What is Lyrie Research?

Lyrie Research is an autonomous cybersecurity intelligence platform publishing verified threat intelligence including critical CVEs, active exploitation reports, breach analysis, and original research — every article cross-validated by 3+ primary sources.

How does Lyrie.ai protect against rogue AI threats?

Lyrie.ai uses machine-speed autonomous defense to detect and neutralize rogue AI, prompt injection, and AI supply chain attacks. It responds before human analysts can react.

What cybersecurity topics does Lyrie Research cover?

Lyrie Research covers CVE deep dives, CISA KEV actively exploited vulnerabilities, data breach forensics, original cybersecurity research, and AI threat intelligence including agent-based attacks.

How often is Lyrie Research updated?

Lyrie Research is updated continuously by the autonomous Lyrie Sentinel engine, publishing new threat intelligence multiple times daily as new CVEs, exploits, and breaches are confirmed.

Research

arXiv cs.CR: A formal framework for the economic security of DeFi compositions

arXiv cs.CR: Bitcoin After Block Rewards

arXiv cs.CR: CRESS: Quantifying Vulnerabilities of Attack Scenarios in Hardware Reverse Engineering

arXiv cs.CR: Domain-Conditioned Safety in Frontier Computer-Using Agents: A 793-Episode Browser Benchmark, a Coding-Domain Cross-Reference, and a Reproducibility Audit of Recent Red-Teaming

arXiv cs.CR: From Attack Simulation to SIEM Rule: Deterministic Detection-as-Code Synthesis with Probe-Level Traceability

arXiv cs.CR: Policy-Compliant Cloud Storage Systems

arXiv cs.CR: Search-Time Contamination in Deep Research Agents: Measuring Performance Inflation in Public Benchmark Evaluation

arXiv cs.CR: SHIELDS: Automating OS Hardening with Iterative Multi-Agent Remediation

arXiv cs.CR: Willing but Unable: Separating Refusal from Capability in Code LLMs via Abliteration

arXiv cs.CR: ZERO-APT: A Closed-Loop Adversarial Framework for LLM-Driven Automated Penetration Testing under Intelligent Defense

arXiv cs.CR: Bayesian Membership Privacy for Graph Neural Networks

arXiv cs.CR: Caught in the Act(ivation): Toward Pre-Output and Multi-Turn Detection of Credential Exfiltration by LLM Agents

arXiv cs.CR: Covert Influence Between Language Models

arXiv cs.CR: Formal verification of the S-two AIR

arXiv cs.CR: Long-Term and Short-Term Transistor Aging in Deep Neural Networks: Impact and Mitigation

arXiv cs.CR: MaskForge: Structure-Aware Adaptive Attacks for Jailbreaking Diffusion Large Language Models

arXiv cs.CR: MimeLens: Position-Agnostic Content-Type Detection for Binary Fragments

arXiv cs.CR: Need to Know: Contextual-Integrity-Grounded Query Rewriting for Privacy-Conscious LLM Delegation

arXiv cs.CR: Notarized Agents: Receiver-Attested Confidential Receipts for AI Agent Actions

arXiv cs.CR: Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks

arXiv cs.CR: A New Framework for Cybersecurity Refusals in AI Agents

arXiv cs.CR: Cross-Vendor Sola ISPM Benchmark: Evaluating Agentic AI for Federated Identity Security Reasoning

arXiv cs.CR: D-Judge: Disrupting Multi-Turn Jailbreaks using Semantics-Preserving Output Rewriting

arXiv cs.CR: Human Factors in Cybersecurity in Icelandic Small and Medium-sized Enterprises

arXiv cs.CR: Inference Cost Attacks for Retrieval-Augmented Large Language Models

arXiv cs.CR: Large Byte Model: Teaching Language Models About Compiled Code

arXiv cs.CR: MultiTurnPSB: Evaluating Multi-Turn Jailbreak Attacks an dClassifier-Based Defenses for Medical AI Safety

arXiv cs.CR: On Improving Robustness of Deepfake Image Detectors

arXiv cs.CR: What You Approve Is What Executes: Consent Integrity for Black-Box LLM Agents

arXiv cs.CR: Which Defense Closes Which Threat? Attributing OWASP-LLM-Top-10 Coverage and Its Brittleness Under Paraphrasing

arXiv cs.CR: A Protocol-Language Model for Network Intrusion (Without Deep Packet Inspection)

arXiv cs.CR: A Survey on Security with Quantum Computing

arXiv cs.CR: DataShield: Safety-degrading Data Filtering for LLM Benign Instruction Fine-Tuning

arXiv cs.CR: From Frontier to Shadow AI: A Simmering Threat to Assurance and Security in Critical Infrastructure

arXiv cs.CR: How to Compare the Security of Code Written by Humans to LLM-generated Code

arXiv cs.CR: Improving IoT Intrusion Detection Through SMOTE-Based Oversampling and Extended Multi-Model Evaluation on Side-Channel Power Data

