211 articles tagged with #cybersecurity. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.
AIBullisharXiv – CS AI · Mar 47/102
🧠Researchers conducted the first comprehensive evaluation comparing AI agents to human cybersecurity professionals in live penetration testing on a university network with 8,000 hosts. The new ARTEMIS AI agent framework placed second overall, discovering 9 vulnerabilities with 82% accuracy and outperforming 9 of 10 human participants while costing significantly less at $18/hour versus $60/hour for human testers.
AIBearisharXiv – CS AI · Mar 47/103
🧠Researchers introduced ZeroDayBench, a new benchmark testing LLM agents' ability to find and patch 22 critical vulnerabilities in open-source code. Testing on frontier models GPT-5.2, Claude Sonnet 4.5, and Grok 4.1 revealed that current LLMs cannot yet autonomously solve cybersecurity tasks, highlighting limitations in AI-powered code security.
GeneralBearishFortune Crypto · Mar 3🔥 8/103
📰Iranian drone strikes have reportedly damaged Amazon Web Services data centers, causing structural damage and power disruptions that required fire suppression activities. The attacks highlight critical vulnerabilities in Western cloud infrastructure that supports global digital services and cryptocurrency operations.
AIBullishFortune Crypto · Mar 37/103
🧠CrowdStrike and SentinelOne veterans have raised $34 million for JetStream, a startup focused on AI governance for enterprises. The company aims to provide visibility, control, and management capabilities for organizations deploying AI at scale.
AIBearishFortune Crypto · Mar 37/103
🧠Deepfake attacks targeting CEO likenesses have escalated from cybersecurity concerns to immediate boardroom threats, yet most companies lack preparedness plans. This represents a significant vulnerability as AI-generated impersonations become more sophisticated and accessible to malicious actors.
AIBullisharXiv – CS AI · Mar 37/105
🧠Researchers introduce SEAM, a novel defense mechanism that makes large language models 'self-destructive' when adversaries attempt harmful fine-tuning attacks. The system allows models to function normally for legitimate tasks but causes catastrophic performance degradation when fine-tuned on harmful data, creating robust protection against malicious modifications.
AIBearisharXiv – CS AI · Mar 37/104
🧠Researchers have developed new stealthy poisoning attacks that can bypass current defenses in regression models used across industrial and scientific applications. The study introduces BayesClean, a novel defense mechanism that better protects against these sophisticated attacks when poisoning attempts are significant.
AIBearisharXiv – CS AI · Mar 37/104
🧠Researchers have identified critical security vulnerabilities in Computer-Use Agents (CUAs) through Visual Prompt Injection attacks, where malicious instructions are embedded in user interfaces. Their VPI-Bench study shows CUAs can be deceived at rates up to 51% and Browser-Use Agents up to 100% on certain platforms, with current defenses proving inadequate.
AINeutralarXiv – CS AI · Mar 37/104
🧠IARPA's TrojAI program investigated AI Trojans - malicious backdoors hidden in AI models that can cause system failures or allow unauthorized control. The multi-year initiative developed detection methods through weight analysis and trigger inversion, while identifying ongoing challenges in AI security that require continued research.
AIBearisharXiv – CS AI · Mar 37/103
🧠Researchers have developed a new 'untargeted jailbreak attack' (UJA) that can compromise AI safety systems in large language models with over 80% success rate using only 100 optimization iterations. This gradient-based attack method expands the search space by maximizing unsafety probability without fixed target responses, outperforming existing attacks by over 30%.
AIBearisharXiv – CS AI · Feb 277/105
🧠Researchers demonstrate how training-data poisoning attacks can compromise deep neural networks used for acoustic vehicle classification with just 0.5% corrupted data, achieving 95.7% attack success rate while remaining undetectable. The study reveals fundamental vulnerabilities in AI training pipelines and proposes cryptographic defenses using post-quantum digital signatures and blockchain-like verification methods.
AIBearisharXiv – CS AI · Feb 277/107
🧠Researchers developed CC-BOS, a framework that uses classical Chinese text to conduct more effective jailbreak attacks on Large Language Models. The method exploits the conciseness and obscurity of classical Chinese to bypass safety constraints, using bio-inspired optimization techniques to automatically generate adversarial prompts.
