Introducing CodeMender: an AI agent for code security
Introducing CodeMender: an AI agent for code security Using advanced AI to fix critical software vulnerabilities
impact 41
AI & ML
313 stories from 28 sources
Microsoft, Salesforce Patch AI Agent Data Leak Flaws
Microsoft, Salesforce Patch AI Agent Data Leak Flaws Two recently fixed prompt injections in Salesforce Agentforce and Microsoft Copilot would have enabled an external attacker to leak sensitive data.
impact 39
Anthropic MCP Design Vulnerability Enables RCE, Threatening AI Supply Chain
Anthropic MCP Design Vulnerability Enables RCE, Threatening AI Supply Chain Cybersecurity researchers have discovered a critical "by design" weakness in the Model Context Protocol's (MCP) architecture that could pave th…
impact 38
Multi-Level Temporal Graph Networks with Local-Global Fusion for Industrial Fault Diagnosis
Multi-Level Temporal Graph Networks with Local-Global Fusion for Industrial Fault Diagnosis arXiv:2604.18765v1 Announce Type: cross Abstract: Fault detection and diagnosis are critical for the optimal and safe operation…
impact 34
Decompose, Structure, and Repair: A Neuro-Symbolic Framework for Autoformalization via Operator Trees
Decompose, Structure, and Repair: A Neuro-Symbolic Framework for Autoformalization via Operator Trees arXiv:2604.19000v1 Announce Type: cross Abstract: Statement autoformalization acts as a critical bridge between human…
impact 34
Fairness Audits of Institutional Risk Models in Deployed ML Pipelines
Fairness Audits of Institutional Risk Models in Deployed ML Pipelines arXiv:2604.19468v1 Announce Type: cross Abstract: Fairness audits of institutional risk models are critical for understanding how deployed machine le…
impact 34
When Graph Structure Becomes a Liability: A Critical Re-Evaluation of Graph Neural Networks for Bitcoin Fraud Detection under Temporal Distribution Shift
When Graph Structure Becomes a Liability: A Critical Re-Evaluation of Graph Neural Networks for Bitcoin Fraud Detection under Temporal Distribution Shift arXiv:2604.19514v1 Announce Type: cross Abstract: The consensus t…
impact 34
DP-FlogTinyLLM: Differentially private federated log anomaly detection using Tiny LLMs
DP-FlogTinyLLM: Differentially private federated log anomaly detection using Tiny LLMs arXiv:2604.19118v1 Announce Type: cross Abstract: Modern distributed systems generate massive volumes of log data that are critical…
impact 34
[Webinar] Eliminate Ghost Identities Before They Expose Your Enterprise Data
[Webinar] Eliminate Ghost Identities Before They Expose Your Enterprise Data In 2024, compromised service accounts and forgotten API keys were behind 68% of cloud breaches. Not phishing.
impact 33
Deepening our partnership with the UK AI Security Institute
Deepening our partnership with the UK AI Security Institute Google DeepMind and UK AI Security Institute (AISI) strengthen collaboration on critical AI safety and security research
impact 33
Google Antigravity in Crosshairs of Security Researchers, Cybercriminals
Google Antigravity in Crosshairs of Security Researchers, Cybercriminals Researchers discovered a remote code execution vulnerability and cybercriminals are using its reputation to deliver malware. The post Google Antig…
impact 28
Towards Optimal Agentic Architectures for Offensive Security Tasks
Towards Optimal Agentic Architectures for Offensive Security Tasks arXiv:2604.18718v1 Announce Type: cross Abstract: Agentic security systems increasingly audit live targets with tool-using LLMs, but prior systems fix a…
impact 26
Prompt to Pwn: Automated Exploit Generation for Smart Contracts
Prompt to Pwn: Automated Exploit Generation for Smart Contracts arXiv:2508.01371v3 Announce Type: replace Abstract: Smart contracts are important for digital finance, yet they are hard to patch once deployed. Prior work…
impact 26
Announcing Copilot leadership update
Announcing Copilot leadership update Satya Nadella, Chairman and CEO, and Mustafa Suleyman, Executive Vice President and CEO of Microsoft AI, shared the below communications with Microsoft employees this morning. SATYA…
impact 26
Claude Mythos Finds 271 Firefox Vulnerabilities
Claude Mythos Finds 271 Firefox Vulnerabilities All the flaws could have also been found by an elite human researcher, according to Mozilla. The post Claude Mythos Finds 271 Firefox Vulnerabilities appeared first on Sec…
impact 24
CAISI Issues Request for Information About Securing AI Agent Systems
