Great breakdown of a risk that's often overlooked. As enterprises adopt AI middleware to connect models, tools, and data sources, the middleware itself becomes part of the security perimeter, not just the AI model.
We've seen that strong governance, least-privilege access, continuous monitoring, and guardrails against prompt injection and tool misuse are just as important as model performance. Security needs to be built into every layer of an AI system, especially where autonomous agents are involved.
We recently explored the prompt injection side of this challenge as well, including real-world examples and mitigation strategies. If anyone is interested in that aspect, here's the article: mlaidigital.com/blogs/prompt-injection-attacks-in…
Great breakdown of a risk that's often overlooked. As enterprises adopt AI middleware to connect models, tools, and data sources, the middleware itself becomes part of the security perimeter, not just the AI model.
We've seen that strong governance, least-privilege access, continuous monitoring, and guardrails against prompt injection and tool misuse are just as important as model performance. Security needs to be built into every layer of an AI system, especially where autonomous agents are involved.
We recently explored the prompt injection side of this challenge as well, including real-world examples and mitigation strategies. If anyone is interested in that aspect, here's the article: mlaidigital.com/blogs/prompt-injection-attacks-in…