ARGUS
Cross-Domain Intelligence Synthesis
Technical CTI is mature. But 70–80% of breach impact traces to human error—and existing tools focus on the "what," rarely the "why."
ARGUS treats behavioral science, digital sociology, and geopolitical context as first-class intelligence domains—synthesized via zero-data-retention RAG with mandatory source attribution.
The "Context Gap" in Threat Intelligence
Enterprise platforms excel at telemetry graphs and IOC aggregation. But they don't systematically map technical indicators to cognitive vulnerabilities, organizational failure modes, or strategic geopolitical drivers. ARGUS fills that gap.
Traditional CTI
IOCs, malware hashes, vulnerability feeds—necessary but insufficient alone.
ARGUS Synthesis
Technical + behavioral + sociological + geopolitical domains woven into coherent narrative.
Premium Platforms
Six-figure contracts, enterprise-only—inaccessible to researchers and journalists.
Cross-Domain Narrative Synthesis
Not a red/green executive dashboard. Deep analysis for professionals who need to understand why threats emerge and succeed.
Security Researchers
Deep, cross-domain analysis connecting technical artifacts to human and structural drivers.
CISOs & CTOs
Strategic context for threat briefings—not just IOC lists, but adversary reasoning and organizational risk.
Investigative Journalists
Source-attributed synthesis without exposing research queries. Privacy-first intelligence for sensitive stories.
Five Domains, One Synthesis
ARGUS ingests and correlates data across technical, behavioral, sociological, geopolitical, and open-source intelligence layers.
Technical Threat Intelligence
IOCs, CVEs, and ATT&CK mappings from standards-aligned feeds (STIX/TAXII, MISP, CISA AIS patterns).
Behavioral Science
Cognitive biases, decision heuristics, and psychological exploitation vectors grounded in academic research.
Digital Sociology
Organizational culture, cybercrime ecosystems, and institutional failure patterns.
Geopolitical Context
Nation-state doctrines, crisis-driven targeting shifts, and strategic adversary motivations.
Open-Source Intelligence
Curated OSINT and open-access academic metadata (OpenAlex CC0, Semantic Scholar, arXiv).
Zero-Data-Retention RAG
Your queries are processed entirely in-memory and destroyed post-generation. The corpus is built from public and licensed material only—no user data ever enters the model training pipeline.
Zero-Data-Retention
Queries processed entirely in-memory and destroyed post-generation. Your research stays yours.
Source Attribution
Every synthesis includes citations to source chunks. No fabrication—if evidence isn't found, ARGUS says so.
No Training on Queries
Your queries never train models. Enterprise-grade API usage with explicit opt-out from model training.
{
"query": "Why did APT29 shift...",
"synthesis": {
"narrative": "Post-sanctions...",
"citations": [
{
"source": "CISA AA24-038A",
"chunk_id": "volt-typhoon-3",
"confidence": 0.94
},
{
"source": "OpenAlex/psychology",
"chunk_id": "cognitive-bias-12",
"confidence": 0.89
}
],
"domains_used": [
"technical",
"geopolitical",
"behavioral"
]
},
"data_retained": false
}The Human Machinery Behind Cyber Attacks
ARGUS synthesizes peer-reviewed research, institutional reports, and threat intelligence to surface the interconnected human and structural forces driving the threat landscape.
Threat Actor Psychology
From nation-state operators to cybercriminals to hacktivists—motivations span strategic duty, Dark Triad personality traits, and moral disengagement. Understanding the "why" behind attacks enables predictive defense.
Cybercrime as Organized Systems
RaaS ecosystems operate as franchise enterprises with HR, performance reviews, and specialized roles. The Conti and I-Soon leaks reveal corporate structures behind criminal operations.
Why Defenders Fail
Cognitive biases (present bias, omission bias, diffusion of responsibility) compound into patching failures and phishing susceptibility. Security expertise does not protect against these systematic blind spots.
Geopolitics Shapes the Landscape
Cyber campaigns synchronize with kinetic operations. Iranian targeting doubled after sanctions; China's Volt Typhoon pre-positions for Taiwan contingencies. Technical telemetry alone misses strategic context.
Institutional Failure Patterns
CISO tenure averages 18–26 months. Compliance certifications show no correlation with breach reduction. Psychological safety determines whether warnings reach decision-makers.
Cross-Domain Feedback Loops
Geopolitical pressure shapes manipulation tactics. Successful attacks fund the next generation of threats. No single-domain intervention suffices—ARGUS is designed for multi-domain synthesis.
Synthesis draws on peer-reviewed and institutional sources; ARGUS surfaces citations per chunk when live.
Technical Stack
ARGUS is currently in concept phase. The following architecture is planned—not yet deployed.
| Layer | Technology | Status |
|---|---|---|
| API | FastAPI + Ed25519 authentication | Planned |
| Synthesis | RAG with grounded prompting + groundedness scoring | Planned |
| Vector Store | PostgreSQL + pgvector (or Qdrant) | Planned |
| Ingestion | Airflow orchestration, STIX/TAXII clients | Planned |
| Corpus | Open-access metadata + licensed academic abstracts | Planned |
Trust & Compliance Posture
ARGUS is a software research tool, not a licensed private investigation agency. We do not provide bespoke human-led investigations.
- Zero-data-retention minimizes liability exposure for sensitive analyst queries.
- Corpus ingestion uses open-access sources (CC0) or metadata-only from restricted publishers.
- Darknet intelligence (if any) sourced from vetted third-party feeds only—no direct scraping.
- Infrastructure alignment with NIST CSF is a future audit goal, not a current certification claim.
Interventions in One Domain Are Insufficient
ARGUS is designed to connect technical evidence to human and structural context—because the threat is human at every level, and so must be the response.
Concept phase. Architecture and research validate direction—product not yet deployed.