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◬ AI & Machine Learning Aug 05, 2026
Safety in Batches? Understanding and Mitigating Safety Failures in Batch Prompting

arXiv:2608.02681v1 Announce Type: new Abstract: Batch prompting is a practical inference strategy for large language models, but its safety implications remain underexplored. We show that the success …

arXiv Security Read →
◬ AI & Machine Learning Aug 05, 2026
DenialRAG: Single-Document RAG Poisoning via Embedded Parametric Denial

arXiv:2608.02678v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) systems are vulnerable to corpus poisoning: an attacker who inserts a crafted document into the retrieval corpus ca…

arXiv Security Read →
◬ AI & Machine Learning Aug 05, 2026
Moving the Safety Barrier: Dynamic Routing Adaptive Alignment Against White-Box Attacks

arXiv:2608.02674v1 Announce Type: new Abstract: With the widespread deployment of large foundation models (LFMs) in open environments, safety threats are shifting from black-box jailbreaks toward whit…

arXiv Security Read →
◬ AI & Machine Learning Aug 05, 2026
Security-First Evaluation of Text-to-Terraform: Benchmarking LLMs and SLMs for Secure IaC Generation

arXiv:2608.02672v1 Announce Type: new Abstract: Cloud misconfiguration remains a leading cause of security incidents, yet whether LLMs and SLMs can generate security-compliant Infrastructure-as-Code i…

arXiv Security Read →
◬ AI & Machine Learning Aug 05, 2026
On the Performance of Malware Detection Classifiers Using Hardware Performance Counters

arXiv:2608.02671v1 Announce Type: new Abstract: Malware detection using Hardware Performance Counters (HPC) has emerged as a promising solution to improve the security of computing systems as a comple…

arXiv Security Read →
◬ AI & Machine Learning Aug 05, 2026
Permission Denied: Policy-Graded Evaluation of Coding Agents in Hardened Environments

arXiv:2608.02670v1 Announce Type: new Abstract: Coding agents increasingly run inside organizations whose security controls (scoped credentials, restricted egress, read-only filesystems, non-root exec…

arXiv Security Read →
◬ AI & Machine Learning Aug 05, 2026
Vulnerabilities, Secrets and Misconfiguration in the Highest-Exposure Docker Hub Images

arXiv:2608.02669v1 Announce Type: new Abstract: Docker Hub is the registry underneath most container deployments, and a flaw in a widely reused base image is inherited by every image built on it. Prio…

arXiv Security Read →
◬ AI & Machine Learning Aug 05, 2026
Single Canonical Prompts Underestimate LLM Safety's Surface-Form Sensitivity

arXiv:2608.02665v1 Announce Type: new Abstract: A benchmark score is a measurement instrument, yet most benchmarks read each item at a single canonical surface form. We ask whether that reading is fai…

arXiv Security Read →
◬ AI & Machine Learning Aug 05, 2026
ZK-SR117: A Chunked Zero-Knowledge Attestation Design for Aggregated Fair-Lending Metrics, with a Control Mapping toward Full SR 11-7 Coverage

arXiv:2608.02664v1 Announce Type: new Abstract: Deploying ML models in regulated decision-making (credit underwriting, fraud detection, loan approval) requires demonstrating fairness and robustness to…

arXiv Security Read →
◬ AI & Machine Learning Aug 05, 2026
Your Agentic LLMs Secretly Encode Latent Signals of Indirect Prompt-Injection Exposure

arXiv:2608.02657v1 Announce Type: new Abstract: Agentic LLMs are vulnerable to indirect prompt injection (IPI) attacks, e.g., malicious side-tasks hidden in external tool results. While many efforts h…

arXiv Security Read →
◬ AI & Machine Learning Aug 05, 2026
Secure AI Watermarking Framework for IP Protection in Multi-Tenant Cloud Platforms

arXiv:2608.02656v1 Announce Type: new Abstract: The Secured data safe guard transaction with multi-tenant environments run on private-protected authenticate platforms runs by secured handed environmen…

arXiv Security Read →
◬ AI & Machine Learning Aug 05, 2026
Micro-Segmentation Anomaly Detection in Zero-Trust Software-Defined Network Fabrics

arXiv:2608.02627v1 Announce Type: new Abstract: Zero Trust Architecture (ZTA) principles need rigorous network segmentation and ongoing verification to reduce implicit trust and lateral threat propaga…

arXiv Security Read →
◬ AI & Machine Learning Aug 05, 2026
RSAC 2026 recap: AI security and network security trends - TechTarget

