Collects and contextualizes threat intelligence relevant to your organization, across public and less-visible sources.
Threat intelligence & relevance
Every feed screams. SYNTRA™ tells you what actually applies to you.
SYNTRA™ — Signal Synthesis & Threat Relevance Analysis — is the context engine behind RixIntel™, turning broad threat information into organization-relevant security context across the CNIS™ platform, without asking your team to treat every intelligence item as equally important.
Tap to pulse
ENGINE SYNTRA™
SOURCES 8 LIVE
STATUS CORRELATING
Relevant
Reviewing
Filtered noise
142Threat items screened
38Sources correlated
3Escalated this cycle
0–100TRI scale, evidence-weighted
Not another feed
Relevance that runs, not a firehose that overwhelms
Threat correlation builds a hypothesis about what's actually relevant — pulled from public advisories, sector chatter, and deep/dark web mentions across the CNIS™ platform. Relevance scoring, run by the SYNTRA™ engine, confirms or filters noise, scoped to your organization's context.
Every threat item that survives correlation gets a source, a confidence weight, and a place in the evidence graph — never a bare severity label with nothing behind it.
CNIS™ architecture
SYNTRA™ speaks the same language as the rest of CNIS™
Every module — SYNTRA™ included — moves evidence through the same three-stage framework before it reaches a decision-maker.
S
Signals
Threat items across surface, deep, and dark web sources — advisories, chatter, and mentions with unclear relevance.
→S
Scenarios
Signals resolved into the single most material threat pattern — not a flat feed of unrelated mentions.
→I
Intelligence
A structured TRI result your team — and the rest of CNIS™ — can act on directly.
// SIGNALS → SCENARIOS → INTELLIGENCE — the SSI framework CyberNeurix Pulse runs across cybersecurity and neurotechnology alike.
Where the signal comes from
Threat context, read in layers
Broad threat information rarely sits in one place. SYNTRA™ reads across visibility layers and asks the same question of each: does this actually apply to your organization?
Surface web
Public advisories, vendor bulletins, and open reporting — the noisy top layer most feeds stop at.
Deep web
Forums, paste sites, and access points not indexed by search engines — visible if you know where to read.
Dark web
Marketplace and leak-site chatter, read for organizational relevance — not just presence or mention count.
Sector signal
Campaign and sector-targeting patterns that change how a generic threat applies to you specifically.
Reading the layers
What a SYNTRA™ analytics view looks like
A representative look at the kind of deep and dark web signal SYNTRA™ works with before relevance scoring — illustrative panels in the same format your team would see, not a live customer feed.
Dark web mention volume
Illustrative▲ 64% vs prior 30 days
Sector-tagged mentions, dark web + deep web sources
Exposure by layer
Illustrative
Surface — 22%
Deep — 31%
Dark — 28%
Sector — 19%
Screened-item mix, current correlation cycle
Leak & marketplace activity
IllustrativeCorrelated against common attack-lifecycle stages, where evidence supports it
Recon→
Initial access→
Execution→
C2→
Exfiltration→
Impact
// Figures and charts on this page are illustrative examples of SYNTRA™'s output format for evaluation purposes — not live customer or organizational data.
Product
Of everything happening out there, what actually applies to us?
Not another threat feed. SYNTRA™ turns broad threat information into organization-relevant security context, without asking your team to treat every intelligence item as equally important.
Collect
Distinguish
Helps distinguish relevant threat information from broad external noise, instead of surfacing every item equally.
Contextualize
Provides structured threat context for security operations and leadership — not a raw feed to triage manually.
Feed CNIS™
Feeds threat context into CNIS™ without requiring the customer to treat every intelligence item as equally important.
Why it matters
Volume is not the same thing as relevance
- Threat teams can receive more intelligence than they can operationally evaluate.
- Generic threat feeds do not automatically explain why a threat matters to one organization.
- Leadership needs threat context that can connect to the organization's broader risk picture.
- Organization-relevance as the product focus, not feed volume.
- Contextual threat intelligence rather than feed volume as the headline.
- Designed to complement SIEM/SOC workflows instead of replacing them.
