Loepre GmbH is a Berlin-based cyber-security company founded in 2017. We help organisations understand cyber risk, respond effectively and keep critical operations moving.

Our work combines security architecture, incident response, digital forensics, data intelligence and practical programme improvement. We begin with the customer's existing environment, then connect the people, processes, telemetry and tools needed to make faster, better-informed decisions.

FORENSIC READINESS

Modern incidents often become visible only after the most useful evidence has disappeared. Loepre helps organisations improve evidence preservation, historical reconstruction, chain-of-custody procedures and analyst-led investigation. Advanced architectures may use isolated observation, protected snapshots and time-based analysis where these approaches fit the customer's technical and legal requirements.

AI-ERA RESILIENCE

Artificial intelligence is making phishing, impersonation, reconnaissance and the analysis of stolen data faster and more scalable. It also creates new exposures around AI supply chains, prompt injection, sensitive-data leakage and over-automated decisions. Loepre addresses these risks through identity verification, secure configuration, detection engineering, access control, monitoring, incident preparation and human oversight.

OUR PRINCIPLES

Clarity — Turn complex findings into practical decisions.
Integrity — Be candid about evidence, risk and limitations.
Stewardship — Treat systems and data with care.
Continuity — Protect operations while improving security.
Responsible use — Apply monitoring and investigation only with appropriate authority, governance and privacy safeguards.

SENTIMENT & NARRATIVE ANALYSIS

Analyse authorised text sources—such as customer communications, case material, reports, web content or social media—to identify sentiment, subjectivity, recurring themes and changes over time. Used responsibly, sentiment analysis can help analysts prioritise review, understand emerging concerns and enrich investigations. Results require human interpretation and must not be treated as definitive evidence of intent. Collection and analysis must follow applicable law, privacy requirements and the organisation’s governance policies.