RSAC 2026 recap: AI security and network security trends TechTarget

TechTarget Read →
◬ AI & Machine Learning Aug 05, 2026
2026 Cybersecurity Excellence Awards: Community Choice Winners Selected Through 80,000 Votes - Cybersecurity Insiders

2026 Cybersecurity Excellence Awards: Community Choice Winners Selected Through 80,000 Votes Cybersecurity Insiders

Cybersecurity Insiders Read →
◬ AI & Machine Learning Aug 04, 2026
Cybersecurity Insiders announces 2026 Community Choice award winners - scanx.trade

Cybersecurity Insiders announces 2026 Community Choice award winners scanx.trade

scanx.trade Read →
◬ AI & Machine Learning Aug 04, 2026
Deploy local agents everywhere with LFM2.5-2.6B
Hugging Face Read →
◬ AI & Machine Learning Aug 04, 2026
Inside our 353,000-person vibe coding course

Kaggle’s AI Agents Intensive with Google brought learners together in a no-cost course to build and deploy the next frontier of AI.

Google AI Read →
◬ AI & Machine Learning Aug 04, 2026
The latest AI news we announced in July 2026

Here are Google’s latest AI updates from July 2026

Google AI Read →
◬ AI & Machine Learning Aug 04, 2026
Forrester Names AI Agent Threats the Top 2026 CISO Risk - Cybersecurity Insiders

Forrester Names AI Agent Threats the Top 2026 CISO Risk Cybersecurity Insiders

Cybersecurity Insiders Read →
◬ AI & Machine Learning Aug 04, 2026
Inverting the Hidden: Unveiling Multimodal Privacy Leakage in Collaborative LVLM Inference

arXiv:2608.01020v1 Announce Type: new Abstract: Collaborative inference deploys Large Vision-Language Models (LVLMs) by partitioning computation between edge devices and the cloud. While withholding r…

arXiv Security Read →
◬ AI & Machine Learning Aug 04, 2026
An AI Approach to Verified Production Cryptographic Libraries

arXiv:2608.00965v1 Announce Type: new Abstract: Cryptographic code is critical infrastructure that must be correct, yet formally verifying production libraries remains difficult. Existing language-mod…

arXiv Security Read →
◬ AI & Machine Learning Aug 04, 2026
What Syntax Cannot See: The Dynamic Syntactic Invariance Principle and Several Instances of the Same Hidden Assumption, and a Contradiction

arXiv:2608.00958v1 Announce Type: new Abstract: This paper develops a single method, find what an accepted result silently assumed, make it a variable, and prove what follows once it is dropped, and s…

arXiv Security Read →
◬ AI & Machine Learning Aug 04, 2026
NoisePQC++: A Unified NIST-Compliant PQC and Hybrid-PQC Implementation of the Noise Protocol

arXiv:2608.00954v1 Announce Type: new Abstract: The threat of quantum computers to classical public-key cryptography has created an urgent need to evolve secure communication protocols with post-quant…

arXiv Security Read →
◬ AI & Machine Learning Aug 04, 2026
Neuro-Symbolic Participation Governance for Verifiable AI Agents in Open Digital Twin Ecosystems

arXiv:2608.00937v1 Announce Type: new Abstract: Autonomous AI agents, increasingly empowered by large language models, are becoming important components of human-machine systems for high-stakes decisi…

arXiv Security Read →
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