About AdverseMonitor

Exposure monitoring for teams without a threat-intelligence department.

AdverseMonitor tracks publicly posted cyber-incident claims: ransomware and extortion leak-site posts, data-breach and data-leak listings, DDoS, defacement and initial-access offers. The records come from sources including Telegram channels, Tor sites and the open web. When your organisation, domain, industry or country is named, the platform raises a dashboard alert.

One clear job

Find records that name your company or domain in ransomware and dark web sources, then make the evidence reviewable.

Review and delivery

Matches are recorded in the dashboard for review. A person decides what happens next, and the methodology says a record should be validated against the organisation, source context and internal evidence before escalation.

Bounded claims

A mention is an investigation lead, not automatic proof of compromise. Coverage and source claims have limitations, and this site states them.

Why it exists

A focused monitoring product.

Small and lean security teams often need external exposure visibility without buying a broad consulting engagement or operating a separate intelligence stack. AdverseMonitor is packaged as a software subscription for that specific workflow.

The product includes a searchable threat feed, monitoring profiles and alert history. Eligible plans can use the documented read API. Matches are recorded in the dashboard for review.

The plans on this site do not claim to include penetration testing, vulnerability assessment, incident response, a dedicated account manager, or unpublished certification and uptime guarantees.

How matching works

Where the records come from.

A monitoring profile starts with at least one criterion: a company name, domain, industry, country, category or threat actor. Names and domains are the clearest identifiers. The other filters narrow a profile but do not identify a company on their own.

The platform searches the current archive and keeps checking newly collected records. A matched record shows the source title, named actor, observed date, category and source URL where those fields exist. A person decides what happens next; the methodology asks that the record be validated against the organisation, source context and internal evidence before escalation.

Matching is not attribution: a name in a source record does not confirm ownership, compromise or authenticity. A missing result means no match was returned from the available data, not that no exposure exists. AdverseMonitor does not publish a universal collection interval or a complete-source coverage claim. The monitoring methodology documents the workflow and a review checklist.

Editorial standard

How claims are checked and corrected.

The editorial policy states that claims about plans, limits, API behaviour, account flows, matching fields and security controls should be checked against the current production application, configuration or source code. Customer results, certifications, coverage totals, collection intervals and response times are not published unless they can be verified and kept current. External facts cite official documentation, legislation, standards bodies or original research, placed next to the statement they support.

Corrections

Send the page URL, the statement in question and supporting evidence to support@adversemonitor.com. Material errors are corrected and the page date is updated when the content changes. Older educational articles are being reviewed for source quality and unsupported statistics.

Who writes the advisories

Threat Advisory articles, product documentation and research pages are written and reviewed by the AdverseMonitor team under the editorial and corrections policy. When a page does not name an individual author or reviewer, readers should not infer personal credentials that are not shown.

Published data

What the company publishes.

In July 2026 AdverseMonitor released an aggregate study of 29,858 threat-source records collected between January and June 2026. Telegram supplied 50.0% of the records, followed by the open web and Tor. DDoS, data breach and ransomware were the three largest categories. Organisation metadata was incomplete on 56.4% of records, so organisation-level counts are presented as leads for review, not a market total.

The H1 2026 threat data study ships with aggregate CSV and JSON files, SHA-256 checksums and de-identified record snapshots. Its counts describe collected observations, not confirmed incidents.

What you can inspect before buying

Contact

How to reach the team.

General questions go to info@adversemonitor.com or the contact form.

Corrections go to support@adversemonitor.com. Suspected vulnerabilities go to security@adversemonitor.com, following the responsible disclosure guidance.

Validate the first step yourself.

Scan one domain, inspect the output, then decide whether continuous monitoring is useful.