Resources

Intelligence.
Knowledge. Proof.

Threat intelligence, product deep-dives, compliance guides, and real customer outcomes — everything you need to understand and defend your environment.

Threat Intelligence

Security Alerts

Real-time advisories and active threat bulletins

Furix AI monitors the global threat landscape 24/7 and publishes actionable security advisories the moment a new vulnerability, active exploit, or nation-state campaign is confirmed. No noise — only threats verified to affect your stack.

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CVE-2024-3094 · XZ Utils BackdoorCRITICAL · Supply chain

Malicious code injected into liblzma allows authentication bypass on affected Linux distributions. Patch immediately.

Palo Alto PAN-OS Auth BypassHIGH · Firewall

Unauthenticated RCE via the management interface on PAN-OS < 10.2.9-h1. Active exploitation confirmed in the wild.

Microsoft Exchange ProxyLogon ChainCRITICAL · Email

Four-vulnerability chain enabling pre-auth RCE. IOCs and YARA rules included for detection.

Ivanti Connect Secure Zero-DayCRITICAL · VPN

Heap overflow in Ivanti ICS before 22.7R2.5 allows unauthenticated code execution on the appliance.

Annual Research

Global Threat Report

Annual attack landscape and emerging risk analysis

Our research team analyses billions of events across the Furix customer base to produce the definitive annual view of the threat landscape — attack vectors, dwell times, industry targeting patterns, and the AI-driven techniques defenders must understand.

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Ransomware Dwell TimeAvg. 9 days in 2024

Attackers spend an average of 9 days inside a network before deploying ransomware — down from 21 days in 2022.

AI-Assisted Phishing+340% YoY

LLM-generated spear-phishing bypasses traditional email filters at 3× the rate of template-based attacks.

Cloud Misconfiguration Exploits#1 initial access vector

Exposed S3 buckets, overly permissive IAM roles, and public APIs remain the most common initial access path.

Supply Chain Compromise+180% in critical sectors

Finance and healthcare face a 180% increase in software supply chain attacks targeting build pipelines.

Product Tour

How Your Data Flows

Follow one event from raw log to risk verdict — step by step

50,000 events arrive every day. In under one second each, Furix AI verifies, sorts, translates, stores, scores, and surfaces only what matters. Walk through all eight stages — from your firewall's raw syslog to the analyst's plain-English alert.

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Stage 1–2 · Ingress & VerificationTLS 1.3 · Correlation ID assigned

Every connection is authenticated before a single byte is processed. Source IP verified, message stamped, bouncer analogy.

Stage 3–4 · Sort & Queue400+ device types · 48-hr retention

Device fingerprinted in milliseconds. Message routed to the correct normalisation lane. Kafka queue guarantees zero data loss.

Stage 5–6 · Normalise & EnrichUniversal schema · Geo + asset + TI

Cisco's '6', Palo Alto's 'deny', and Windows Event 4625 become one format, enriched with geolocation and threat reputation.

Stage 7–8 · Score & Surface0–100 risk score · ~3 HIGH/50 K events

90% deterministic rules + 10% AI. Plain-English reasoning attached. Only genuinely HIGH events reach the analyst queue.

AI & Security

AI Security Hub

How AI is reshaping modern security operations

AI is both the most powerful defensive tool available and the fastest-evolving attack surface. The Furix AI Security Hub covers how defenders are deploying LLMs, how attackers are weaponising them, and what that means for your security programme.

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LLMs in the SOCAnalyst augmentation

How Furix AI uses large language models to write plain-English explanations for every detection — reducing analyst cognitive load by 60%.

AI-Powered AdversariesEmerging threat class

From AI-generated malware to autonomous exploit development — the attack capabilities defenders must prepare for in 2025.

Prompt Injection & Model TheftLLM-specific attacks

A technical deep-dive into attacks targeting AI systems themselves — and how to harden your AI deployments.

Responsible AI in SecurityGovernance & explainability

Why Furix AI uses 90% deterministic rules: auditability, regulatory compliance, and trust in automated decisions.

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