Evidence your auditor checks
An auditor does not accept a promise that logs were never changed. They accept a record that would show a change, and a way to check it that does not depend on the system that produced it.
Audit-ready reports still end in screenshots.
Most tools promise a report for every framework. The auditor still tests whether the evidence is complete and unaltered, and teams fall back on screenshots gathered through IT.
The question is not how many reports a tool ships. It is whether you can show the record is intact.
We show a change. We never promise there was none.
ARRTECH signs and chains every stored log, so a missing or altered file breaks the chain where anyone can see it.
Your auditor checks the record with a standalone tool, without access to your systems, and you decide who reads each source.
Answer the auditor’s next request yourself.
When the auditor names a user and a date, a saved query shared with your role answers it without waiting for IT.
Start with one system in scope and one request. Nothing else has to change.
Audit
Do you have logs from every system in scope?
ARRTECH SIEM collects from firewalls, servers, directories, databases and Microsoft 365, and parses more than 500 log types. An unsupported source gets a parser at no charge under support.
Show me this user’s activity on this date.
A saved ARRTECH SIEM query filters the sources in scope by user and time, and Archive Search runs the same query over archived logs. Share the query and its sources with your role, and you run it yourself.
How do we know nothing is missing?
Each signature file records the previous file’s name and hash, so a missing or altered file breaks the chain. Non-repudiation reports run per source, grouped by day, with faulty files highlighted.
Can we have this in the format our framework needs?
Ready reports cover PCI DSS, HIPAA, GDPR, SOX, NIST and ISO/IEC, and any saved query becomes a report. Reports run on a schedule and arrive by email as PDF, CSV, HTML, DOC or XLSX.
Where is the regulated data?
ARRTECH DLP scans endpoints, file servers and databases for card numbers and IBANs, checked by algorithm, and labels or inventories what it finds. Each decision on a generative-AI upload is recorded with user, device, destination and policy.
Who reviewed this, and is there a record?
Your team. ARRTECH DLP acts only on rules your team sets and can ask a manager before releasing a file. The console audit log records logins, searches and configuration changes, so each search in a review leaves a record.
