AI Security Newsletter - June, 2025 A digest of AI security research, insights, reports, upcoming events, and tools & resources. #AIsecurity #AdversarialAI #RedTeamAI #LLMsecurity #AINewsletter.

Zero-Trust Agents: Adding Identity and Access to Multi-Agent Workflows - AI agents need identity and trust just like humans. In this article, we demonstrate a zero-trust approach to autonomous AI agents by integrating Identity and access management into.

DeepSeek a threat to national security, warns Czech cyber agency @AlexMartin: "Czechia’s cybersecurity agency issued a formal warning this week detailing national security risks posed by the use of software provided by Chinese artificial intelligence

Decompiling Smart Contracts with a Large Language Model - The widespread lack of broad source code verification on blockchain explorers such as Etherscan, where despite 78, 047, 845 smart contracts deployed on Ethereum (as of May 26, 2025), a mere 767,

Vulnerability Detection Model using LLM and Code Chunk - Software supply chain vulnerabilities arise when attackers exploit weaknesses by injecting vulnerable code into widely used packages or libraries within software repositories. While most existing

Event-Driven Vulnerability Detection in Smart Contracts via LLM-Based Trace Analysis - With the advance application of blockchain technology in various fields, ensuring the security and stability of smart contracts has emerged as a critical challenge.

Using LLMs for Security Advisory Investigations - Large Language Models are increasingly used in software security, but their trustworthiness in generating accurate vulnerability advisories remains uncertain. This study investigates the ability of ChatGPT

Detecting Hard-Coded Credentials in Software Repositories via LLMs - Software developers frequently hard-code credentials such as passwords, generic secrets, private keys, and generic tokens in software repositories, even though it is strictly advised

AI-driven NIDS. Large Language Models for Network Intrusion Detection Systems: Foundations, Implementations, and Future Directions - Large Language Models (LLMs) have revolutionized various fields with their exceptional capabilities in understanding,

The Dark Side of LLMs: Agent-based Attacks for Complete Computer Takeover - The rapid adoption of Large Language Model (LLM) agents and multi-agent systems enables unprecedented capabilities in natural language processing and generation. However, these

The Hidden Threat in Plain Text: Attacking RAG Data Loaders - Large Language Models (LLMs) have transformed human–machine interaction since ChatGPT’s 2022 debut, with Retrieval-Augmented Generation (RAG) emerging as a key framework that enhances LLM

Unifying Jailbreak and Defense of LLMs via Generative Adversarial Attacks on their Internal Representations - Security alignment enables the Large Language Model (LLM) to gain the protection against malicious queries, but various jailbreak attack methods

Evaluating Language Models For Threat Detection in IoT Security Logs - Log analysis is a relevant research field in cybersecurity as they can provide a source of information for the detection of threats to networks and systems. This paper presents a