The Real Risks
AI security in 2026 has four practical risks that every operator should understand:
- Employees pasting sensitive data into public AI tools.
- Prompt injection attacks on your AI products.
- AI outputs that include harmful or wrong information.
- Stolen AI provider credentials.
Data Leakage Through Prompts
The most common AI security incident in 2024–2025: an employee pasted a confidential document into ChatGPT to summarize it. The data is now in OpenAI's training pipeline (or at least their logs). The fix: company ChatGPT/Claude accounts with no-training terms, and policies.
Prompt Injection
An attacker puts malicious instructions in content the AI reads (an email, a web page, a document). The AI follows the attacker's instructions instead of yours. Defenses: don't blindly trust AI output, validate before acting on AI suggestions, sandbox AI tool use.
Model Output Misuse
AI generates content that's harmful, biased, or wrong, and your system publishes it. The fix: human review on customer-facing outputs, structured outputs validated before consumption, refusal-friendly system prompts.
- • Company-issued AI accounts only for work data.
- • Never paste customer PII or credentials into any AI tool.
- • Treat AI output as a draft, not as truth.
- • Report unexpected AI behavior to a designated owner.
Credentials and Access
AI provider API keys should:
- Live only in environment variables / secret managers.
- Be rotated quarterly.
- Be scoped to least privilege.
- Be revoked when employees leave.
Practical Policies
Three policies every company needs:
- AI Acceptable Use Policy — what data can/can't go into AI tools.
- AI Vendor Approval Process — new AI tools need security review.
- AI Incident Response — who handles AI-related security incidents.
Training
15-minute annual training for every employee: what AI can and can't do with company data, examples of bad patterns, what to do if you're unsure. Higher-risk roles get more depth.
AI security is the new email security. Most incidents happen because of everyday user mistakes, not sophisticated attacks. The defense is unglamorous: policies, training, and the right defaults.
See privacy AI founder checklist.
FAQ
Do we need a CISO for this? Below ~200 people, no. The AI champion can handle it with policies.
Tooling? Useful at scale. Manual works under ~100 employees.
Insurance? Cyber policies now include AI exclusions; read the small print.