Remove vulnerabilities-threats
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The Vulnerabilities and Security Threats Facing Large Language Models

Unite.AI

However, for all their capabilities, these powerful AI systems also come with significant vulnerabilities that could be exploited by malicious actors. In this post, we will explore the attack vectors threat actors could leverage to compromise LLMs and propose countermeasures to bolster their security.

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Understanding the Dark Side of Large Language Models: A Comprehensive Guide to Security Threats and Vulnerabilities

Marktechpost

LLMs’ sophisticated generating capabilities make them a natural breeding ground for threats such as the creation of phishing emails, malware, and false information. This opens the door for previously disabled threats to return. If you like our work, you will love our newsletter.

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Far AI Research Discovers Emerging Threats in GPT-4 APIs: A Deep Dive into Fine-Tuning, Function Calling, and Knowledge Retrieval Vulnerabilities

Marktechpost

The approach is proactive, centering around identifying potential vulnerabilities through comprehensive red-teaming exercises. The study aims to uncover latent vulnerabilities in the models’ responses and identify how they can be manipulated or misled. The findings from this in-depth analysis are revealing.

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What is the vulnerability management process?

IBM Journey to AI blog

Every one of these assets plays a vital role in business operations—and any of them could contain vulnerabilities that threat actors can use to sow chaos. Organizations rely on the vulnerability management process to head off these cyberthreats before they strike. Coding errors—e.g.,

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Navigating the AI Security Landscape: A Deep Dive into the HiddenLayer Threat Report

Unite.AI

In the rapidly advancing domain of artificial intelligence (AI), the HiddenLayer Threat Report , produced by HiddenLayer —a leading provider of security for AI—illuminates the complex and often perilous intersection of AI and cybersecurity.

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Anthropic Finds a Way to Extract Harmful Responses from LLMs

Analytics Vidhya

Artificial intelligence (AI) researchers at Anthropic have uncovered a concerning vulnerability in large language models (LLMs), exposing them to manipulation by threat actors. Dubbed the “many-shot jailbreaking” technique, this exploit poses a significant risk of eliciting harmful or unethical responses from AI systems.

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What are Breach and Attack Simulations?

IBM Journey to AI blog

Like a red team exercise, breach and attack simulations use the real-world attack tactics, techniques, and procedures (TTPs) employed by hackers to proactively identify and mitigate security vulnerabilities before they can be exploited by actual threat actors. How does breach and attack simulation work?

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