- Native place in the CNIS™ evidence and decision chain.
Measurement & output
TRI — an honest band, not false precision
This page describes what the band means and how teams read it. What sits behind it — the relevance model, evidence-class weighting, and calibration — is deliberately not published.
Illustrative readout
Threat Relevance Index
Low relevanceHigh relevance
Shape only — no real scoring, thresholds, or calibration data shown.
A relevance band with its evidence class attached, so sector-level inference never presents like confirmed exploitation of your own technology.
A clear separation between what SYNTRA™ assessed as relevant and what your team escalates. Structured for a human reviewer and for the next engine in the chain.
Competitive landscape
Where SYNTRA™ sits, and what it defends
A capability-level view based on public 2026 market sources. Not a claim of feature parity with every platform listed — a statement of category boundary.
| Market alternative | Category | Typical strength | CNIS™ distinction |
|---|---|---|---|
| Recorded Future | Premium finished intelligence | Broad intelligence coverage, finished analysis and operational integrations. | SYNTRA™ is positioned as organization-specific threat relevance inside a broader CNIS™ evidence model, not as a replacement for a global intelligence provider. |
| Google Threat Intelligence / Mandiant | Premium intelligence + platform | Threat research, intelligence and ecosystem integration. | SYNTRA™ focuses its value on contextual relevance to the customer's security picture rather than competing on global intelligence scale. |
| Anomali | TIP / aggregation and operationalization | Threat data aggregation, enrichment and security integrations. | SYNTRA™ differentiates around the relevance layer and CNIS™ context rather than being a general-purpose intelligence aggregation workbench. |
| ThreatConnect / Cyware | TIP / orchestration | Centralized intelligence management and operationalization. | SYNTRA™ is deliberately product-focused: relevance and context first, with federation through CNIS™. |
Market landscape reviewed: CIOPages Threat Intelligence Platform buyer guide (June 2026); PeerSpot TIP comparisons (2026); Cybersecify 2026 TIP landscape.
Differentiation strategy
Judge relevance. Don't try to become the feed.
Threat intelligence products tend to compete on how much they ingest. SYNTRA™ competes on what it is willing to discard. The value is in the filter, not the firehose — and the filter only works because it can see your estate through the rest of CNIS™.
Where SYNTRA™ competes
- Organization-relevance as the product focus, not feed volume.
- Contextual threat intelligence rather than feed volume as the headline.
- Designed to complement SIEM/SOC workflows instead of replacing them.
- Native place in the CNIS™ evidence and decision chain.
Where it deliberately doesn't
Do not position this product as a universal replacement for SIEM, enterprise GRC, global threat intelligence, vulnerability management, or broad enterprise risk software.
The strategy is specialization plus composition. SYNTRA™ is not a feed and does not want to be one — it is the layer that decides which feed items deserve your team's attention.
CNIS™ architecture position
Where SYNTRA™ sits in the pipeline
Input
Evidence & sources
Approved, product-specific evidence across the CNIS™ platform
→
RixIntel™
SYNTRA™
Domain analysis → TRI
→
Output
CNIS™
Structured intelligence for wider security context
Use cases
What threat teams actually do with it
Baseline
Establish an evidence-based baseline for threat intelligence & relevance.
Investigate
Establish whether a named campaign or CVE has any bearing on the estate before the escalation call.
Report
Answer "are we affected by this one?" with evidence, on the day it is asked.
Connect
Weight SPECTRA™'s exposure findings by real-world threat relevance instead of severity alone.
Buyer profile
Bought when the team stops reading the intel
The buyer usually already pays for two or three feeds. The problem is that nobody has time to determine which advisory touches their technology, so the whole channel gets ignored — and the one that mattered gets ignored with it.
Can RixIntel™ give us a clearer view of our threat intelligence & relevance position?
Can we tell which advisories touch technology we actually run?
When a feed goes quiet, will we know it is an evidence gap and not an all-clear?
Can we start with the feeds we already license, rather than buying new ones?
Know which threats actually apply to you
A live demonstration walks through a realistic input, the RixIntel™ workflow, the resulting TRI, supporting context, and the decision it supports.