arXiv cs.CR: Inferring Routing-Layer Defense Mechanisms from Observable Behavior in OLSR-Based MANETs

arXiv cs.CR: Persona Attack: Incremental Memory Injection Jailbreak Attack against Large Language Models

arXiv cs.CR: PrivacyPeek: Auditing What LLM-Based Agents Acquire, Not Just What They Say

arXiv cs.CR: XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT

arXiv cs.CR: AdvScene: Rethinking Adversarial Patch Evaluation Through Scene Robustness

arXiv cs.CR: An Organization-Scoped LLM Agent Runtime Architecture for Regulated Cybersecurity Operations

arXiv cs.CR: Audio Pirates: Black-box Audio Watermark Removal via Diffusion Priors

arXiv cs.CR: Automatically Attacking Software Reverse Engineering AI Agents

arXiv cs.CR: CacheProbe: Auditing Prompt Cache Isolation in Gateway APIs

arXiv cs.CR: Escaping the Linearity Trap: Manifold Detours for Black-Box Adversarial Attacks on Singing Audio Deepfake Detection

arXiv cs.CR: Investigating Detection and Obfuscation of Prompt Injection Attacks Against Software Reverse Engineering AI Agents

arXiv cs.CR: Strengthening Polymorphic Prompt Assembling: Dynamic Separator Generation Against Emerging Prompt Injection Attacks

arXiv cs.CR: The Surface You Test Is Not the Surface That Breaks

arXiv cs.CR: When AI Meets Wall Street: A Survey on Trustworthy AI in Fintech

arXiv cs.CR: A Secure, Manifest-Based Framework for Delegated Privilege Promotion

arXiv cs.CR: AIRGuard: Guarding Agent Actions with Runtime Authority Control

arXiv cs.CR: Echoes within the Reasoning: Stealthy and Effective Watermarking via Chain of Thought

arXiv cs.CR: GEO-Bench: Benchmarking Ranking Manipulation in Generative Engine Optimization

arXiv cs.CR: Measuring Real-World Prompt Injection Attacks in LLM-based Resume Screening

arXiv cs.CR: Optimal Rates for Differentially Private Hypothesis Testing with E-values

arXiv cs.CR: Quantum-Enhanced Adversarial Robustness in Artificial Intelligence

arXiv cs.CR: ReasonBreak: Probing Vulnerabilities in Reasoning-Enabled Vision-Language-Action Models for Autonomous Driving

arXiv cs.CR: Techreport: Evaluating Tor-based Location Privacy for Ethereum Validators

arXiv cs.CR: unix-ctf: Procedural Environments for Unix-Competence Reinforcement Learning

arXiv cs.CR: A Note on Boosting Uncloneable Encryption in Microcrypt

arXiv cs.CR: Analyzing Linear Layers in Related-Differential Cryptanalysis

arXiv cs.CR: Assessor Experiences in CMMC Level 2 Certification Assessments: An Interpretative Phenomenological Analysis of Role Expectations

arXiv cs.CR: Backdoor Attacks on Fault Detection and Localization in Cyber-Physical Systems

arXiv cs.CR: Cloak: Heuristic ORAM Optimization Through Fixed Temporal Distribution

arXiv cs.CR: Grimlock: Guarding High-Agency Systems with eBPF and Attested Channels

arXiv cs.CR: Grounded Cache Routing for Retrieval-Augmented Generation: When Is It Safe to Reuse an Answer?

arXiv cs.CR: HARP: Measuring Harm Amplification in Multi-Agent LLM Systems

arXiv cs.CR: Poison with Style: A Practical Poisoning Attack on Code Large Language Models

arXiv cs.CR: Silent Consent, Persistent Risk: Android Permission Groups and Custom Permissions

arXiv cs.CR: AgentSecBench: Measuring Prompt Injection, Privacy Leakage, and Tool-Use Integrity in LLM Agents

arXiv cs.CR: Context-Aware Metric Differential Privacy for Vehicle Trajectory Data

arXiv cs.CR: CyberEvolver: Structured Self-Evolution for Cybersecurity Agents On the Fly

arXiv cs.CR: Enhancing Autonomous Online Intrusion Detection for IoT with Balanced Learning, Reliable Pseudo-Labels, and Lightweight Architectures

arXiv cs.CR: Furina: Fragmented Uncertainty-Driven Refusal Instability Attack

arXiv cs.CR: Intelligent Detection and Mitigation of Carpet-Bombing DDoS Attacks in SDN Using Retrieval-Augmented Generation and Large Language Models

arXiv cs.CR: Jailbreak susceptibility prediction and mitigation via the behavioral geometry of models

arXiv cs.CR: MemMorph: Tool Hijacking in LLM Agents via Memory Poisoning

arXiv cs.CR: Sandlock: Confining AI Agent Code with Unprivileged Linux Primitives