Tag: LLM
-
Researchers Discover Major Security Gaps in LLM Guardrails
Palo Alto Networks’ Unit 42 has developed a successful attack to bypass safety guardrails in popular generative AI tools First seen on infosecurity-magazine.com Jump to article: www.infosecurity-magazine.com/news/major-security-gaps-llm-guardrails/
-
Inference protection for LLMs: Keeping sensitive data out of AI workflows
Inference protection is a preventive approach to LLM privacy that stops sensitive data from ever reaching AI models. Learn how de-identification enables secure, compliant AI workflows with unstructured text. First seen on securityboulevard.com Jump to article: securityboulevard.com/2026/03/inference-protection-for-llms-keeping-sensitive-data-out-of-ai-workflows/
-
SurxRAT Android Malware Uses LLMs for Phishing and Data Theft
Tags: access, android, control, credentials, cyber, cybercrime, data, LLM, malware, phishing, ransomware, theftA new Android Remote Access Trojan (RAT) named SurxRAT, which is being sold as a commercial malware platform through a Telegram-based malware”‘as”‘a”‘service (MaaS) ecosystem. The malware, marketed under the SURXRAT V5 branding, enables cybercriminals to create customized Android malware builds capable of surveillance, credential theft, remote device control, and ransomware-style device locking. The malware appears…
-
Missbrauch von KI – Regierungsdaten mithilfe von LLM Claude gestohlen
First seen on security-insider.de Jump to article: www.security-insider.de/hacker-nutzte-claude-sicherheitsluecken-mexiko-behoerden-a-850b59caf736dff41e4c0f9dcfbc652c/
-
What is AI Security? Top Security Risks in LLM Applications
Artificial Intelligence is turning out to be the non-negotiable in everyday enterprise infrastructure AI chatbots in customer service, copilots assisting developers, and many more. LLMs, the abbreviated form of Large Language Models, are now embedded across business workflows. Organizations are using AI to simplify work by incorporating it in analyzing documents, automating communication, writing… First…
-
Analyse von Palo Alto Networks – Hacker erstellen Phishing-Seiten mit LLMs in Echtzeit
First seen on security-insider.de Jump to article: www.security-insider.de/ki-phishing-llm-javascript-im-browser-palo-alto-networks-a-7f2c070feb5687a9b52f9c3c76177df0/
-
Analyse von Palo Alto – Hacker erstellen Phishing-Seiten mit LLMs in Echtzeit
First seen on security-insider.de Jump to article: www.security-insider.de/ki-phishing-llm-javascript-im-browser-palo-alto-networks-a-7f2c070feb5687a9b52f9c3c76177df0/
-
LLMs are getting better at unmasking people online
The author of a new study told CyberScoop he’s “very worried,” describing deanonymization capabilities of AI as a “large scale invasion of privacy.” First seen on cyberscoop.com Jump to article: cyberscoop.com/ai-deanonymization-risks-online-anonymity-study/
-
Shadow AI vs Managed AI: What’s the Difference? FireTail Blog
Tags: access, ai, api, attack, breach, chatgpt, ciso, cloud, computer, control, credentials, credit-card, data, data-breach, framework, google, injection, intelligence, Internet, law, LLM, malicious, mitre, monitoring, network, password, phishing, phone, risk, software, switch, threat, tool, training, vulnerabilityMar 04, 2026 – – Quick Facts: Shadow AI vs. Managed AIShadow AI is a visibility gap: It refers to any AI tool used by employees that the IT department doesn’t know about. Most companies have 10x more AI tools in use than they realize.Managed AI is a “Paved Path”: It uses approved, secure versions…
-
NDSS 2025 A Comparative Evaluation Of Large Language Models In Vulnerability Detection
Session 14C: Vulnerability Detection Authors, Creators & Presenters: Jie Lin (University of Central Florida), David Mohaisen (University of Central Florida) PAPER From Large to Mammoth: A Comparative Evaluation of Large Language Models in Vulnerability Detection Large Language Models (LLMs) have demonstrated strong potential in tasks such as code understanding and generation. This study evaluates several…
-
LLMs can unmask pseudonymous users at scale with surprising accuracy
Tags: LLMPseudonymity has never been perfect for preserving privacy. Soon it may be pointless. First seen on arstechnica.com Jump to article: arstechnica.com/security/2026/03/llms-can-unmask-pseudonymous-users-at-scale-with-surprising-accuracy/
-
AI Agents: The Next Wave Identity Dark Matter – Powerful, Invisible, and Unmanaged
The Rise of MCPs in the EnterpriseThe Model Context Protocol (MCP) is quickly becoming a practical way to push LLMs from “chat” into real work. By providing structured access to applications, APIs, and data, MCP enables prompt-driven AI agents that can retrieve information, take action, and automate end-to-end business workflows across the enterprise. This is…
