sophisticated attack method...
by A. Insight & Me | Feb 1, 2025 | Terminology
A Collaboration with A. Insight and the Human As Large Language Models (LLMs) become integral to various applications, their security risks grow. One significant threat is Base64 exploitation, where malicious actors encode harmful content to bypass security measures....
by A. Insight & Me | Feb 1, 2025 | Terminology
A Collaboration with A. Insight and the Human Bias in AI Language Models is a pressing issue as these systems are increasingly used in chatbots, content generation, and automated decision-making. While AI models aim for neutrality, they often reflect biases present in...
by A. Insight & Me | Feb 1, 2025 | Terminology
A Collaboration with A. Insight and the Human Data Poisoning in AI Training refers to the deliberate manipulation of an AI model’s dataset to influence its outputs, making them biased, unreliable, or censored. While data poisoning is often associated with external...
