For the past few decades, software security testing has operated on a fairly predictable model. Find weaknesses, validate inputs and outputs, identify known threats through scanning, and ensure compliance standards. This works well for traditional software systems because they are deterministic, rule-based, and predictable. But AI systems work in a different way. AI systems learn …
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