SMEs are embracing AI to drive productivity, enhance customer engagement, and inform decision-making. But this rapid adoption brings distinct risks like hallucinations, bias, prompt injection, data leakage, and unsafe outputs that traditional security testing often misses. Vendor-provided safeguards and safety reports are helpful, but they do not guarantee resilience against real-world misuse or adversarial manipulation. AI red teaming deliberately probes models with adversarial inputs and edge cases to discover hidden vulnerabilities and evaluate how systems handle everything from prompt attacks to privacy leaks. This proactive testing is critical for SMEs that cannot afford costly breaches or compliance setbacks. Fortunately, accessible, cost-effective red teaming tools and services allow organisations to test AI systems without breaking the bank. For SME CISOs and security leaders, embedding red teaming into AI governance builds confidence, strengthens compliance, and boosts stakeholder trust.