Why EDR Misses Agent Intent

An EDR event can tell an analyst that a process opened a file, spawned a shell, reached the network, or modified a repository. It usually cannot tell them which prompt led to the action, which model suggested it, which agent tool executed it, or which policy should have governed it.

That missing context matters because agent behavior can look like normal developer behavior at the operating-system layer. The same shell command can be routine maintenance, model-driven drift, or a prompt-injection outcome depending on the session context.

AgentKeeper should not replace EDR. The layers answer different questions. EDR asks whether endpoint behavior is malicious or suspicious. Agent runtime security asks whether an agent action was allowed for this user, workstation, repository, data surface, and policy.

Security teams need both when AI agents become part of daily development. Endpoint alerts without agent context leave too much reconstruction work for analysts.

Only logging blocked events creates a distorted picture. Analysts need to see the normal passed actions around a block: the reads that preceded it, the prompt that shaped it, the MCP calls that were allowed, and the policy state at the time.

That surrounding record helps separate expected automation from actual abuse. It also gives policy owners the data they need to reduce noisy warnings without weakening important blocks.

A useful AI-agent investigation starts with the verdict, then opens the evidence: prompt context, tool arguments, output summary, policy match, affected repository, identity, workstation, model, and time.

That chain turns agent adoption from an exception process into a governed operating model. Teams can approve useful tools without accepting blind spots.