I-TRACING: Your Partner for Secure Data
We support your teams in deploying a pragmatic, risk-driven data protection strategy. Our goal: helping you successfully bridge the gap between security, compliance, and business performance.
Your Challenges
Mastering your information assets is now the primary line of defense against cyber threats and compliance risks. We help you:
- Identify and control your sensitive data across hybrid environments.
- Reduce risks of data leakage (DLP) and compromise affecting your sensitive information.
- Monitor access and usage within collaborative tools and core business applications (SaaS, Microsoft 365, CRM, BI, databases, and data processing workflows).
- Ensure regulatory compliance (GDPR, NIS 2, AI Act, sector-specific requirements).
- Govern AI adoption (Copilot, Shadow AI) to prevent the exposure of your critical data.
Our Approach: Protecting Critical Data and Controlling Usage
We adopt a progressive, step-by-step methodology tailored to your organization’s maturity level to ensure the efficiency of your security measures:
- Auditing your environments (Microsoft 365, SaaS, business applications).
- Reviewing access rights and sharing levels.
- Managing your data lifecycle.
- Deploying targeted DLP policies that balance security requirements with business impact.
- Implementing data labeling, whether manual or automated.
- Enforcing encryption for your most sensitive data.
- Monitoring usage and user behavior.
- Integrating controls into your existing security operations (SOC, CSIRT, Legal).
- Guiding and raising awareness among your end-users.
We combine a User-centric vision (governance, awareness) with ITOps excellence (automation, monitoring) – a key condition for the long-term viability of your strategy. Our priority is to swiftly reduce your attack surface through digital hygiene quick wins.
Our Expertise
Our consultants and engineers intervene across the entire lifecycle of your corporate data:
AI & Data Protection: Turning Risk into Leverage
We understand that AI radically alters how data is exposed:
- Generated responses strictly depend on existing user access rights.
- Poorly protected data becomes instantly discoverable and exploitable by AI.
- Unmanaged use of AI tools (Shadow AI) increases your risk of data leakage.
For us, Data Protection is the essential foundation for any successful AI strategy. In parallel, our experts identify and benchmark AI-driven solutions that serve as powerful security levers: automating data classification, prioritizing alerts, and accelerating incident investigations.
Why Choose I-TRACING?
- Our pragmatic, business-oriented, and risk-driven approach.
- Our deep expertise in Microsoft 365 and Cloud environments.
- Our ability to combine governance, business use cases, and advanced technology.
- Our progressive guidance, bridging immediate quick wins with sustainable transformation.
- The native integration of AI challenges at the core of our protection frameworks.
Our partners
Glossary
DLP (Data Loss Prevention): Technologies designed to prevent the unauthorized leakage or loss of sensitive data.
DSPM (Data Security Posture Management): Tools that enable data classification, risk identification, and remediation management.
DAG (Data Access Governance): Management and monitoring of access rights to unstructured data (files, network shares).
DAM (Database Activity Monitoring): Real-time monitoring and analysis of access and operations performed on databases.
FAM (File Activity Monitoring): Analysis and tracking of user activity on unstructured data repositories.
Shadow AI: The use of AI tools by employees outside the control or approval of your IT department.
Structuring Your Data Protection Strategy
Mastering your data is the fundamental prerequisite for any digital transformation and AI initiative. We support you in evaluating your maturity, securing your environments, and establishing a tailored governance framework.