We live in a world where Artificial Intelligence (AI) decides which emails are spam, which bank transactions are suspicious, and even what news we see on Facebook. But have you ever wondered what would happen if the "teacher" training these robots were, in fact, a criminal?
This attack is called Data Poisoning. By 2026, hackers realized they didn’t need to destroy the robot, but simply teach it incorrectly. At Altanet Craiova, we closely monitor the evolution of these technologies to know how to protect our clients.
What is Data Poisoning and how does it work?
AI systems, such as ChatGPT or antivirus filters, learn from massive amounts of data (“Machine Learning”). The process is similar to teaching a child: if you show them thousands of pictures of cats and tell them “this is a cat,” they will learn to recognize cats.
In a Data Poisoning attack, hackers infiltrate this learning phase. They intentionally introduce incorrect ("poisoned") data into the system. For example:
- Tricking the Antivirus: Hackers "teach" the security AI that a certain type of dangerous file is, in fact, "safe." Thus, when the real virus attacks, the system opens the door for it, believing it is a friend.
- Spam Manipulation: Attackers send millions of emails specifically designed to confuse the spam filter on Gmail or Yahoo, causing it to classify dangerous messages as "Important."
Why is this a silent threat?
The most serious part is that the system continues to function; it doesn’t throw errors. It appears healthy, but it makes the wrong decisions. It’s like having a gatekeeper who has been trained to let thieves in if they’re wearing a certain hat.
For companies, the risk is immense. If a competitor “poisons” the data of an AI that sets prices or predicts sales, that company could go bankrupt by making decisions based on compromised information.
How can we protect ourselves from a manipulated AI?
Although this type of attack is highly technical, the solutions require a great deal of human attention:
- Verify data sources: Companies should not accept data “from the internet” without verification. Cleaning the data before feeding it to the AI is essential.
- Don’t rely 100% on AI: Even if you use automated tools, the human factor (Human in the Loop) remains critical. If the AI tells you that a strange transaction is “okay,” but your instinct says no, listen to your instinct.
- Continuous monitoring: If a system’s performance drops suddenly (for example, a lot of spam emails start getting through), it’s a sign that someone has tampered with the system’s “instruction manual.”
For a more detailed explanation of how machine learning models are affected, you can check out the IBM article on Data Poisoning mechanisms.
Conclusion
Artificial Intelligence is a powerful but vulnerable tool. Data Poisoning reminds us that technology is only as good as the data we feed it. In 2026, the quality of information is more valuable than ever.
Does your company want to implement AI solutions or secure its existing infrastructure? Our team offers consulting and IT services tailored to new technological challenges. Visit our contact page and let’s build a secure future together.
This article is part of Altanet’s educational series on digital security. Want to know what other risks you’re facing this year? See the complete list of cyber threats for 2026.
