For security teams, IT departments that also own security, and MSPs.
Protoxol ingests telemetry from EDR, NDR, SIEM, email, identity and cloud, correlates it into one timeline per incident and lets you run response playbooks with human approval. Fewer consoles open, fewer duplicate alerts, and an investigation nobody has to rebuild by hand.
EDR
PowerShell behavioral chain blocked on host-42
03:14:09
NDR
Beaconing pattern to 185.220.* — grouped with 3 hosts
03:12:47
MX
Phishing URL sandboxed — user not exposed
03:10:18
Protoxol is a security operations platform that puts ten modules on one data model and one console: EDR, NDR, SIEM and search, threat intelligence, email protection, vulnerability management, asset inventory, credential exposure, response automation and reporting. It is unified, but it is not all-or-nothing: each module can be activated on its own, so you can start with the one you need today (EDR or SIEM, for example) and add the others later on the same console. It runs as EU-hosted SaaS or self-hosted, is priced per protected endpoint by plan, and is operated by the customer or an MSP; it is not a managed service.
A separate SIEM, EDR or XDR each keeps its own data model, query language and console, so an analyst rebuilds context whenever an incident crosses from endpoint to network to email. Protoxol stores every module's events in one schema joined by asset and user, correlates them into a single incident timeline, and runs response playbooks that a person approves by default. Wazuh, Splunk, Elastic, Suricata, Microsoft 365 and Okta feed into it; results leave through webhooks, REST and OTEL.
There are too many tools working in isolation.
In many organizations, investigating an incident means jumping between SIEM, EDR, NDR, email, identity, threat intelligence, ticketing and spreadsheets. Context gets fragmented, alerts duplicate, and response depends too much on the analyst's manual effort.
Protoxol doesn't add another console. It ingests what those tools already produce and works it from one place; modules switch on as they're needed.
Activate only what you need — always working on the same context.
Every Protoxol module runs on its own or alongside the rest. What changes is that all of them share data, entities, signals, cases, playbooks and reporting. An endpoint alert can pull in network, email, identity, threat intelligence and exposure context — without rebuilding the investigation from scratch.
One data model, one event bus, one operational surface. Modules don't ship as separate products — they activate as capabilities on the same plane.
Endpoint telemetry, behavior detection, isolation, containment and response from a unified console.
Read the module spec →Network inspection, anomaly detection, beaconing, lateral movement and correlation with endpoint and identity events.
Read the module spec →Central event store, fast search, KQL-style queries and a path from alerts to underlying technical evidence.
Read the module spec →Automatic enrichment with IOCs, reputation, actors, campaigns and the context needed to prioritize every alert.
Read the module spec →Analysis of phishing, URLs, attachments, BEC and suspicious payloads before they turn into an incident.
Read the module spec →Exposure visibility per asset, prioritization by real risk and focus on vulnerabilities that are actually exploitable.
Read the module spec →Inventory of assets, users, services and exposed surfaces to understand what is affected and why it matters.
Read the module spec →Detection of secrets, leaked tokens, exposed credentials and signs of abuse — before they turn into a compromise.
Read the module spec →Supervised playbooks, traceable actions, approvals, containment and automated response with human oversight.
Read the module spec →Executive and operational reports built from the same data analysts use during their investigations.
Read the module spec →When you connect a new data source or activate a new module, the rest of the platform gains context. Detections become richer, searches pivot better, playbooks act with more information and reports come out with stronger traceability.
Protoxol shares a single data model, a common event bus and a unified operational layer. Adding a module doesn't mean duplicating ingestion, rewriting queries or rebuilding playbooks — it means adding more context to an architecture that is already connected.
Agents and connectors ship telemetry into a single schema. No mapping, no normalization tax later.
POST /v1/ingest
stream: edr.process.exec
host: host-42
pid: 4920Signals that share an actor, an asset or a behavior chain are grouped before they reach an analyst.
match edr.exec ~ ndr.beacon
window: 5m
on: asset.idRisk score blends exposure, exploitability and blast radius. The queue is sorted by real impact.
score = exposure
× exploitability
× blast_radiusPlaybooks act under supervision. Every step is logged, reversible and explained in plain language.
playbook: isolate_host
approve: analyst
audit: onEndpoint, network, email and identity events in the order they happened. Any alert pivots to the raw event behind it.
Every alert arrives with the asset, the user and the related events. The analyst decides without opening another tool.
Alerts from the same attack are merged into one incident before they reach the queue. Fewer duplicate tickets, fewer escalations.
Data hosted in the EU, with an on-premise option when the organization's policy requires it.
What changes for your security team when detection, analysis and response work from the same place.
Most of the time in an incident isn't spent fixing it. It's spent finding out what happened, across four or five tools. Protoxol hands the analyst one incident with the endpoint, network, email and identity events already attached. The first hour goes to containing the threat, not to collecting the evidence.
