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About CyberNewsAI

Authoritative, research-driven threat intelligence delivering actionable zero-day advisories, exploit root-cause breakdowns, and defensive mitigation playbooks for modern Security Operations Centers (SOCs).

Our Mission: Signal Over Noise

In an era of relentless cyber warfare, enterprise defenders cannot afford to wade through regurgitated press releases and generic commentary. When a critical remote code execution vulnerability breaks or an APT syndicate compromises an edge gateway, security teams need three things immediately: what happened, how the exploit works, and how to detect and neutralize it today.

CyberNewsAI was built to solve this challenge. We combine 24/7 automated telemetry reconnaissance with deep technical incident response expertise to publish rapid, fact-dense intelligence briefs tailored for CISOs, security engineers, threat hunters, and DFIR practitioners.

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Editorial Verification & Research Methodology

Every intelligence brief published on CyberNewsAI adheres to rigorous technical standards designed to eliminate speculation and provide verifiable data:

01. CVE & CVSS Attribution

Every vulnerability report cites the official Common Vulnerabilities and Exposures (CVE) identifier, CVSS v3.1/v4 base scores, and cross-references authoritative catalogs including CISA KEV and the National Vulnerability Database (NVD).

02. MITRE ATT&CK Mapping

Adversary tradecraft and attack chains are structured into standardized MITRE ATT&CK matrices, detailing Initial Access (e.g., T1190), Execution, Persistence, and C2 techniques.

03. Actionable IOCs

We extract, validate, and publish concrete Indicators of Compromise (SHA-256 hashes, C2 IPs, staging domains, and registry keys) with 1-click clipboard copying for immediate SIEM/EDR ingestion.

04. Detection Rules & Queries

Whenever technically viable, briefs provide validated Sigma Rules (YAML) and live threat hunting queries in Microsoft Sentinel / Defender (KQL) and Splunk (SPL).

AI Intelligence & Human DFIR Collaboration

Our platform takes its name from our hybrid architectural approach:

  • AI Reconnaissance: Our automated threat intelligence crawlers monitor hundreds of vendor security RSS feeds, GitHub exploit repositories, underground advisory channels, and academic disclosure boards in real-time.
  • Technical Structuring & Analysis: Advanced language models assist in rapidly extracting technical parameters, affected software version matrices, and core indicators.
  • Human Verification: Our security analysts review, verify root-cause analysis, and validate detection rules before dispatches receive the VERIFIED INTEL certification.

Editorial Independence & Integrity

CyberNewsAI is completely independent. We do not accept sponsored product reviews, nor do we permit cybersecurity vendors to pay for favorable coverage or altered threat severity scores. Our severity classifications (Critical, High, Medium, Low) are governed strictly by CVSS base metrics, active in-the-wild exploitation evidence, and enterprise blast radius assessments.

Explore Real-Time Threat Intelligence

Browse our dynamic archive of zero-day exploits, ransomware campaigns, and AI security briefs.

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