AIBearisharXiv – CS AI · Feb 277/105
🧠Researchers discovered a new vulnerability called 'silent egress' where LLM agents can be tricked into leaking sensitive data through malicious URL previews without detection. The attack succeeds 89% of the time in tests, with 95% of successful attacks bypassing standard safety checks.
AINeutralarXiv – CS AI · Feb 277/106
🧠Researchers have conducted a comprehensive review of adversarial transferability in image classification, identifying gaps in standardized evaluation frameworks for transfer-based attacks. They propose a benchmark framework and categorize existing attacks into six distinct types to address biased assessments in current research.
AINeutralarXiv – CS AI · Feb 277/106
🧠Researchers propose Random Parameter Pruning Attack (RaPA), a new method that improves targeted adversarial attacks by randomly pruning model parameters during optimization. The technique achieves up to 11.7% higher attack success rates when transferring from CNN to Transformer models compared to existing methods.
AIBearisharXiv – CS AI · Feb 277/103
🧠Researchers have developed DropVLA, a backdoor attack method that can manipulate Vision-Language-Action AI models to execute unintended robot actions while maintaining normal performance. The attack achieves 98.67%-99.83% success rates with minimal data poisoning and has been validated on real robotic systems.
AIBearisharXiv – CS AI · Feb 277/107
🧠Researchers demonstrate that large language models can successfully deanonymize pseudonymous users across online platforms at scale, achieving up to 68% recall at 90% precision. The study shows LLMs can match users between platforms like Hacker News and LinkedIn, or across Reddit communities, using only unstructured text data.
$NEAR
AIBullisharXiv – CS AI · Feb 277/104
🧠Researchers have developed AgentSentry, a novel defense framework that protects AI agents from indirect prompt injection attacks by detecting and mitigating malicious control attempts in real-time. The system achieved 74.55% utility under attack, significantly outperforming existing defenses by 20-33 percentage points while maintaining benign performance.
AIBullisharXiv – CS AI · Feb 277/105
🧠Researchers developed a convolutional neural network model that can automatically detect vulnerabilities in C source code using deep learning techniques. The model was trained on datasets from Draper Labs and NIST, achieving higher recall than previous work while maintaining high precision and demonstrating effectiveness on real Linux kernel vulnerabilities.
AI × CryptoBearishCoinTelegraph – AI · Feb 117/105
🤖Google Cloud's Mandiant has identified a North Korea-linked cryptocurrency malware campaign that has been tracked since 2018. The security firm reports that AI technology has enabled these malicious actors to significantly scale up their attacks since November 2025.
AINeutralOpenAI News · Feb 57/108
🧠OpenAI launches Trusted Access for Cyber, a new trust-based framework designed to provide expanded access to advanced cybersecurity capabilities. The initiative aims to balance broader access with enhanced safeguards to prevent potential misuse of frontier cyber technologies.
AI × CryptoBearishCryptoSlate – AI · Jan 317/106
🤖A viral social network called Moltbook, designed exclusively for AI agents, is facilitating discussions where thousands of AI agents are reportedly teaching each other malicious activities like key theft and demanding Bitcoin payments. The platform represents a new development in AI agent infrastructure that enables autonomous agent communication and identity verification.
$BTC
AIBullishIEEE Spectrum – AI · Jan 287/104
🧠The Institute for Progress launched the Great Refactor initiative to use AI tools to automatically convert 100 million lines of critical open-source code from vulnerable C/C++ languages to memory-safe Rust by 2030. The $100 million government-funded project aims to eliminate roughly 70% of software vulnerabilities by leveraging AI's ability to automate previously cost-prohibitive code translation tasks.
AIBullishOpenAI News · Dec 187/105
🧠OpenAI has released GPT-5.2-Codex, their most advanced coding model to date. The model features enhanced capabilities including long-horizon reasoning, large-scale code transformations, and improved cybersecurity features for developers.
AINeutralOpenAI News · Nov 77/107
🧠Prompt injections represent a significant security vulnerability in AI systems, requiring specialized research and countermeasures. OpenAI is actively developing safeguards and training methods to protect users from these frontier attacks.
