How it actually tests. No demo required.
Incenter runs the whole testing loop continuously — with expert operators in the loop for what automation can’t crack — and only ever hands you findings it has already proven real.
Stop running tests as projects. Run one as a living engagement.
Most testing is a one-off snapshot, stale the day it lands. Incenter runs against a continuously updated model of your attack surface, so coverage tracks your environment as it changes instead of expiring on a report date.
Scheduled scanning and validation over a long-lived engagement. Findings release as they are confirmed, fixes re-test automatically, and regressions are caught the moment they reappear.
A fixed start and end: the same rigorous lifecycle, scoped to a defined window when the program or compliance cycle calls for it.
A single assessment can run any combination of disciplines at once:
Six phases, on a continuous loop.
The same phases run for the life of the engagement. The platform carries validated findings all the way to you, and the loop closes back to the start as your surface changes.
Boundaries are defined and formally approved before any traffic is generated. Targets are declared as typed assets (addresses, ranges, domains, web apps, APIs, cloud accounts, mobile builds), each carrying an explicit status: needs review, approved, or denied. Out-of-scope targets and scheduled blackout windows are enforced by the platform, not by trust.
Approved scope is expanded into concrete targets, and everything reachable is enumerated: ports and services, DNS, web and TLS surface, open-source intelligence. It all normalizes into one continuously updated attack-surface graph. New and changed assets are picked up automatically, not at the next annual test.
Confirmed assets feed a tiered scanning engine: light, broad checks first; heavier checks reserved for confirmed services; passive or active as the target allows. Authenticated testing is first-class, so credentials can be attached to assets to test from a logged-in perspective. Raw output is parsed, de-duplicated, enriched, and bridged to known-vulnerability data.
Every finding is exploited safely to confirm it is real before it reaches you. High-confidence results flow straight through to reporting; the genuinely ambiguous or high-impact case is escalated to an operator, who takes it by hand. A flagged-but-unexploitable issue is noise. Incenter only surfaces what it could actually use.
Confirmed findings release as they are validated, not at the end. Each carries full context: impact, remediation, severity and score, reproduction steps, evidence, and standards mappings, with a severity-based SLA stamped on. Optional integrations push issues straight into your own workflow and close them when resolved.
Remediation is tracked from open to applied to remediated. The affected asset is re-checked on the next scheduled scans. A fix auto-confirms after a run of clean scans, and any issue that reappears is flagged as a regression and fed back into the loop.
Automation does the breadth. Operators do the depth.
The lifecycle above is automated by default. But the attacks that matter most live where automation stops. Incenter weaves expert operators into the loop at two points, and the second is what makes the platform get better over time.
Operators take what automation can’t crack
Business-logic abuse. Chained multi-step paths. Novel exploitation, and the judgement call on a target a scanner will only ever guess at. When the automation reaches its limit, a senior operator picks the same target up by hand and keeps going.
Their findings become new automated tests
Every attack an operator proves by hand is written back into the platform as a repeatable, automated check. What took a human once runs continuously forever after. The automation gets sharper with every engagement, and the next environment inherits it.
Every finding is classified, scored, and traceable.
Validated the same way every time, so issues are comparable across assets, over time, and against the frameworks your auditors and your board already speak.
Scored for decisions, not just severity: validated findings carry a confidence rating (tentative, firm, or certain) plus quantitative probability-of-identification, probability-of-exploitation and impact scores. Prioritization reflects what’s actually exploitable, not a raw CVSS list.
Validated, scored, reproducible.
Illustrative excerpt. Real findings carry full reproduction steps and are routed to the owning team automatically, against the SLA policy you configure.