MontBlancAI Use Case

Learn how Mitigant improves the security posture of their Azure infrastructure.
MontBlancAI Use Case

Challenge

MontBlancAI offers a product that automatically detects anomalies and enables deep understanding of infrastructure for machine manufacturers and operators. This allows for improvement of bottom line; including continuous validation of processes, trend prediction and timely recommendations.

To achieve these objectives, MontBlancAI leverages Microsoft Azure cloud infrastructure for several workflows such as collection and analysis of data from factories, machines PLCs and user feedback. MontBlancAI uses several techniques to anonymize the collected data, this prevents data breaches and guards against reputational damage. Clearly, the security of MontBlancAI's Azure infrastructure is critical to ensuring a high standard of data protection.

As MontBlancAI prepared for ISO 27001 certification, they needed a comprehensive security solution that provides continuous visibility into their cloud security posture, particularly for their compute resources running on Azure Container Apps. They required automated monitoring that could integrate seamlessly into their daily operations while supporting compliance across multiple frameworks.

Solution

Mitigant collaborated with the  MontBlancAI team to address the aforementioned security, privacy, and compliance requirements. MontBlancAI's Azure cloud environment was onboarded and analyzed for compliance violations and security issues in less than 10 minutes. MontBlancAI's team was able to complete the process independently, thanks to the intuitive interface.

Mitigant was deployeed alongside Microsoft Defender for Cloud, this dual-platform approach provided comprehensive visibility into Montblanc's infrastructure especially during their preparing for ISO 27001 certification. The results afforded deep visibility into MontBlancAI's resources, enabling them to maintain an asset inventory and receive automated notifications about security findings as part of their daily operations.

MontBlancAI's really liked the multi-framework assessment provided by Mitigant; it provides visibility across several security benchmarks, including HIPAA, Azure Foundational Best Practices, NIST, BSI C5, CIS, and ISO 27001 controls. This multi-framework approach ensured MontBlancAI could track compliance across various standards simultaneously, keeping both data and users more secure.

Result

MontBlancAI took advantage of Mitigant CSPM's assessment reports to improve the security posture of their Azure infrastructure, successfully implementing several security and compliance recommendations. The platform's quick turnaround on improving coverage of cloud resources, particularly their compute resources in Azure Container Apps, delivered an excellent experience and helped them close critical security gaps.

Achieved ISO 27001 Certification
Using Mitigant as their dedicated security posture management system throughout the certification process, MontBlancAI successfully achieved ISO 27001 certification. The comprehensive visibility and continuous compliance monitoring were instrumental in meeting the rigorous certification requirements

Continuous Multi-Framework Compliance
Beyond ISO 27001, MontBlancAI now maintains continuous compliance visibility across multiple frameworks including HIPAA, NIST, BSI C5, and CIS. This multi-framework insight helps them keep data and users more secure while meeting various regulatory requirements without additional overhead.

Automated Daily Security Operations
Given that the assessment automatically runs daily, the MontBlancAI team continuously tracks their cloud security posture. Automated notifications from Mitigant about security findings have become integral to their daily operations, ensuring compliance violations are promptly identified and remediated.

These improvements save over 90% of the time previously required for security and compliance tasks while significantly increasing customer trust in MontBlancAI's ability to protect sensitive manufacturing data.

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