AI Security: The New Types of Attacks That No Classic Antivirus Protects You From

In 2026, AI security has become a priority in its own right for any company using artificial intelligence. AI systems can be manipulated in different ways than classic attacks. At Altanet Craiova We believe that companies need to be aware of these risks. They are real and growing rapidly.

How serious is the problem?

The numbers speak for themselves:

• 87% of business leaders see AI vulnerabilities as the number one risk to their organization.
• Fish 90 organizations have already reported that their AI tools have been directly exploited.
• 300,000 login details ChatGPT were sold on the dark web. This is the hidden area of the internet.
• 35% of organizations see security as the main barrier to implementing AI.

What types of attacks are specific to AI?

Attacks on AI systems have their own characteristics. They are different from viruses, ransomware or phishing. Here are the main threats:

• Prompt injection (command injection): The attacker tricks the AI model into ignoring its rules. The goal is to disclose confidential information. For example, a chatbot can be tricked into revealing data about other customers.
• Unauthorized distillation: An entity systematically queries a model to copy its knowledge. This creates its own model without payment or consent. anthropos has already reported cases of massive extraction of the Claude model's capabilities.
• Date poisoning (data poisoning): Attackers introduce false information into the training data. The model will make wrong decisions or ignore certain threats.
• Attacks on autonomous agents: Agents acting independently can be manipulated to perform harmful actions. A payment agent can be tricked into approving fraudulent transactions.

How exposed are organizations?

The chart below shows the level of exposure to AI security risks in 2026:

How do you protect your company against AI security risks?

AI security requires a special approach. Here are the steps you need to take to protect your business:

• Strong authentication: Simple passwords are no longer enough. Use two-step authentication for any AI account.
• Access limitation: Give access to tools only to people who need them. This reduces the attack surface.
• Usage monitoring: Tracks queries sent to models. High volumes or repetitive requests may signal an attack.
• Supplier verification: Review privacy policies before integration. Check where your data is stored.

What's next?

In 2027, new security standards will emerge. They will focus on isolating and verifying autonomous agents. AI security will become a distinct specialty. It will be as important as network security in the 2000s.

Do you use AI tools in your company? Team Altanet Craiova can perform a security audit adapted to the new risks. Visit our website contact and let's discuss.

This article is part of Altanet's series on AI trends in 2026. Next article: AI Geopolitics: What the Tech War Between the US and China Looks Like. See also the complete guide to the series.