Job Description
**Overview**
In the age of generative intelligence, Secure AI is no longer a technical afterthought—it is the central mission that underpins trust, innovation, and responsible progress. As AI systems evolve from passive tools to autonomous agents, the risks they introduce— data leakage, model manipulation, agent sprawl, and regulatory non-compliance—demand a new security paradigm.
Secure AI Is Mission-Critical
1. AI Is a New Attack SurfaceAI models and agents interact with vast, sensitive datasets and operate across cloud platforms. This opens up novel threat vectors such as prompt injection, system prompt leakage, model theft, and unbounded consumption.
1. Security Must Be Built-In, Not Bolted-OnTraditional perimeter defenses are insufficient. AI security must be embedded across the compute, data, identity, and networking planes—just as we did before AI, but now with added complexity and urgency
...
In the age of generative intelligence, Secure AI is no longer a technical afterthought—it is the central mission that underpins trust, innovation, and responsible progress. As AI systems evolve from passive tools to autonomous agents, the risks they introduce— data leakage, model manipulation, agent sprawl, and regulatory non-compliance—demand a new security paradigm.
Secure AI Is Mission-Critical
1. AI Is a New Attack SurfaceAI models and agents interact with vast, sensitive datasets and operate across cloud platforms. This opens up novel threat vectors such as prompt injection, system prompt leakage, model theft, and unbounded consumption.
1. Security Must Be Built-In, Not Bolted-OnTraditional perimeter defenses are insufficient. AI security must be embedded across the compute, data, identity, and networking planes—just as we did before AI, but now with added complexity and urgency
...
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