DAM: 24/7 access governance and activity tracking for cloud data.

Continuous Monitoring of Your Critical Assets

FIM tells you that a file has changed. DSPM tells you whether your bucket is properly configured. DLP tells you what your files contain. But none of these three technologies answers a question that is central to data security: who is accessing your data, and is that access behavior legitimate?

That is precisely the role of Data Access Monitoring (DAM). This technology continuously monitors all access to your cloud storage environments, whether by human users, service accounts, or third-party applications, and builds a baseline of normal behavior for each identity. Any deviation from that baseline, whether caused by a compromised account, a malicious employee, or an incorrectly configured permission, becomes immediately visible.

In today's environment, where stolen credentials remain the leading attack vector and a single S3 access key leaked to a public GitHub repository can give an attacker direct, silent access to terabytes of data, failing to monitor who actually connects to your storage infrastructure is equivalent to leaving the front door unattended, even when the vault itself is locked.

The operational challenge is as follows: in a typical organization, dozens or even hundreds of identities, users, automation scripts, CI/CD pipelines, and partner applications, have legitimate access to some or all S3 buckets. A service account used for overnight backups suddenly begins performing large-scale read operations in the middle of the day.

A developer whose access rights were never revoked after leaving the company continues to log in from abroad. An API key intended for internal use is being used from an IP address belonging to a hosting provider known to host malicious infrastructure.

Taken individually, each of these events may appear harmless; it is their correlation over time and by identity that reveals the warning signs.

tamper's DAM combines several analytical dimensions to assess each access event:

• Identity dimension: who is connecting, with what level of privilege, and does this access align with their usual role?
• Geographic and network dimension: from which IP address, country, and internet service provider is the connection originating, and is this origin consistent with the identity's historical activity?
• Behavioral dimension: does the access pattern, frequency, volume, timing, and type of operation, deviate from the baseline established for this user or service?
• Action dimension: is this a simple read operation, a bulk download, a permission change, or an attempt to systematically enumerate the objects in a bucket, a typical reconnaissance pattern preceding data exfiltration?

This multidimensional approach makes it possible to detect scenarios that static controls will never identify: access that is fully authorized on paper (valid credentials and appropriate permissions) but entirely abnormal in context.

This is precisely the kind of subtle warning sign that characterizes most modern compromises: a legitimate account exhibiting illegitimate behavior. In such attacks, the attacker does not need to “break into” a system; they simply need to impersonate someone who already has the keys.

Beyond intrusion detection, DAM addresses governance and accountability requirements. Being able to reconstruct the complete access history for a given file or bucket over a specific period, who accessed it, when, from where, and for what purpose, is now a core requirement for both post-incident investigations and regulatory audits.

Under NIS2 and DORA, the ability to demonstrate detailed traceability of access to critical systems is no longer optional; it is mandatory. Under the GDPR, being able to prove who accessed personal data and that the access was justified is an integral part of the accountability principle required by the regulation.

For your CISO, DAM transforms an unreadable mass of raw logs into a clear, prioritized, and actionable overview of risky access behaviors. For your SOC teams, it provides the ability to detect a compromise within minutes, one that, without this visibility, might only be discovered after the data has already been leaked.

For your risk management team, the ROI is straightforward: the cost of DAM is negligible compared with the cost of a data exfiltration that goes undetected for weeks because nobody was monitoring who was connecting, from where, and for what purpose.