Most organizations don't have a full picture of what's connected to them: forgotten subdomains, unlisted APIs, shadow vendors. ThingsRecon finds them through continuous, agentless scanning, extending attack surface discovery and third-party risk management by showing how closely each one is tied to your business.
The question every CISO asks when something breaks: “How are we impacted?”
ThingsRecon answers it in minutes. Your living map of exposure exists before the incident does.
the problem
Risk lives in the connections no one documented: the digital threads running from a compromised supplier directly into your infrastructure. Every existing tool starts from what you already know. None of them find what you don't.
how it works
Start with agentless discovery across your footprint: domains, IPs, APIs, shadow infrastructure, and every supplier connection attached to them. Layer in Digital Proximity (Patent Pending) to measure how close each risk sits to your core systems. Add AI-driven business, financial, and geopolitical context signals. The result is a ranked picture of real risk, not a list of vendor ratings.
ThingsRecon scans from the outside in. It finds domains, IPs, APIs, shadow applications, and supplier connections, consistently uncovering 3x more active connections than appear on any official vendor list.
Every discovered connection gets a proximity measurement. Suppliers embedded deep in your infrastructure score higher, so instead of a flat vendor list, you get a topology that reflects how an attacker would actually move.
150+ signals per supplier node across technical, business, financial, and geopolitical. AI correlates live exposure with that context continuously, so when a supplier is breached, you know within minutes how it touches you.
attack surface discovery
No manual input, no vendor register upload. Every connection we surface gets a risk score, a proximity rating, and a full inventory.
supply chain intelligence
Every other tool asks: how secure is this vendor? We ask: how deep do they reach? A vendor with a B score sitting close to your core systems is more dangerous than an F-scored vendor with no digital path to anything critical. Digital Proximity is the measure that matters when an incident happens.
Intelligence layer
The Digital Proximity score you see is the output. What builds it is a continuous enrichment layer, scanning technical findings, business intelligence, and external threat signals in parallel, so the picture updates as your supply chain does.
Classic detections cover the technical surface: DNS misconfigurations, expired certificates, weak TLS, software risk. AI-assisted findings go further into ownership changes, geopolitical exposure, sanctions signals, financial distress. Contextual intelligence that doesn't show up in a traditional scan.
Every finding comes with evidence of what was detected, how it's connected, and what to do about it. Not a dashboard to interpret. An answer you can act on.
Conversational Intelligence
Most platforms show you a dashboard and leave you to interpret it. ThingsRecon lets you talk to your supply chain data directly. Ask questions in plain language and get answers drawn from your live supplier map, into a simple chat.
Questions your data can actually answer
Ask questions like “Which of my suppliers have open vulnerabilities right now?” or “How exposed am I to this news event?” and get answers grounded in your live supply chain data — not a generic AI response.
Proactive monitoring and remediation
ThingsRecon doesn’t wait for you to ask. When a relevant incident breaks, it surfaces affected suppliers automatically and tells you the blast radius before you’ve even opened the platform.
Interprets, prioritizes, recommends
Not just data retrieval — the AI layer interprets findings, ranks them by actual risk impact, and recommends the next best action. So your team acts on what matters, not everything at once.
Give us your domain and we'll map the suppliers, dependencies, APIs, scripts, and external connections linked to your organization. Most teams discover something they didn't know was there.
Certifications, breach history, attack surface, data residency, assessed in minutes. Full exposure picture before the contract is signed.
Continuous drift detection: new subdomains, expired TLS, vulnerable components, shadow IT. Alerts fire when risk posture changes.
Find the vendors you don't know about: APIs, SaaS, agencies interacting with your systems. Typically 3x more than documented.
Outside-in target hygiene snapshot: legacy tech, exposed data, vendor inheritance, financial red flags, adverse news, before you sign.
Identify impacted systems and exposed entry points. Locate forgotten assets, stale DNS, exposed admin panels. Contain fast with evidence.
NIS2, DORA, AI Act, continuous evidence of supply chain security posture. Defensible, audit-ready reporting for boards and regulators.
integrations
Plug discovery intelligence directly into the tools your team already uses via API, webhook, or native integration.
We were surprised by the level of ‘things’ discovered—far greater than any other solution we have used or tested.
ThingsRecon helps Northumbria NHS focus our security approach based on evidenced exposure. And they have worked with our team really closely to quickly prioritise and address our most important exposures.
Simon Sleightholm
Information Assurance & Security Manager
|
Northumbria Healthcare
I've seen a lot of platforms promise visibility and deliver dashboards. ThingsRecon is different because it tells you not just what it found, but also how it found it and the recommended remediation steps.
For someone who's spent 20+ years in security, that level of transparency is the difference between something you can act on and something that is simply a compliance box tick."
David Cahill
Enterprise Security Architecture
|
An Post
thingsrecon scale
+
Internet-facing applications mapped
Organizations onboarded
to full visibility
+
Intelligence signals
per supplier node
GLOBAL INTELLIGENCE
Critical infrastructure operates at national scale. Its exposure has to be measured the same way. ThingsRecon works with governments and national agencies to map supplier risk across entire sectors — energy, finance, healthcare, telecoms — giving security teams and regulators a shared picture of what's connected, and what's exposed.
Everything you need to know about ThingsRecon.
