🔐 Security

OWASP LLM Top Risks in Plain Language for SMB Leaders

Security teams use OWASP labels that sound abstract to business operators. Here's the practical version — what each risk means and the one question you need to answer for each.

Security teams often use OWASP labels that sound abstract to business operators. Here is the practical version — what each risk actually means for your operation and the single question you need to be able to answer for each one.

The Five Risks That Matter Most for SMBs

OWASP Risk What it means in plain language Your operating question
Prompt Injection Untrusted text (from a user, email, or document) manipulates the AI into taking unintended actions Can untrusted input influence critical actions in our system?
Sensitive Data Exposure Secrets, personal data, or confidential information leaks into AI outputs that get sent to the wrong person Can sensitive data appear in outputs where it shouldn't?
Supply Chain Risk Vulnerable third-party plugins, models, or AI tools you've connected to your workflows Do we know which vendor dependencies our AI workflows rely on?
Excessive Agency Automations take consequential actions — sending emails, modifying records, initiating transactions — without enough human oversight Which automated actions require human approval before executing?
Output Reliability Confident but wrong responses — hallucinated facts, incorrect figures, plausible-sounding errors — affect operational decisions How do we verify output quality before it's acted on?

What This Means in Practice

You don't need enterprise-scale security programs to handle these risks. You need explicit rules and consistent enforcement. For most SMBs, that translates into three concrete actions:

  • Define data boundaries: specify what data types are allowed into AI workflows, what gets masked, and what's blocked entirely
  • Build approval gates: require human review for any AI output that triggers a consequential action (sending to a client, modifying a record, initiating a payment)
  • Document your vendor dependencies: know which AI tools, APIs, and plugins your workflows rely on — and what your options are if one becomes unavailable or compromised

The Mistake to Avoid

A common pattern: teams add controls only after a scare. By then, the architecture is harder to change and trust is already damaged — both internally and with clients. The OWASP LLM framework exists precisely because these risks are predictable. Addressing them before deployment is far cheaper than addressing them after an incident.

For SMB operators, the best approach is lightweight but explicit. Write your rules down, enforce them in tooling, and review them quarterly. The goal isn't a formal security program. It's a documented set of answers to the five questions above.

Paul Thomas

Founder & AI Consultant — TreeHouse AI, Tampa, Florida

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