Investigate every security event with an AI agent, without the frontier bill | Datadog
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Nicolas Grislain<br>Staff Applied Scientist
*:not(.content-image-wrapper)]:tablet:col-span-12 [&>*:not(.content-image-wrapper)]:desktop-sm:col-span-7 [&>.interactive-diagram-component]:tablet:col-span-12 [&>.interactive-diagram-component]:desktop-sm:col-span-8 [&>form-wrapper]:tablet:col-span-12 [&>form-wrapper]:desktop-sm:col-span-8 [&>.expressive-code]:tablet:col-span-12 [&>.expressive-code]:desktop-sm:col-span-8 [&>.table-component]:tablet:col-span-12 [&>.table-component]:desktop-sm:col-span-8 [&>.dato-code-block-wrapper]:tablet:col-span-12 [&>.dato-code-block-wrapper]:desktop-sm:col-span-8 [&>.dast-content]:col-span-full">*:not(.content-image-wrapper)]:tablet:col-span-12 [&>*:not(.content-image-wrapper)]:desktop-sm:col-span-7 [&>.dato-code-block-wrapper]:desktop-sm:col-span-8 [&>.table-component]:desktop-sm:col-span-8 [&>.iframe-block-wrapper]:desktop-sm:col-span-8" data-astro-cid-twmmywjp> AI agents can investigate suspicious security activity by pulling in context from across an environment and explaining whether an event represents a genuine threat. But applying that kind of reasoning to every security event is prohibitively expensive.
If you’re building AI agents that operate over large streams of events, you’ve likely encountered the same trade-off...