ThingsRecon maps the external digital ecosystem around an organisation. It discovers internet-facing assets, supplier connections and indirect dependencies using externally observable evidence, then continuously monitors how that surface changes. The platform combines Attack Surface Discovery with Supply Chain Intelligence, so teams can see both what is exposed and which relationships matter most to the business. Digital Proximity, ThingsRecon’s patent-pending metric, measures how closely suppliers and assets connect to critical systems. This adds relationship context to technical findings and helps teams prioritise beyond generic severity scores. Discovery is agentless and non-intrusive, with evidence attached to findings so security, risk and resilience teams can validate what was found and act with confidence.
ThingsRecon validates findings by correlating evidence from multiple external sources and discovery methods rather than relying on a single signal. Assets and relationships are checked for consistency, attribution and relevance, and the platform preserves observable evidence such as DNS records, certificates, headers, technologies or connection paths that explain why a finding was produced. Automated validation reduces noise, but human review remains important for ownership, business criticality and ambiguous supplier relationships. Confidence scoring helps teams distinguish strongly supported findings from those requiring further investigation. This combination gives practitioners a defensible starting point for remediation, supplier engagement and audit reporting without presenting every automated observation as unquestionable fact.
ThingsRecon confidence scores indicate how strongly the available evidence supports a discovered asset, supplier attribution or relationship. The platform evaluates the number, quality and consistency of observable signals, then uses that context to show which findings are well supported and which may need additional validation. A confidence score is different from a cyber-risk score. Confidence describes certainty in the data or relationship; risk describes the potential security or business impact. Keeping those concepts separate helps teams avoid overreacting to weak evidence and prevents a highly confident but low-impact finding from being treated as critical. Reviewers can inspect the underlying evidence and add organisational context before acting. In practice, teams should record the supporting evidence, confirm ownership and business criticality, and connect the finding to an accountable workflow. This prevents a useful observation from becoming another isolated score or dashboard alert.
ThingsRecon uses specialised AI-driven processes to analyse and enrich large volumes of external technical and business data. These processes help correlate assets, attribute suppliers, interpret evidence, enrich findings with financial, geopolitical, compliance and open-source intelligence, and identify changes that deserve attention. AI supports the workflow; it does not replace evidence. Findings are linked to observable signals and assigned confidence context so practitioners can understand why a conclusion was reached. This matters in supply chain risk, where an unsupported automated label can create more work than it removes. ThingsRecon uses AI to accelerate discovery and analysis while keeping the output reviewable and actionable for security and risk teams. In practice, teams should record the supporting evidence, confirm ownership and business criticality, and connect the finding to an accountable workflow. This prevents a useful observation from becoming another isolated score or dashboard alert.
ThingsRecon supports data residency in Europe and North America, allowing organisations to align the service with regional compliance, sovereignty and procurement requirements. The platform performs external discovery from multiple geographic vantage points while keeping customer data within the selected operating region where the service configuration supports it. Data residency should be evaluated alongside data classification, contractual terms, subprocessors, retention and access controls. Organisations with specific regulatory or national requirements should confirm the applicable region and processing arrangements during procurement. Geo-located scanning and data residency solve different problems: scanning location improves visibility of region-dependent exposure, while residency governs where customer data is processed or stored.
ThingsRecon supports evidence and visibility needs associated with regulations and frameworks including DORA, NIS2 and SEC cyber incident reporting requirements. It helps organisations maintain external asset visibility, monitor supplier exposure, map digital dependencies and produce evidence-based reports that can support risk management and audit processes. A technology platform does not make an organisation compliant by itself. Regulatory obligations also require governance, ownership, policies, testing, incident processes and documented decisions. ThingsRecon contributes continuous external evidence and relationship context that teams can use within those broader programmes. The exact mapping should be reviewed against the organisation’s sector, jurisdiction and legal interpretation. In practice, teams should record the supporting evidence, confirm ownership and business criticality, and connect the finding to an accountable workflow. This prevents a useful observation from becoming another isolated score or dashboard alert.
ThingsRecon uses tailored pricing because the required discovery and monitoring scope varies by organisation. Cost is influenced by factors such as the number of domains, suppliers, scan frequency, reporting needs and selected platform capabilities. There is no single public price that accurately represents every deployment. For a useful quote, organisations should define the external footprint they want to assess, the suppliers they need to monitor and how frequently changes should be detected. A sample scan or snapshot can help establish the likely scope before procurement. Comparing providers only on licence price can be misleading when discovery depth, evidence quality and monitoring coverage differ substantially. In practice, teams should record the supporting evidence, confirm ownership and business criticality, and connect the finding to an accountable workflow. This prevents a useful observation from becoming another isolated score or dashboard alert.
ThingsRecon is designed for security, third-party risk, resilience and governance teams that need a clearer view of external assets and digital supplier relationships. Typical users include CISOs, attack surface and vulnerability teams, TPRM leaders, security architects, incident responders and organisations responsible for critical infrastructure or complex supplier ecosystems. The platform is most relevant when existing inventories, questionnaires or ratings leave important questions unanswered: what is actually exposed, which suppliers are connected, what dependencies are missing and which relationships could create the greatest impact. It can complement existing EASM, GRC, SIEM, SOAR and TPRM processes by adding continuous external evidence and Digital Proximity. In practice, teams should record the supporting evidence, confirm ownership and business criticality, and connect the finding to an accountable workflow. This prevents a useful observation from becoming another isolated score or dashboard alert.
