Threat Intelligence Fusion

Every breach started as signals someone scored as low.
We score them together.

SiftSuite detects toxic combinations — signals that look harmless in isolation but turn critical the moment they correlate. Enterprise-grade fusion at SMB price. Zero analysts required.

SMB  to enterprise 0  headcount Any  feed in
Credential leak SEV · LOW Exec impersonation SEV · LOW VPN file-read SEV · MED Access-for-sale UNSCORED · no victim named Surveillance chatter SEV · LOW TOXIC COMBINATION CRITICAL
The problem.

You're triaging alerts across three platforms. Each one closes at low severity.

A credential dump comes in — low. A doxxing post surfaces — low. A Telegram thread mentions a schedule — unscored. You close each ticket and move on. By the time the threat goes physical, every signal was already there. Nobody connected them.

Why it keeps happening.
"I flagged the credential dump. My colleague flagged the forum post. Nobody put them together. Three weeks later we had an incident — and looking back, it was all there."

That's the pattern. Your tools scored each signal individually and moved on. A credential dump is low severity. A doxxing post is low severity. Surveillance chatter on a dark-web forum is unscored. Together, they're a pre-incident pattern. Separately, they disappear into the noise.

The signals don't converge in one platform. They don't trigger a single alert. They sit in separate tools, separate queues, separate teams — and the window to act closes before anyone draws the line between them.

What's possible.

Imagine your team gets a brief before the threat becomes an event.

The credential dump, the doxxing post, the forum thread — already connected. A single plain-language brief lands in your inbox with a recommended action and time left to take it. The window doesn't close. It opens. And the longer you watch, the sharper the picture gets — signals that would have disappeared into separate queues now compound into earlier warnings, every cycle.

01

Tell us who to protect

Book a 20-minute call. We profile the principals and map every piece of their digital surface that's findable — credentials, household data, property records, data-broker listings.

02

We watch continuously

Dark web forums, breach databases, Telegram channels, ransomware feeds — monitoring starts immediately. Signals are ingested the moment they surface, around the clock.

03

Receive your brief

When signals converge into a pre-incident pattern, your protection team gets a plain-language brief with recommended actions — in the window where it's still preventable.

The solution.

We've seen this pattern before. We built the system to catch it.

SiftSuite isn't another monitoring tool. It's a threat intelligence fusion engine — purpose-built to connect signals across dark web forums, breach databases, open-source intelligence, and Telegram channels that no single vendor can see alone.

We built it because the existing category — feed providers and monitoring services — was never designed to protect people. It was designed to protect networks. The threat moved. The tools didn't.

SiftSuite correlates. When a credential dump, a doxxing post, and a surveillance thread converge on the same person in the same window — you get a brief. Not an alert. A brief. Written for a decision-maker, not a SOC analyst.

Example brief — [Principal redacted] · HIGH confidence · 3 signals
Toxic combination detected. Credential exposure (Snusbase, 48h ago) correlates with doxxing post on BreachForums naming home address + vehicle, and Telegram thread discussing movement patterns. Convergence window: 72 hours. Recommended action: elevate physical security posture, rotate exposed credentials, assess residence exposure.
Built on enterprise-grade CTI infrastructure

Powered by OpenCTI — the same platform used by national CERTs and Fortune 500 security teams.

Autonomous AI correlation agent

Runs 24/7 across every feed. Detects toxic combinations the moment they form — no analyst required.

Dark web + breach + Telegram coverage

Snusbase, Malpedia, MalwareBazaar, Feodo, SSLBL, Ahmia — the sources threat actors actually use.

Briefs built for protection teams

Plain-language executive briefs with recommended actions — not raw indicator dumps.

What's at stake.

Every decision has two futures.

This is what each one looks like.

If you do

You see it coming before it becomes an event.

  • Your team gets a brief in the window where it's preventable — not the morning after the incident.
  • You know the moment credentials appear alongside surveillance chatter — before they converge into action.
  • An attack in the planning stage gets disrupted — because you had correlated intelligence, not just presence.
If you don't

The signals were there. Nobody connected them.

  • The credential dump was low severity. The doxxing post was unscored. The window closed without a brief.
  • The credentials and the chatter were in separate tools. No one drew the line between them in time.
  • After the event, the timeline is obvious. Every signal is visible in hindsight. None of it helped.

See a toxic combination fire in your own data.

A 20-minute demo: we walk a real chain end to end, then point the same engine at a principal and their family.