Finance / Insurance

Digital Resilience and Fraud Detection for Banks and Insurance Companies

Banks and insurance companies are part of critical infrastructure and are particularly attractive targets for cyberattacks. For this reason, financial institutions must increase their digital resilience and remain capable of operating even in the event of cyberattacks, IT outages, or other disruptions. At the same time, regulatory pressure on the industry is growing:

The European Digital Operational Resilience Act (DORA) requires financial institutions to systematically manage their IT risks, implement security measures, and demonstrate the resilience of their digital systems. At the same time, challenges such as cyber fraud and money laundering (Anti-Money Laundering, AML) continue to grow and require powerful technical solutions for detecting suspicious activity.

Fraunhofer SIT supports companies in the financial and insurance sectors in designing their systems and processes securely. Our experts assess the security requirements of IT systems and products, conduct IT security risk analyses, provide consulting on the implementation of regulatory requirements, and develop innovative solutions for greater digital resilience.

In doing so, we combine many years of expertise in IT security, IT forensics, data analysis, and artificial intelligence. Using transparent AI processes and methods that comply with data protection regulations, we help evaluate large volumes of data, detect risks early on, and reliably identify suspicious patterns.

Contact
Prof. Dr. Martin Steinebach
Prof. Dr. Martin Steinebach
Media Security and IT Forensics
Phone +49 6151 869-349
Dr.-Ing. Steven Arzt
Dr.-Ing. Steven Arzt
Secure Software Engineering
Phone +49 6151 869-336
Dr. Jens Heider
Dr. Jens Heider
Testlab Mobile Security
Phone +49 6151 869-233

What We Offer

Conducting IT security risk analyses of existing and planned IT-based systems, such as conceptual security analyses for banking back-ends and apps
Consulting and assessment of IT systems and products with regard to security requirements and regulatory guidelines, particularly DORA
Conducting practical security tests (penetration tests), such as those for banking apps or authorization procedures/TAN procedures
Development of customized methods and tools for detecting fraud and money laundering (AML)
Analysis of large data sets using methods from IT forensics, data analysis, and artificial intelligence
Interdisciplinary collaboration with experts in law, psychology, and economics