Question 1

What is Lyrie Research?

Accepted Answer

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.

Question 2

How does Lyrie.ai protect against rogue AI threats?

Accepted Answer

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.

Question 3

What cybersecurity topics does Lyrie Research cover?

Accepted Answer

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.

Question 4

How often is Lyrie Research updated?

Accepted Answer

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.

Question 5

Is Lyrie Research free to access?

Accepted Answer

Yes, all articles on Lyrie Research are freely accessible. For active protection by the same intelligence engine, visit lyrie.ai.

#LLM

When Prompts Become Shells: CVE-2026-25592 & CVE-2026-26030 and the New Attack Surface Every AI Team Is Missing

The First AI-Generated Zero-Day: Google's GTIG Report Confirms LLMs Have Crossed the Weaponization Threshold

The Mother of All AI Supply Chains: MCP's Architectural RCE Flaw and What It Means for Every AI Agent You Deploy

The LLM Attack Trinity: BadStyle Backdoors, IICL Safety Bypasses, and the RAG Black-Hole — Three New Research-Grade Attacks Converge on Enterprise AI

Death by a Thousand Prompts: The Salami Attack and the Industrialization of Multi-Turn LLM Jailbreaking

When the Framework Is the Vulnerability: Semantic Kernel RCE, MCP's Architectural Flaw, and the Collapse of the AI Agent Trust Boundary

The Theoretical Is Now Real: 10 In-the-Wild Indirect Prompt Injection Payloads and the Agentic AI Kill Chain

The Shadow AI Infrastructure Crisis: 91% of Internet-Exposed LLM Services Have No Authentication

The Third Layer: How AI Agent Skill Ecosystems Became the Supply Chain That No Scanner Can See

Poisoning the Well: RAG Knowledge Base Attacks and the Expanding AI Data Poisoning Surface in 2026

Locking Down the AI Stack: A 2026 Defender's Playbook for LLM Infrastructure

The Web That Whispers Back: 10 In-the-Wild Indirect Prompt Injection Payloads Signal Agentic AI as a Live Attack Surface

Automation-Exploit: Multi‑Agent LLMs weaponized with digital-twin guardrails