GenAI Failure Modes You Must Expect
Understand common failure modes of generative AI such as confident yet inaccurate outputs and hidden prompt injections. Learn how to spot these risks early, apply verification steps tailored to mission impact, and enforce minimum protocols to ensure AI-generated content is safe and reliable before it informs decisions.
A safe to share habit can still leave a team exposed, because some failures happen after the data leaves your hands.
GenAI output often looks finished, and that fluency tricks people into treating it like a sourced answer.
That mistake shows up in memos, code, and analysis where the text reads clean and confident.
The work feels like writing, but the decision risk sits in whether the facts are real.
A staffer can paste a policy paragraph into an approved tool, get a crisp summary, and forward it.
The summary can include one invented date or one swapped program name, while everything else is correct.
If a ...