CAISI Issues Request for Information About Securing AI Agent Systems The Center for AI Standards and Innovation (CAISI) at the U.S. Department of Commerce’s National Institute of Standards and Technology (NIST) has publ…
impact 24
CAISI Evaluation of DeepSeek AI Models Finds Shortcomings and Risks
CAISI Evaluation of DeepSeek AI Models Finds Shortcomings and Risks The Center for AI Standards and Innovation at NIST evaluated several leading models from DeepSeek, an AI company based in the People’s Republic of Chin…
impact 24
Toxic Combinations: When Cross-App Permissions Stack into Risk
Toxic Combinations: When Cross-App Permissions Stack into Risk On January 31, 2026, researchers disclosed that Moltbook, a social network built for AI agents, had left its database wide open, exposing 35,000 email addre…
impact 20
AI-Driven Pushpaganda Scam Exploits Google Discover to Spread Scareware and Ad Fraud
AI-Driven Pushpaganda Scam Exploits Google Discover to Spread Scareware and Ad Fraud Cybersecurity researchers have unmasked a novel ad fraud scheme that has been found to leverage search engine poisoning (SEO) techniqu…
impact 20
Now Meta will track what employees do on their computers to train its AI agents
Now Meta will track what employees do on their computers to train its AI agents Meta employees' activity at work is now being used to train the company's AI agents. As reported by Reuters, Meta is installing a tool it c…
impact 16
Top Law Firm Admits to AI ‘Hallucinations’ in Bankruptcy Filing Tied to Alleged Scam Network
Top Law Firm Admits to AI ‘Hallucinations’ in Bankruptcy Filing Tied to Alleged Scam Network Sullivan & Cromwell said internal safeguards were bypassed in the Prince Group case, resulting in fabricated and inaccurate le…
impact 16
AI needs a strong data fabric to deliver business value
AI needs a strong data fabric to deliver business value Artificial intelligence is moving quickly in the enterprise, from experimentation to everyday use. Organizations are deploying copilots, agents, and predictive sys…
impact 16
Anthropic’s most dangerous AI model just fell into the wrong hands
Anthropic’s most dangerous AI model just fell into the wrong hands Anthropic's Mythos AI model, a powerful cybersecurity tool that the company said could be dangerous in the wrong hands, has been accessed by a "small gr…
impact 16
ARES: Adaptive Red-Teaming and End-to-End Repair of Policy-Reward System
ARES: Adaptive Red-Teaming and End-to-End Repair of Policy-Reward System arXiv:2604.18789v1 Announce Type: new Abstract: Reinforcement Learning from Human Feedback (RLHF) is central to aligning Large Language Models (LL…
impact 16
AI scientists produce results without reasoning scientifically
AI scientists produce results without reasoning scientifically arXiv:2604.18805v1 Announce Type: new Abstract: Large language model (LLM)-based systems are increasingly deployed to conduct scientific research autonomous…
impact 16
Quantum inspired qubit qutrit neural networks for real time financial forecasting
Quantum inspired qubit qutrit neural networks for real time financial forecasting arXiv:2604.18838v1 Announce Type: new Abstract: This research investigates the performance and efficacy of machine learning models in sto…
impact 16
Human-Guided Harm Recovery for Computer Use Agents
Human-Guided Harm Recovery for Computer Use Agents arXiv:2604.18847v1 Announce Type: new Abstract: As LM agents gain the ability to execute actions on real computer systems, we need ways to not only prevent harmful acti…
impact 16
From Natural Language to Executable Narsese: A Neuro-Symbolic Benchmark and Pipeline for Reasoning with NARS
From Natural Language to Executable Narsese: A Neuro-Symbolic Benchmark and Pipeline for Reasoning with NARS arXiv:2604.18873v1 Announce Type: new Abstract: Large language models (LLMs) are highly capable at language ge…
impact 16
Formally Verified Patent Analysis via Dependent Type Theory: Machine-Checkable Certificates from a Hybrid AI + Lean 4 Pipeline
Formally Verified Patent Analysis via Dependent Type Theory: Machine-Checkable Certificates from a Hybrid AI + Lean 4 Pipeline arXiv:2604.18882v1 Announce Type: new Abstract: We present a formally verified framework for…
impact 16
Error-free Training for MedMNIST Datasets
Error-free Training for MedMNIST Datasets arXiv:2604.18916v1 Announce Type: new Abstract: In this paper, we introduce a new concept called Artificial Special Intelligence by which Machine Learning models for the classif…
impact 16
AutomationBench
