Cybersnap.io Module · Research Intelligence

Detection that keeps learning.

Research Intelligence is Cybersnap's continuous research and update engine. Dynamic filters, scan logic, detection content, statistical models, and YARA-X indicators, tuned to your environment and delivered under your control.

Continuous updates · YARA-X content · Customer context · Review / Approve / Defer
Without continuous research

Detection content ages.

Ransomware techniques, extensions, and behaviors change constantly. Detection logic that only updates with a full product release falls behind the threat between releases, right when it matters.

With Research Intelligence

The engine updates continuously.

Research Intelligence pushes filter, scan-logic, and detection-content updates on an ongoing basis, matched to your environment, with a clear review and approval path before anything is applied.

Continuous updates. Customer context. Your approval.

Research Intelligence is shown to the customer as a layer in the console: what is new, what is relevant to their environment, why the update matters, and what requires approval.

01 / DYNAMIC DETECTION UPDATES
Continuous
Always current

Dynamic Detection Updates

Ongoing updates to filters, scan logic, detection content, statistical models, indicators, and YARA-X content, as capabilities become available in the product.

Update stream
filters scan logic YARA-X indicators statistical models
02 / CUSTOMER CONTEXT
Environment-aware
Relevance, not noise

Customer Context

Every update is matched to your environment: what changed, which environments may be affected, and why the update is relevant, so the console shows signal, not a generic changelog.

Relevance scoring
UPDATE 01
88
UPDATE 02
52
UPDATE 03
21
03 / REVIEW · APPROVE · DEFER
Governed
Customer control

Review / Approve / Defer

Updates that require customer sign-off go through a review mechanism, approve, or defer, in line with your policy and deployment architecture. Nothing is applied silently.

Approval queue

Research proposes. Validation proves. Controlled releases deploy.

New detection content does not reach production untested. Every update moves through the same disciplined path before it is available to approve.

01

Research

Threat research and detection-content development, tracking ransomware families, persistence methods, and indicators as they evolve.

02

Validation

Candidate detection content is tested against known-good and known-bad samples before it is considered for release.

03

Controlled release

Validated updates are packaged and made available to customers, matched to their environment and context.

04

Customer approval

Where policy requires it, the customer reviews, approves, or defers, before the update is applied.

05

Field feedback

Results and false positives observed in the field feed back into ongoing research, closing the loop.

See Research Intelligence in the console.

Book a demo and we will walk through how detection content updates, and how approvals work in your environment.