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AI systems are increasingly judged not only by what they can do, but by how reliably their performance can be measured, traced, and governed.
Summary
In this interview, Abhishek Saxena, Head of Strategy and Growth at Sentient, discusses what happens when AI agents optimise for a score rather than the task, and why reward hacking often exposes weaknesses in the evaluation process. Saxena leads product strategy and operations for artificial intelligence and emerging technologies at Sentient, an AI research and development firm with a focus on provenance, open source AI development and recursive self improvement. He sets product priorities for what the company ships and is responsible for the growth of its ecosystem.
This is a brief wire summary, the full story (linked below) has the complete details.
KazaSec's take
AI-related security incidents are a genuinely new category, prompt injection, model manipulation, and data leakage through an LLM integration don't map cleanly onto traditional application security testing, and are worth assessing deliberately rather than assuming existing controls already cover them.
Coverage details
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