Threat Intelligence
Common Threat Intelligence Platform Mistakes and Fixes
Most organisations waste intelligence by failing to map external data to their specific internal asset inventory and detection capabilities.
Threat Intelligence
Threat Intelligence coverage from Cipher Insider holds 17 articles, 17 of them reference guides. The newest was published on October 14, 2026. New stories are added as soon as they are confirmed, from more than 150 sources checked as often as every 45 seconds. Each story lists its sources. Primary sources we follow for this section include FIRST: Forum of Incident Response and Security Teams and MITRE ATT&CK.
Threat Intelligence
Port Scanning Myths: What Attackers Actually Reveal
Port scanning often reveals more about the scanner’s methodology and tooling than the target’s vulnerabilities, shifting the analytical focus to behavioural detection.
Threat Intelligence
Detect DNS Tunneling: Log Analysis and Network Signatures
Standard firewalls often miss DNS tunneling because the traffic uses port 53 and mimics legitimate domain name resolution queries from authorised clients.
Threat Intelligence
Indicators of Compromise: What Small Businesses Need to Know
Small businesses often ignore indicators of compromise because they assume attackers only target large enterprises, leaving them vulnerable to automated scanning and low-effort theft.
Threat Intelligence
Alert Triage and Reporting is the Responsibility of: Who Owns the Noise?
Alert triage and reporting is the responsibility of a distributed chain that moves from automated filtering to human context analysis and finally to operational response.
Threat Intelligence
NTLM Relay Attack Detection: Signs, Tools and Response Steps
NTLM relay attacks succeed because the protocol trusts any server that can replay a hash, making network segmentation and protocol hardening the only reliable defence.
Threat Intelligence
Detection Engineering: How to Build Signals That Catch Threats
Detection engineering shifts focus from passive log collection to actively crafting logic that separates malicious behaviour from the noise of normal operations.
Threat Intelligence
Threat Hunting Checklist: Validate Data, Baseline Noise, and Hunt
Most hunts fail because analysts treat logs as evidence rather than raw telemetry requiring validation before pattern matching.
Threat Intelligence
Privilege Escalation Myths: Why Common Security Beliefs Fail
Most privilege escalation attempts fail not because of advanced defences, but because default configurations remain unhardened and service accounts retain excessive permissions for legacy tasks.
Threat Intelligence
Detecting LSASS Credential Theft: Early Signs and Hidden Indicators
LSASS memory dumping often leaves no file artifacts, forcing defenders to rely on process behaviour and handle access patterns rather than traditional file integrity checks.
Threat Intelligence
Deploy Honeypots: A Step-by-Step Implementation Plan
Honeypots reduce false positives by isolating legitimate traffic from malicious activity, turning silent network noise into actionable intelligence.
Threat Intelligence
Canary Token Mistakes: Why Your Traps Fail and How to Fix Them
Most canary token failures stem from poor placement logic and noisy baseline data, not from sophisticated attacker evasion or broken cryptographic mechanisms.
Threat Intelligence
Hacktivism Myths: Why Political Hacking Is Not What You Think
Hacktivism rarely involves anonymous lone wolves; it often relies on stolen credentials and commercial-grade tools that blur the line between protest and crime.
Threat Intelligence
Small Business Log Management: Practical Setup and Cost Control
Most small teams lose visibility because they store logs but never define what constitutes an alert, turning data into noise.
Threat Intelligence
Canary Tokens: Benefits, Limitations and When to Deploy Them
Canary tokens offer low-cost early warning of data exfiltration or credential compromise by alerting you when an attacker interacts with hidden digital bait.
Threat Intelligence
Attacker Persistence Techniques Explained with Simple Analogies
Attackers use persistence to ensure they remain inside your system even after you restart or change passwords, making detection significantly harder than initial entry.
Threat Intelligence
How Token Theft Works: The Mechanics of Session Hijacking
Attackers rarely crack passwords; they steal the valid session tokens that systems trust implicitly, bypassing authentication checks entirely.