{"id":549052,"date":"2025-03-07T11:25:55","date_gmt":"2025-03-07T10:25:55","guid":{"rendered":"https:\/\/www.devoteam.com\/expert-view\/ai-without-security\/"},"modified":"2025-07-07T17:04:18","modified_gmt":"2025-07-07T15:04:18","slug":"ai-without-security","status":"publish","type":"expert-view","link":"https:\/\/devoteam.info\/cz\/expert-view\/ai-without-security\/","title":{"rendered":"AI Without Security: A Car Without Brakes?"},"content":{"rendered":"\n

<\/path><\/svg><\/span><\/span>Estimated reading time: <\/span>5<\/span> minutes<\/span><\/p>\n\n

This article was originally published in “L\u00edder Magazine” in Portugal<\/em>, click here for the Portuguese version<\/a>. <\/p>\n\n

When the first automobiles began to circulate, it was a revolution. Suddenly, people could travel faster and farther than ever before. But there was a critical detail: no traffic signs, no efficient brakes, no clear rules. The enthusiasm for this new technology was so great that safety came later \u2014 and at the cost of many accidents.<\/p>\n\n

The problem: security as an optional accessory?<\/h2>\n\n

Today, we are experiencing a similar moment with Artificial Intelligence (AI)<\/a>. The technology is advancing at an astonishing pace, promising unprecedented gains in productivity and innovation. But there is a problem: many continue to treat cybersecurity<\/a> as an optional accessory. <\/strong><\/p>\n\n

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In the early 20th century we had cars without brakes, today we have AI systems running without any security control. On the digital road of AI, the impact of accidents can be global.<\/p>\n\n\n\n

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Rui ShantilalCyber Trust Vice President<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n

The recent case of DeepSeek<\/a>, a Chinese startup that publicly exposed databases containing sensitive information, is yet another reminder of AI\u2019s fragility when security is neglected. Among the exposed data were user conversation histories, secret API keys, and backend service metadata. In an era where we increasingly rely on AI to make critical decisions, these errors equate to selling a car without brakes. All while expecting no one to get hurt.<\/p>\n\n

The problem is not isolated. Many companies prioritise scalability and the performance of their AI models. But they ignore essential security measures such as data encryption, robust authentication, access segmentation, continuous monitoring, and protection against manipulation. <\/strong>But that alone is not enough.<\/p>\n\n

Without a holistic approach that includes incident response, continuous auditing, and risk-based access control, AI systems remain exposed to a minefield of vulnerabilities<\/strong>: <\/p>\n\n