AutomationBench arXiv:2604.18934v1 Announce Type: new Abstract: Existing AI benchmarks for software automation rarely combine cross-application coordination, autonomous API discovery, and policy adherence. Real business…
impact 16
Personalized Benchmarking: Evaluating LLMs by Individual Preferences
Personalized Benchmarking: Evaluating LLMs by Individual Preferences arXiv:2604.18943v1 Announce Type: new Abstract: With the rise in capabilities of large language models (LLMs) and their deployment in real-world tasks…
impact 16
Reasoning Structure Matters for Safety Alignment of Reasoning Models
Reasoning Structure Matters for Safety Alignment of Reasoning Models arXiv:2604.18946v1 Announce Type: new Abstract: Large reasoning models (LRMs) achieve strong performance on complex reasoning tasks but often generate…
impact 16
DW-Bench: Benchmarking LLMs on Data Warehouse Graph Topology Reasoning
DW-Bench: Benchmarking LLMs on Data Warehouse Graph Topology Reasoning arXiv:2604.18964v1 Announce Type: new Abstract: This paper introduces DW-Bench, a new benchmark that evaluates large language models (LLMs) on graph…
impact 16
SAVOIR: Learning Social Savoir-Faire via Shapley-based Reward Attribution
SAVOIR: Learning Social Savoir-Faire via Shapley-based Reward Attribution arXiv:2604.18982v1 Announce Type: new Abstract: Social intelligence, the ability to navigate complex interpersonal interactions, presents a funda…
impact 16
On Accelerating Grounded Code Development for Research
On Accelerating Grounded Code Development for Research arXiv:2604.19022v1 Announce Type: new Abstract: A major challenge for niche scientific and technical domains in leveraging coding agents is the lack of access to up…
impact 16
Learning Lifted Action Models from Unsupervised Visual Traces
Learning Lifted Action Models from Unsupervised Visual Traces arXiv:2604.19043v1 Announce Type: new Abstract: Efficient construction of models capturing the preconditions and effects of actions is essential for applying…
impact 16
Reinforcement Learning Improves LLM Accuracy and Reasoning in Disease Classification from Radiology Reports
Reinforcement Learning Improves LLM Accuracy and Reasoning in Disease Classification from Radiology Reports arXiv:2604.19060v1 Announce Type: new Abstract: Accurate disease classification from radiology reports is essen…
impact 16
Reasoning-Aware AIGC Detection via Alignment and Reinforcement
Reasoning-Aware AIGC Detection via Alignment and Reinforcement arXiv:2604.19172v1 Announce Type: new Abstract: The rapid advancement and widespread adoption of Large Language Models (LLMs) have elevated the need for rel…
impact 16
UAF: A Unified Audio Front-end LLM for Full-Duplex Speech Interaction
UAF: A Unified Audio Front-end LLM for Full-Duplex Speech Interaction arXiv:2604.19221v1 Announce Type: new Abstract: Full-duplex speech interaction, as the most natural and intuitive mode of human communication, is dri…
impact 16
Industrial Surface Defect Detection via Diffusion Generation and Asymmetric Student-Teacher Network
Industrial Surface Defect Detection via Diffusion Generation and Asymmetric Student-Teacher Network arXiv:2604.19240v1 Announce Type: new Abstract: Industrial surface defect detection often suffers from limited defect s…
impact 16
Explicit Trait Inference for Multi-Agent Coordination
Explicit Trait Inference for Multi-Agent Coordination arXiv:2604.19278v1 Announce Type: new Abstract: LLM-based multi-agent systems (MAS) show promise on complex tasks but remain prone to coordination failures such as g…
impact 16
Do Agents Dream of Root Shells? Partial-Credit Evaluation of LLM Agents in Capture The Flag Challenges
Do Agents Dream of Root Shells? Partial-Credit Evaluation of LLM Agents in Capture The Flag Challenges arXiv:2604.19354v1 Announce Type: new Abstract: Large Language Model (LLM) agents are increasingly proposed for auto…
impact 16
GRASPrune: Global Gating for Budgeted Structured Pruning of Large Language Models
GRASPrune: Global Gating for Budgeted Structured Pruning of Large Language Models arXiv:2604.19398v1 Announce Type: new Abstract: Large language models (LLMs) are expensive to serve because model parameters, attention c…
impact 16
Four-Axis Decision Alignment for Long-Horizon Enterprise AI Agents
Four-Axis Decision Alignment for Long-Horizon Enterprise AI Agents arXiv:2604.19457v1 Announce Type: new Abstract: Long-horizon enterprise agents make high-stakes decisions (loan underwriting, claims adjudication, clini…
impact 16
CoDA: Towards Effective Cross-domain Knowledge Transfer via CoT-guided Domain Adaptation
