LLM
Backdoors in the Age of LLMs: The Hidden Threat Inside AI
Large language models (LLMs) are rapidly moving from experimental technology to critical enterprise infrastructure. They write software, summarize sensitive documents, assist security analysts, power customer-facing applications, and increasingly influence business decisions. But as organizations focus on securing AI applications and APIs, another threat deserves equal attention: the possibility of hidden backdoors inside the models themselves. […]
Agentic Ransomware on the prowl through LLMs
Artificial intelligence has increasingly become a double-edged sword in the cybersecurity landscape. While organizations use AI to strengthen their defenses, cybercriminals are also taking advantage of the technology to create more advanced and efficient attacks. Until recently, AI was mainly viewed as a tool that helped attackers write malicious code, automate phishing campaigns, or improve […]
Three Prompt Injection Patterns Your AI Security Detection Stack Misses
Prompt injection has become the AI security gap that detection engineering teams have no tooling for yet. The attack doesn’t arrive at the firewall looking like an attack. It arrives as a PDF a customer uploaded, a task description an AI agent retrieved, or a calendar invite the scheduling assistant processed. By the time the […]
Why a manipulated Transformer can pose a Cyber Threat to an AI Model
Modern artificial intelligence systems increasingly rely on transformer-based architectures, which have become the backbone of many advanced machine learning applications. From natural language processing to computer vision, transformers power a wide range of AI models, including systems such as ChatGPT developed by OpenAI and BERT developed by Google. While these models offer remarkable capabilities, they […]
Signs that a Large Language Model LLM has been compromised with backdoor Malware
As large language models (LLMs) become more deeply integrated into enterprise systems, developer tools, and decision-making pipelines, they also become attractive targets for malicious actors. One particularly dangerous threat is a backdoored LLM—a model that appears to function normally but has been subtly manipulated to behave maliciously under specific conditions. Detecting such compromises is challenging, […]
