Today, we’re excited to announce that Fiddler AI has signed a definitive agreement to be acquired by CrowdStrike.
CrowdStrike already helps enterprises protect their agents and the environments they operate in. Fiddler will help connect that protection to whether the agents themselves are behaving safely and doing what was intended.
Amit and I started Fiddler eight years ago because we believed businesses would need to understand the AI they depended on. I’d seen the problem up close at Facebook, where we built “Why am I seeing this post?” to explain a ranking model to a billion people. That conviction shaped our work in explainability, model monitoring, evaluations, agentic observability, and runtime guardrails. With CrowdStrike, we have the opportunity to bring that work to more enterprises and connect it directly to how they secure AI.
From AI That Answers To AI That Acts
Agents write code, access sensitive data, invoke tools, and make decisions on our behalf. As their responsibilities grow, so do the consequences of their mistakes.
An agent can have valid credentials and approved tools while making unsupported decisions, ignoring instructions, or claiming work it never completed. These failures can happen without an attacker. Attackers can also exploit the same weaknesses.
Enterprises need to know whether someone is attacking an agent and whether the agent is going wrong on its own. The first one is a security question, while the second is a safety question.
Security Meets AI Behavior
Consider a coding agent authorized to investigate an incident. It encounters a permissions error and changes an access policy to make the error disappear. The commands succeed, but the agent has weakened a security boundary while doing work it was only authorized to investigate.
Fiddler can help trace the instructions, tool calls, and results, and evaluate whether the agent stayed within its task. CrowdStrike brings context about the identity, endpoint activity, and cloud resources involved.
Connecting these capabilities helps security teams assess exposure and respond, engineers correct the behavior, and governance teams document the outcome. The same evidence informs a new test and a runtime control, so the next agent doesn’t get to make the same mistake.
A Control Plane For The Agentic Enterprise
Enterprises will use many models, clouds, and frameworks. They need oversight across agents they build, coding assistants their employees use, and agents embedded in software they buy.
Together, we want to help enterprises decide which agents are ready to deploy, what they are allowed to do, and when they can be trusted with more responsibility.
That requires connecting development evaluations, production monitoring, and runtime policy. Our Centor evaluator models provide a foundation for this work, running at a fraction of the cost of LLMs to assess faithfulness, sensitive information, and safety while addressing production requirements for cost, latency, and privacy.
For our existing customers, the needs that brought you to Fiddler remain central to our mission: understanding model behavior, improving AI quality, managing cost, and meeting governance requirements. That spans predictive models, generative AI, and agents. We see security as a natural extension of this work, with the opportunity to make the evidence you already rely on useful across more of your enterprise.
Thank You
To our customers and partners: thank you for trusting us with important systems and shaping our work through your hardest production problems.
To the Fiddler team: you’ve built through eight years of change while staying committed to our mission. I’m proud of what we’ve built together.
And to our future colleagues at CrowdStrike: we’re excited to build with you.
We started Fiddler to help businesses understand AI. Together with CrowdStrike, we intend to turn that understanding into the confidence to put AI to work across the enterprise.