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

At Ekimetrics, responsible AI is built on seven key pillars designed to help businesses turn compliance into a strategic advantage. This series of articles delves into each pillar, starting with security.

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 misuseof their data, possibly damaging to their image

●      Risks for your organization > brandimage/reputation damage, industrial espionage, sabotage, ethical and complianceissues, GDPR fines

Whereto start?

If you use a publictool like ChatGPT:

✔     Don't share any personal orconfidential data about yourcustomers or your organization

✔     Don’t provide information protected by intellectual property rights

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

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

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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 withregulations (with GDPR and AI Act, for instance, which also apply toorganizations—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 in to 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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