CoDA: Towards Effective Cross-domain Knowledge Transfer via CoT-guided Domain Adaptation arXiv:2604.19488v1 Announce Type: new Abstract: Large language models (LLMs) have achieved substantial advances in logical reasoni…
impact 16
SimDiff: Depth Pruning via Similarity and Difference
SimDiff: Depth Pruning via Similarity and Difference arXiv:2604.19520v1 Announce Type: new Abstract: Depth pruning improves the deployment efficiency of large language models (LLMs) by identifying and removing redundant…
impact 16
Revac: A Social Deduction Reasoning Agent
Revac: A Social Deduction Reasoning Agent arXiv:2604.19523v1 Announce Type: new Abstract: Social deduction games such as Mafia present a unique AI challenge: players must reason under uncertainty, interpret incomplete a…
impact 16
Enhancing Construction Worker Safety in Extreme Heat: A Machine Learning Approach Utilizing Wearable Technology for Predictive Health Analytics
Enhancing Construction Worker Safety in Extreme Heat: A Machine Learning Approach Utilizing Wearable Technology for Predictive Health Analytics arXiv:2604.19559v1 Announce Type: new Abstract: Construction workers are hi…
impact 16
Detecting Data Contamination in Large Language Models
Detecting Data Contamination in Large Language Models arXiv:2604.19561v1 Announce Type: new Abstract: Large Language Models (LLMs) utilize large amounts of data for their training, some of which may come from copyrighte…
impact 16
Multi-modal Reasoning with LLMs for Visual Semantic Arithmetic
Multi-modal Reasoning with LLMs for Visual Semantic Arithmetic arXiv:2604.19567v1 Announce Type: new Abstract: Reinforcement learning (RL) as post-training is crucial for enhancing the reasoning ability of large languag…
impact 16
Time Series Augmented Generation for Financial Applications
Time Series Augmented Generation for Financial Applications arXiv:2604.19633v1 Announce Type: new Abstract: Evaluating the reasoning capabilities of Large Language Models (LLMs) for complex, quantitative financial tasks…
impact 16
Modelling and Analysing Behaviours and Emotions via Complex User Interactions
Modelling and Analysing Behaviours and Emotions via Complex User Interactions arXiv:1902.07683v1 Announce Type: cross Abstract: Over the past 15 years, the volume, richness and quality of data collected from the combine…
impact 16
Two-dimensional early exit optimisation of LLM inference
Two-dimensional early exit optimisation of LLM inference arXiv:2604.18592v1 Announce Type: cross Abstract: We introduce a two-dimensional (2D) early exit strategy that coordinates layer-wise and sentence-wise exiting fo…
impact 16
Thermal Anomaly Detection using Physics Aware Neuromorphic Networks: Comparison between Raw and L1C Sentinel-2 Data
Thermal Anomaly Detection using Physics Aware Neuromorphic Networks: Comparison between Raw and L1C Sentinel-2 Data arXiv:2604.18606v1 Announce Type: cross Abstract: Damage caused by bushfires and volcanic eruptions esc…
impact 16
TurboEvolve: Towards Fast and Robust LLM-Driven Program Evolution
TurboEvolve: Towards Fast and Robust LLM-Driven Program Evolution arXiv:2604.18607v1 Announce Type: cross Abstract: LLM-driven program evolution can discover high-quality programs, but its cost and run-to-run variance h…
impact 16
SpikeMLLM: Spike-based Multimodal Large Language Models via Modality-Specific Temporal Scales and Temporal Compression
SpikeMLLM: Spike-based Multimodal Large Language Models via Modality-Specific Temporal Scales and Temporal Compression arXiv:2604.18610v1 Announce Type: cross Abstract: Multimodal Large Language Models (MLLMs) have achi…
impact 16
Agent-GWO: Collaborative Agents for Dynamic Prompt Optimization in Large Language Models
Agent-GWO: Collaborative Agents for Dynamic Prompt Optimization in Large Language Models arXiv:2604.18612v1 Announce Type: cross Abstract: Large Language Models (LLMs) have demonstrated strong capabilities in complex re…
impact 16
ARGUS: Agentic GPU Optimization Guided by Data-Flow Invariants
ARGUS: Agentic GPU Optimization Guided by Data-Flow Invariants arXiv:2604.18616v1 Announce Type: cross Abstract: LLM-based coding agents can generate functionally correct GPU kernels, yet their performance remains far b…
impact 16
NeuroAI and Beyond: Bridging Between Advances in Neuroscience and ArtificialIntelligence
NeuroAI and Beyond: Bridging Between Advances in Neuroscience and ArtificialIntelligence arXiv:2604.18637v1 Announce Type: cross Abstract: Neuroscience and Artificial Intelligence (AI) have made impressive progress in r…
impact 16