fence-agents security update

An update is available for fence-agents. This update affects Rocky Linux 8. A Common Vulnerability Scoring System CVSS base score, which gives a detailed severity rating, is available for each vulnerability from the CVE list The fence-agents packages provide a collection of scripts for handling...

fence-agents bug fix update

An update is available for fence-agents. This update affects Rocky Linux 8. A Common Vulnerability Scoring System CVSS base score, which gives a detailed severity rating, is available for each vulnerability from the CVE list The fence-agents packages provide a collection of scripts for handling...

fence-agents bug fix update

An update is available for fence-agents. This update affects Rocky Linux 8. A Common Vulnerability Scoring System CVSS base score, which gives a detailed severity rating, is available for each vulnerability from the CVE list The fence-agents packages provide a collection of scripts for handling...

fence-agents bug fix update

An update is available for fence-agents. This update affects Rocky Linux 8. A Common Vulnerability Scoring System CVSS base score, which gives a detailed severity rating, is available for each vulnerability from the CVE list The fence-agents packages provide a collection of scripts for handling...

US Border Agents Are Asking for Help Taking Photos of Everyone Entering the Country by Car

Customs and Border Protection has called for tech companies to pitch real-time face recognition technology that can capture everyone in a vehicle—not just those in the front seats...

LlamaFirewall: an Open Source Guardrail System for Building Secure AI Agents

Large language models LLMs have evolved from simple chatbots into autonomous agents capable of performing complex tasks such as editing production code, orchestrating workflows, and taking higher-stakes actions based on untrusted inputs like webpages and emails. These capabilities introduce new...

CAMEL - The First And The Best Multi-Agent Framework. Finding The Scaling Law Of Agents

🐫 CAMEL is an open-source community dedicated to finding the scaling laws of agents. We believe that studying these agents on a large scale offers valuable insights into their behaviors, capabilities, and potential risks. To facilitate research in this field, we implement and support various type...

Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents

Whitepaper called Open Challenges In Multi-Agent Security: Towards Secure Systems Of Interacting AI Agents...

Securing Agentic AI: a Comprehensive Threat Model and Mitigation Framework for Generative AI Agents

As generative AI GenAI agents become more common in enterprise settings, they introduce security challenges that differ significantly from those posed by traditional systems. These agents are not just LLMs; they reason, remember, and act, often with minimal human oversight. This paper introduces ...

Security Bulletin: IBM Spectrum Protect Plus vulnerability discloses sensitive information due to unencrypted data in transit (CVE-2020-4497)

Summary IBM Spectrum Protect Plus does not encrypt data transfer between vSnap servers and application agents. This could allow an attacker to view senstive information in transit. Vulnerability Details CVEID:CVE-2020-4497 DESCRIPTION: IBM Spectrum Protect Plus discloses sensitive information due...

Securing GenAI Multi-Agent Systems against Tool Squatting: a Zero Trust Registry-Based Approach

The rise of generative AI GenAI multi-agent systems MAS necessitates standardized protocols enabling agents to discover and interact with external tools. However, these protocols introduce new security challenges, particularly; tool squatting; the deceptive registration or representation of tools...

LLMpatronous: Harnessing the Power of LLMs for Vulnerability Detection

Despite the transformative impact of Artificial Intelligence AI across various sectors, cyber security continues to rely on traditional static and dynamic analysis tools, hampered by high false positive rates and superficial code comprehension. While generative AI offers promising automation...

New whitepaper outlines the taxonomy of failure modes in AI agents

We are releasing a taxonomy of failure modes in AI agents to help security professionals and machine learning engineers think through how AI systems can fail and design them with safety and security in mind. The taxonomy continues Microsoft AI Red Team's work to lead the creation of systematizati...

New whitepaper outlines the taxonomy of failure modes in AI agents

We are releasing a taxonomy of failure modes in AI agents to help security professionals and machine learning engineers think through how AI systems can fail and design them with safety and security in mind. The taxonomy continues Microsoft AI Red Team's work to lead the creation of systematizati...

DoomArena: a Framework for Testing AI Agents against Evolving Security Threats

We present DoomArena, a security evaluation framework for AI agents. DoomArena is designed on three principles: 1 It is a plug-in framework and integrates easily into realistic agentic frameworks like BrowserGym for web agents and $τ$-bench for tool calling agents; 2 It is configurable and allows...

Florida Man Enters the Encryption Wars

Plus: A US judge rules against police cell phone “tower dumps,” China names alleged NSA agents it says were involved in cyberattacks, and Customs and Border Protection reveals its social media spying tools...

Trusted Identities for AI Agents: Leveraging Telco-Hosted ESIM Infrastructure

The rise of autonomous AI agents in enterprise and industrial environments introduces a critical challenge: how to securely assign, verify, and manage their identities across distributed systems. Existing identity frameworks based on API keys, certificates, or application-layer credentials lack t...

On the Feasibility of Using MultiModal LLMs to Execute AR Social Engineering Attacks

Augmented Reality AR and Multimodal Large Language Models LLMs are rapidly evolving, providing unprecedented capabilities for human-computer interaction. However, their integration introduces a new attack surface for social engineering. In this paper, we systematically investigate the feasibility...

The Obvious Invisible Threat: LLM-Powered GUI Agents' Vulnerability to Fine-Print Injections

A Large Language Model LLM powered GUI agent is a specialized autonomous system that performs tasks on the user's behalf according to high-level instructions. It does so by perceiving and interpreting the graphical user interfaces GUIs of relevant apps, often visually, inferring necessary sequenc...

X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents

Multi-turn interactions with language models LMs pose critical safety risks, as harmful intent can be strategically spread across exchanges. Yet, the vast majority of prior work has focused on single-turn safety, while adaptability and diversity remain among the key challenges of multi-turn...