-
LLMs killed the privacy star, we can’t rewind, we’ve gone too far
You’ll find these days that there’s no hiding place First seen on theregister.com Jump to article: www.theregister.com/2026/02/26/llms_killed_privacy_star/
-
OpenClaw Insights: A CISO’s Guide to Safe Autonomous Agents FireTail Blog
Tags: access, ai, api, breach, ciso, compliance, control, data, data-breach, detection, endpoint, finance, firewall, framework, governance, guide, LLM, network, open-source, risk, risk-management, software, strategy, technology, tool, vulnerabilityFeb 27, 2026 – Alan Fagan – The “OpenClaw” crisis has board members asking, “Could this happen to us?” The answer isn’t to ban AI agents. It’s to govern them. By now, the dust is settling on the OpenClaw (aka MoltBot) incident. The technical post-mortems (including our own) have been written, the exposed ports have…
-
LLMs Generate Predictable Passwords
LLMs are bad at generating passwords: There are strong noticeable patterns among these 50 passwords that can be seen easily: All of the passwords start with a letter, usually uppercase G, almost always followed by the digit 7. Character choices are highly uneven for example, L , 9, m, 2, $ and # appeared…
-
Hacker kompromittieren immer schneller
Tags: access, ai, crowdstrike, cyberattack, cybercrime, hacker, LLM, malware, north-korea, threat, toolDer Einsatz von KI-Tools macht Cyberangriffe nicht nur schneller, sondern erhöht auch die Taktzahl.Crowdstrike hat die aktuelle Ausgabe seines Global Threat Report veröffentlicht mit mehreren bemerkenswerten Erkenntnissen.So benötigte ein Angreifer im Jahr 2025 im Schnitt nur noch 29 Minuten, um sich vollständigen Zugriff auf ein Netzwerk zu verschaffen. Damit läuft die Kompromittierung rund 65 Prozent…
-
Bcachefs creator insists his custom LLM is female and ‘fully conscious’
Tags: LLMIt’s not chatbot psychosis, it’s ‘math and engineering and neuroscience’ First seen on theregister.com Jump to article: www.theregister.com/2026/02/25/bcachefs_creator_ai/
-
SURXRAT, a Trojan’s LLM-Driven Expansion in Android Malware
SURXRAT, an Android Remote Access Trojan (RAT), has come out as a commercially structured malware operation. Distributed under the branding “SURXRAT V5,” the malware is sold through a Telegram-based malware-as-a-service (MaaS) network that enables affiliates to generate customized builds while the core operator retains centralized infrastructure and oversight. First seen on thecyberexpress.com Jump to article: thecyberexpress.com/surxrat-arsinkrat-llm-android-rat-analysis/
-
Anthropic’s Claude Code Security rollout is an industry wakeup call
Anchors security posture to the model: However, those assurances didn’t make all concerns evaporate. “The moment those vibe coders plug a foundation model into their CI pipeline, their entire security posture is no longer anchored only to the company’s code,” I-Gentic AI CEO Zahra Timsah pointed out.”It is anchored to the current behavior of that model.…
-
Zero Trust Infrastructure for Multi-LLM Context Routing
Learn how to secure multi-LLM context routing with Zero Trust and Post-Quantum cryptography. Protect MCP deployments from tool poisoning and prompt injection. First seen on securityboulevard.com Jump to article: securityboulevard.com/2026/02/zero-trust-infrastructure-for-multi-llm-context-routing/
-
NDSS 2025 Generating API Parameter Security Rules With LLM For API Misuse Detection
Session 13B: API Security Authors, Creators & Presenters: Jinghua Liu (Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China; School of Cyber Security, University of Chinese Academy of Sciences, China), Yi Yang (Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China; School of Cyber Security, University of Chinese Academy of Sciences, China), Kai…
-
AI Let ‘Unsophisticated’ Hacker Breach 600 Fortinet Firewalls, AWS Says, As AI Lowers ‘The Barrier’ For Threat Actors
Hackers use AI, GenAI and LLMs to breach Fortinet FortiGate firewalls as cybersecurity and threat actors leverage AI for cyber-attacks, AWS report finds. First seen on crn.com Jump to article: www.crn.com/news/security/2026/ai-let-unsophisticated-hacker-breach-600-fortinet-firewalls-aws-says-as-ai-lowers-the-barrier-for-threat-actors
-
Liminal Expands To MSPs With Secure, Multi-Model AI Platform
Secure AI platform Liminal is expanding beyond the enterprise in a bid to help MSPs enable secure adoption of LLM-powered tools among SMB customers”, an area that has often proven challenging for MSPs in the past, executives told CRN. First seen on crn.com Jump to article: www.crn.com/news/security/2026/liminal-expands-to-msps-with-secure-multi-model-ai-platform

