Your data outlives every perimeter you build around it.
Walls protect a place; data does not stay in one. We defend information itself, at rest, in motion, and in use, so that what matters remains protected wherever it travels, whoever touches it, and whatever asks for it.
Protect the data itself. Not merely the place it rests.
For three decades, security was conceived as a question of borders: build a strong enough wall, and what lies inside is safe. That assumption quietly expired. Data no longer lives inside a perimeter, it is copied into a colleague’s inbox, synchronized to a personal device, embedded into a vector database, and, increasingly, read and acted upon by autonomous agents that never tire and never sign a confidentiality agreement. The boundary did not move; it dissolved.
One information asset. Three radically different states of exposure.
Protection cannot stop when data leaves a database. It must remain intelligible and enforceable while information moves and while a system is actively using it.
At rest
Sensitive information stays identifiable across stores, copies, and forgotten archives.
In motion
Protection follows information through services, people, integrations, and external paths.
In use
Access remains proportionate when people, applications, models, and autonomous agents read it.
Turn a living map of the data estate into protection engineers can operate.
Data Discovery & Classification
We locate sensitive information across your estate, including the shadow copies and forgotten stores no inventory remembers, and classify it by true sensitivity, so that protection is proportionate to consequence rather than uniform and therefore ineffective.
Access Governance & Least Privilege
We map who and what can reach each class of data, and we close the quiet excess of standing permissions that adversaries inherit the moment a single account is compromised.
Data-in-Use & AI-Era Exposure
We address the newest and least-understood surface: the data exposed when it is used, passed into models, retrieved by agents, embedded into AI pipelines, where traditional encryption offers no protection because the system must read the data to function.
Encryption & Key Discipline
We ensure data is protected at rest and in motion with cryptography that is correctly implemented and, just as critically, with key management that does not silently undermine it.
Continuous Monitoring & Exfiltration Defense
We observe how data behaves, establishing what normal access looks like so the abnormal, the slow exfiltration, the unusual query, the agent acting beyond its mandate, becomes visible while it can still be stopped.
Regulatory Alignment
We align protection with the obligations that govern your data, including the GDPR and the Austrian Data Protection Act, so that compliance becomes a consequence of sound security rather than a separate burden.
Not another inventory. A defensible data position.
A living map of where your sensitive data resides and who can reach it; a classification scheme calibrated to real sensitivity rather than guesswork; a least-privilege access model with the standing excess removed; monitoring tuned to detect abnormal data movement before it becomes loss; and a clear, prioritized remediation path, each recommendation written for the engineers who must implement it and justified for the leaders who must fund it.
- Living data mapSensitive stores, copies, flows, and reachable paths
- Classification modelBusiness consequence translated into enforceable policy
- Access postureStanding privilege reduced to the access the work requires
- Movement controlsAbnormal transfer and use made visible before loss
- Remediation sequencePriorities written for engineers and justified for leaders
Find the sensitive data your perimeter stopped being able to explain.
The first conversation is confidential, and it costs nothing.