AI Security
5 AI agent security mistakes that cost companies dearly
AI agents save time, but can become a risk if the right security measures are missing. Companies should avoid these five mistakes.
AI agents can process emails, analyze data, resolve tickets, or execute actions independently in enterprise systems. This saves time – but can quickly become a risk if the right security measures are missing.
Companies should avoid these five mistakes.
1. The agent gets too many permissions
An agent should only be able to access the data and functions it really needs for its task.
A system that summarizes support requests does not need to be able to export customer data or delete records. The greater the permissions, the greater the potential damage.
2. External content is adopted unchecked
Manipulated instructions can be hidden in emails, websites, or documents. An agent could interpret them as a legitimate request and thereby pass on sensitive data or execute unwanted actions.
This risk is known as Prompt Injection.
3. Critical actions run completely automatically
Not every task should be executed without control. For payments, changes to production systems, or sending confidential information, a human should still decide.
Autonomy should always depend on the risk of the action.
4. No one can trace what happened
Companies must be able to see which data an agent has accessed, which tools it has used, and which actions it has executed.
Without proper logging, it becomes difficult in an emergency to clear up errors or detect an attack.
5. Security is only considered shortly before go-live
Adding permissions, approvals, and security boundaries as an afterthought is often complicated and expensive. Security should therefore be considered when selecting the use case – not just when the agent is about to go live.
Guidance is provided by the NIST AI Risk Management Framework, MITRE ATLAS, and the OWASP AI Agent Security Cheat Sheet, among others.
Conclusion
AI agents can take a lot of work off companies' hands. At the same time, small errors can have direct impacts on data, customers, and business processes.
The most important question is therefore not only: What can our agent do?
But also: What is it allowed to do – and what happens if something goes wrong?
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