Tag: Cyber Security
-
AI, ChatGPT, Cyber Attack, CyberSecurity, Data Science, InfoSecurity, Malware, Network Security, Vulnerability
A 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…
-
The Risks of Over-reliance on LLMs
As the use of Large Language Models (LLMs) like OpenAI’s GPT models grows, so does the temptation to lean heavily on these tools for a wide range of cybersecurity tasks, from threat detection to automation. While LLMs bring tremendous potential for efficiency, their overreliance poses several risks, particularly in security-critical operations. The OWASP (Open Worldwide…
-
AI, ChatGPT, Cyber Attack, CyberSecurity, Data Science, InfoSecurity, LLM, Network Security, Vulnerability
Excessive 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…
-
Sensitive Information Disclosure in LLMs
With the rapid advancement of large language models (LLMs), such as OpenAI’s ChatGPT, there is growing concern over the potential for sensitive information disclosure. As AI becomes more integrated into everyday applications, the risk of inadvertently revealing confidential data has become a major issue. This risk is categorized under the OWASP Top 10 for Large…