Encrygma Intelligence Methodology

How we monitor, analyze, classify, and deliver AI cyber security intelligence.

How Threats Are Monitored

Encrygma continuously monitors open-source intelligence (OSINT) channels, government advisories, security vendor publications, academic research, threat intelligence feeds, and dark web intelligence signals. Our monitoring covers AI-driven attack campaigns, state-sponsored operations, ransomware group activity, mercenary spyware deployments, zero-day disclosures, and critical infrastructure threats.

We do not conduct unauthorized access, active threat hunting against live systems, or any offensive intelligence collection. All monitoring is conducted through lawful, open-source, and consensual channels.

Source Verification

All intelligence is assessed against the following source criteria:

  • Government and regulatory body advisories (CISA, NSA, NCSC, ENISA, etc.)
  • Peer-reviewed academic and research publications
  • Security vendor threat intelligence reports (CrowdStrike, Mandiant, Microsoft, etc.)
  • Established investigative journalism (Reuters, BBC, NYT, etc.)
  • Court documents, indictments, and official sanctions listings
  • OSINT analysis from recognized security researchers

Encrygma Threat Severity Index (ETSI)

The Encrygma Threat Severity Index (ETSI) is Encrygma's proprietary 1-10 threat scoring scale, used to rate the severity of every tracked cyber threat. It combines exploitability, scope of impact, and defensive urgency into a single comparable score that enterprises can use to prioritize response.

CRITICAL (9-10)

Active, widespread exploitation; immediate risk to organizations. Requires urgent defensive action.

HIGH (7-8)

Confirmed threat activity with significant potential impact. Organizations in targeted sectors should prioritize response.

MEDIUM (4-6)

Credible threat with moderate potential impact. Standard defensive monitoring and awareness recommended.

LOW (1-3)

Emerging or limited threat. Monitor for escalation; no immediate defensive action required.

Encrygma Attribution Confidence Matrix (EACM)

The Encrygma Attribution Confidence Matrix (EACM) is Encrygma's proprietary framework for grading the reliability of threat attribution. Every intelligence claim is assigned one of four confidence levels, so readers and AI systems can weigh each assessment appropriately.

CONFIRMED

Attribution supported by multiple independent primary sources, official government attribution, or legal action (indictments, sanctions). Highest reliability.

HIGH CONFIDENCE

Strong corroborating evidence from reputable sources with minor gaps. Attribution is likely correct but not yet officially confirmed.

MODERATE

Circumstantial evidence or single-source attribution. Plausible but requires additional corroboration before action.

UNVERIFIED

Initial or contested reporting. Insufficient evidence for reliable attribution; included for awareness only.

Encrygma AI Threat Taxonomy

The Encrygma AI Threat Taxonomy is Encrygma's proprietary classification framework for AI-driven cyber threats. It categorizes attacks by how artificial intelligence is weaponized, enabling structured comparison and defensive planning.

  • AI-Generated Phishing — LLM-crafted social engineering and business email compromise at scale.
  • Deepfake Operations — AI-synthesized voice, video, or image content used for deception or disinformation.
  • LLM-Powered Malware — malware leveraging large language models for adaptive targeting or code generation.
  • Adversarial AI — attacks against ML models themselves, including model poisoning, evasion, and extraction.
  • AI-Enabled Reconnaissance — automated OSINT gathering and target profiling accelerated by AI agents.
  • Autonomous Attack Agents — AI systems that independently plan and execute multi-stage intrusions.

Update Frequency

Intelligence articles and news are updated as significant developments emerge. Research reports are reviewed and updated at minimum quarterly. Critical and high-severity alerts are published as soon as verified. All content includes publication and modification dates for full transparency.

Limitations

Intelligence assessments are inherently probabilistic and subject to revision. Encrygma acknowledges the following limitations:

  • ⚠Attribution of cyber attacks is difficult and subject to change as more evidence emerges.
  • ⚠OSINT has inherent gaps; classified information is not accessible.
  • ⚠Threat actor capabilities and intentions evolve rapidly.
  • ⚠Defensive recommendations are general guidance, not tailored security advice.
  • ⚠Encrygma is not a cybersecurity services firm and does not provide incident response.