Coverage tagged "Prompt Injection".
arXiv:2610.28810v1 Announce Type: new Abstract: The widespread adoption of generative artificial intelligence in recent years has brought a parallel rise in prompt injection and jailbreak attacks. By…
arXiv:2610.29379v1 Announce Type: new Abstract: LLM-based vulnerability discovery harnesses can miss real, reachable vulnerabilities because of how the harness around the model is built. Steps that…
arXiv:2610.29747v1 Announce Type: new Abstract: Large language models (LLMs) are entering digital forensics as examination assistants and autonomous agents. Digital forensics inverts the usual…
“AI pentesting” now covers very different products. Some platforms plan and run attack chains on their own and return exploitation evidence for every finding. Others are vulnerability scanners with a…
Microsoft urges organizations to secure AI Agents as insider threats, using dynamic permissions, continuous risk monitoring and automated containment. Microsoft published a detailed blog post…
arXiv:2610.24277v1 Announce Type: new Abstract: Browser agents automate complex workflows by reading and acting on arbitrary page content, but this flexibility exposes them to prompt injection…
arXiv:2610.24311v1 Announce Type: new Abstract: AI agents increasingly interact with external environments to complete complex user tasks. These interactions can lead to unexpected behavior and…
arXiv:2610.24999v1 Announce Type: new Abstract: Prompt injection is the dominant security risk for large-language-model (LLM) applications and agents, yet the field still lacks a coherent map of how…
arXiv:2610.22873v1 Announce Type: new Abstract: Modern large language model (LLM) systems reuse key-value (KV) caches to accelerate inference. Recent work has shown that reusing KV caches from…
A seller on a restricted criminal forum is marketing an autonomous hacking tool that runs on stolen OpenAI, Anthropic and Google API keys, so the key’s owner pays for the scans. Bitsight’s threat…
arXiv:2610.20776v1 Announce Type: new Abstract: LLM-based agents increasingly execute long-horizon, end-to-end workflows involving shell commands, code modification, dependency installation, and…
I believe the cybersecurity industry may be approaching AI security the wrong way. AI agents are becoming more powerful every day. Systems like ChatGPT, Claude, and Grok can write and execute code…
We evaluate Jev's prompt injection detection and show how counterfeit classification policies can steer its decisions and bypass LangChain's tool-risk gating.
IntroductionZscaler ThreatLabz analyzed a recently active exploitation campaign in which a threat actor abused ARTEX to target South Korean financial institutions. ARTEX is an open source agentic…
You ignored the suspicious email. You didn’t open the attachment, click the link, or reply to the sender. Then you asked your AI assistant to summarize your inbox.
arXiv:2610.12524v1 Announce Type: new Abstract: As autonomous AI agents become more integrated into sensitive domains, it is crucial that single and multi-agent AI systems are secured. This paper…
arXiv:2610.10742v1 Announce Type: new Abstract: AI systems increasingly rely on Large Language Models (LLMs) as core reasoning engines, making them targets for prompt injection and jailbreaks…
Community-built AI agents, skills, and MCP servers are landing in SOC workflows fast. Here’s what the Exchange Inspector tests before a listing earns its vetted tag on the CyberAgents Exchange. Three…
arXiv:2610.08951v1 Announce Type: new Abstract: LLM agents retrieve untrusted content and act through tools, creating indirect prompt-injection risks that can cause unauthorized actions or persistent…
arXiv:2610.09264v1 Announce Type: new Abstract: Modern agentic coding frameworks increasingly rely on community-shared rule files (e.g., AGENTS.md or .cursorrules) to guide autonomous code…
