Tag: Threat Modeling
-
AI, ChatGPT, Cyber Attack, CyberSecurity, Data Science, InfoSecurity, Malware, Network Security, VulnerabilityA Critical Look at Security Flaws in Software Architecture
In the realm of software development, security is often an afterthought, with many organizations prioritizing functionality and user experience over protective measures. This oversight has given rise to a significant issue known as insecure design, where fundamental security vulnerabilities are embedded into the software architecture itself. In this blog, we will explore what insecure design…
-
Understanding Model Theft in LLMs
The emergence of Large Language Models (LLMs) has revolutionized various sectors, from customer service to content generation. However, alongside their numerous benefits, they also introduce significant security vulnerabilities, particularly concerning model theft. This blog explores what model theft entails, its implications for organizations, and recommended practices to mitigate these risks. What is Model Theft? Model…
-
AI, ChatGPT, Cyber Attack, CyberSecurity, Data Science, InfoSecurity, LLM, Network Security, VulnerabilityExcessive Agency Risks in LLMs
Large Language Models (LLMs) like ChatGPT are evolving rapidly, offering incredible opportunities for automation, content generation, and interaction. However, this immense capability comes with significant security risks. One of the critical risks is Excessive Agency, which refers to LLMs being granted too much control over tasks and decisions that should be carefully managed by humans.…
-
Insecure Plugin Design – Risks in LLMs
With the rise of Large Language Models (LLMs) like ChatGPT and GPT-4, the ecosystem of plugins and integrations is rapidly growing. Plugins allow these models to extend their capabilities by accessing external APIs, databases, and various functionalities, empowering developers to customize the models. However, insecure plugin design poses significant security risks, which OWASP has highlighted…
-
AI, ChatGPT, Cyber Attack, CyberSecurity, Data Science, InfoSecurity, LLM, Network Security, VulnerabilitySupply Chain Vulnerabilities in LLMs
As organizations increasingly rely on Large Language Models (LLMs) to automate various tasks, it becomes critical to understand the risks these models bring to the table. Supply chain vulnerabilities, in particular, are a significant concern. The systems that support LLMs involve a wide array of third-party libraries, APIs, and dependencies, which can introduce weaknesses in…
-
Understanding LLM Denial of Service
Large Language Models (LLMs) like GPT are widely used across industries for tasks like content generation, answering questions, and more. However, just like traditional systems, LLMs are not immune to security risks. One such risk is the Model Denial of Service (LLM04), a vulnerability that can disrupt or degrade the performance of AI models, similar…