Why Built-In AI Guardrails Aren't Enough | A10 Networks

Why Built-In AI Guardrails Aren't Enough | A10 Networks

Are built-in cloud guardrails enough to secure your enterprise AI applications? In this segment, Jamison Utter and Arjoyita Roy discuss why relying on basic, provider-default security settings creates a false sense of security.

While native cloud WAFs and default guardrails are fast and convenient for basic data protection (like masking credit card numbers), AI security requires protecting model reasoning—not just traditional code or sensitive patterns. Security teams must stop viewing guardrails as a simple compliance checkbox and focus on what threats are actually being mitigated.

Key Takeaways:
▫️ Built-in cloud guardrails are tuned for average usage, not tailored enterprise risks.
▫️ AI guardrails must protect reasoning, not just code or basic data types.
▫️ Existing security controls capture simple data, such as credit card numbers.
▫️ The biggest mistake in AI security is treating guardrails as a checkbox rather than evaluating their actual coverage.

🌐 Learn more about securing your network infrastructure and modern AI workloads at: https://bit.ly/4tIdke1

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