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AI Pentesting (2)

LLM Overreliance: What It Is and How to Prevent

Even back in Episode V, C3PO expected R2D2 to know better than to trust a strange computer, but nearly half a century...
Oct 3, 2024
Est Read Time: 5 min

Insecure Plugin Design in LLMs: Prevention Strategies

Insecure plugin design in language learning models enables attackers to automatically launch malicious requests. This...
Sep 26, 2024
Est Read Time: 5 min

Using AI for Offensive Security: Executive Report Summary

The Cloud Security Alliance (CSA) has released an important new report on Using AI for Offensive Security. The report...
Sep 19, 2024
Est Read Time: 6 min

LLM Supply Chain Attack: Prevention Strategies

LLM supply chain attack vulnerabilities have emerged as a top risk for machine learning models. Third-party training...
Sep 16, 2024
Est Read Time: 6 min

EU AI Regulations: What Security Practitioners Need to Know

The EU Artificial Intelligence Act has entered into force, initiating a series of compliance deadlines that will begin...
Aug 30, 2024
Est Read Time: 10 min

AI Penetration Testing: Securing LLM-based Systems against Artificial Intelligence Vulnerabilities

As artificial intelligence and large language model adoption accelerates, AI penetration testing has become...
Aug 23, 2024
Est Read Time: 6 min

AI Advancements and Their Impact on Cybersecurity Trends

According to the State of Pentesting Report 2024, a vast majority (86%) of respondents say they have seen a significant...
Jun 4, 2024
Est Read Time: 6 min

The Security Risks of LLM-Powered Chatbots

A large language model (LLM) is a system that draws information from large databases and uses artificial intelligence...
May 28, 2024
Est Read Time: 5 min

LLM Vulnerability: Excessive Agency Overview

From prompt injection attacks to over reliance on model output correctness, large language models (LLMs) offer security...
Apr 30, 2024
Est Read Time: 4 min
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