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Why Responsible AI security is key to protecting data and gaining a competitive edge

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Date: February 19, 2025
Category: Blog article
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Discover Ekimetrics' seven-pillar framework for responsible AI, designed to help businesses protect data, ensure compliance, and unlock competitive advantages. This article focuses on the security pillar, fostering trust and driving innovation through robust governance.

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At Ekimetrics, responsible AI is built on seven key pillars designed to help businesses turn compliance into a strategic advantage.

Understand how and why AI makes decisions. In today’s data-driven world, AI systems analyze vast amounts of information to make decisions that impact everything from loan approvals to recruitment processes. Yet, the black box effect—where the mechanisms behind AI decision-making remain opaque—poses risks to fairness, accuracy, and trust. For businesses, these challenges are compounded by the need to protect sensitive customer data, maintain compliance with evolving regulations, and mitigate reputational risks.

The first step to responsible AI is ensuring robust security. This pillar focuses on protecting and controlling the personal data of your company's customers or users.

What are the risks of AI?

  • Types of AI failure:
    • Data breaches or leakage
    • Non-compliance
    • Ransomware/malware attacks
    • Phishing
    • Fake news generation
    • Model and data poisoning
  • Risks for your end customers > disclosure and misuse of their data, possibly damaging to their image.
  • Risks for your organization > brand image/reputation damage, industrial espionage, sabotage, ethical and compliance issues, GDPR fines.

Where to start?

If you use a public tool like ChatGPT:

✔ Don't share any personal or confidential data about your customers or your organization

✔ Don’t provide information protected by intellectual property rights

✔ Don’t use the generated answers without first ensuring that they arereliable

If you have concerns about GAFAM technologies:

✔ Customize your own open-source GenAI

✔ Train your teams... and your Machine Learning algorithms

✔ Set up Data Clean Rooms (= a secure environment allowing at least two entities to share and centralize data within an anonymized platform)

Who’s in charge?

  • EXCOM
  • DPO
  • Compliance/Legal
  • IT Management
  • Data Teams
  • Final users

What's the competitive advantage of responsible AI security?

  • For your customers > enhanced reputation and customer loyalty
  • For your organization > improved robustness, maintenance, and compliance with regulations (with GDPR and AI Act, for instance, which also apply to organizations—in particular the GAFAM—operating on European soil)


Discover how responsible AI can become a strategic asset for your business. Download our comprehensive white paper to explore Ekimetrics'seven-pillar framework for responsible AI and gain insights into the competitive advantages of robust AI governance.

And learn how Data Clean Rooms can enhance your data security and governance practices.

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