A single tool only sees its own corner. A strange login, an odd process and a beacon to an unknown IP look harmless one at a time. Protoxol correlates them by user, host and time window. That's how it catches the attacks that slip past a stand-alone EDR or SIEM.
Every incident comes with a timeline: what ran, on which host, which user, what it talked to, in order. You can pivot from any alert to the raw event behind it and back. Nobody has to reconstruct the story from memory, and the write-up is half done when the incident is.
When one attack fires alerts in three tools, you get three tickets. Protoxol groups duplicate and related alerts into a single incident before anyone sees them. Fewer things land in the queue, and the ones that do are worth the analyst's time.
Ten modules, one screen, one login. Endpoint, network, email, vulnerabilities, threat intel and response live in the same interface with the same search. Nobody keeps five tabs open at 3 a.m. trying to remember which console has the answer.
A CVSS score is the same number for every company. Protoxol scores each finding on your exposure, how exploitable it is right now and how far it could spread if used. A critical CVE on an isolated test box drops. A medium one on an internet-facing server rises. The queue reflects your risk.
Playbooks can isolate a host, block a sender or revoke a session in seconds. A person approves before any of that runs, from the same screen. Every step is logged, explained in plain language and reversible with one click. Speed without handing the keys to a script.
Every alert, decision and action is recorded with who did it and when. When the auditor asks how an incident was handled, the answer is one export, not two weeks of pulling logs from separate systems and stitching a timeline together by hand.
You don't have to rip anything out. Protoxol takes logs from Wazuh, Splunk, Elastic, Suricata, Microsoft 365, Okta and more, and sends alerts back out through webhooks, REST and OTEL. Keep your SIEM as system of record, or replace it later. Your call, on your schedule.
Modules turn on when you need them and off when you don't. There's no per-seat licence and no ingest tier waiting to surprise you. The bill follows the endpoints and mailboxes you actually protect, which makes it something you can forecast.
This is what we do with your team between signing and the first detection in production.
Inventory of available telemetry sources (endpoints, network sensors, email, IdP, cloud), what connects first and what stays out of scope. Deliverable: prioritized ingestion plan.
Agent and connector rollout, normalization into the data model and activation of the baseline correlation rules. Deliverable: first alerts grouped by incident.
Rule tuning against the environment's real noise, definition of the priority use cases and of the playbooks with their approval step. Deliverable: documented playbooks, tested on a simulated incident.
Team training on the console, deployment documentation and a review of access and retention. Deliverable: operational runbook and an active support channel.
In 30 minutes we review your telemetry sources and tell you which modules fit and which ones you don't need.
Three reference plans below. Final pricing follows the modules you activate and the volume you protect. There is no per-analyst seat licence.
Because the actual cost depends on the active modules, protected volume, number of endpoints, data retention, required integrations and deployment model. We prefer to prepare a proposal tailored to the customer's real environment instead of showing generic prices that later don't fit operations.
Protoxol can integrate SIEM, EDR, NDR, threat intelligence, URL analysis, email security, incident management, automation, reporting and operational visibility capabilities. The goal is not to add more isolated tools, but to connect detection, analysis and response into a single working surface.
It depends on the case. Protoxol can act as the primary platform or integrate with existing tools, coexisting with environments where SIEM, EDR, SOAR, IdP, log sources or custom connectors are already in place — reducing operational friction and improving the context available to analysts.
Yes. The deployment model follows the customer's needs, compliance requirements, data sensitivity and existing architecture. We evaluate cloud, hybrid or on-premise when the environment calls for it.
That depends on scope. A focused rollout can start with specific modules and priority data sources; a full implementation means defining integrations, retention, use cases, users, permissions and response workflows first. Either way, start with what delivers value from day one and scale from there.
Yes. We can prepare a guided demo or a trial adapted to the customer's use case. The idea is to show Protoxol with real scenarios: detection, investigation, enrichment, prioritization and response — not just static screens or a sales presentation.
Protoxol is built for organizations that need to improve their cybersecurity operations: companies with an in-house SOC, IT teams with security responsibility, MSSPs, industrial environments, organizations with compliance requirements, or businesses that want to move from fragmented security to a more unified operation.
Privacy, data control and traceability are part of the platform's design. Protoxol aims to deliver operational visibility without losing control over sensitive information. The specific storage, retention and deployment model is defined based on the customer's technical and regulatory needs.
No. Protoxol is modular — start with specific capabilities and grow from there. That works for organizations with a mature security operation and for companies that just need to consolidate tools and get better at detection and response.
Yes. We support the configuration, integration and rollout process so the platform adapts to the customer's real environment. We can also help define use cases, data sources, detection priorities and operational workflows.
Thirty-minute walkthrough on the modules that fit your environment. No slides. No sales pitch. Just the console.