Category comparisonEDR, XDR & AIDR
Detection and response is the right model for an intrusion, where the default answer is to contain it. It's the wrong model for a sales rep drafting a proposal. Governing AI usage starts with understanding the work, not with deciding what to block.
Two different problems
Both involve something leaving the endpoint. That's where the similarity ends.
What EDR / XDR / AIDR is built to catch
What workforce AI usage actually is
Both platforms bought their way onto this surface: CrowdStrike acquired Pangea for AI detection and response and Seraphic for browser runtime, SentinelOne acquired Prompt Security. The capability is real, and prompt injection defense matters for AI applications you build yourself. It's attack prevention, though, and that's a different question from the one a CISO gets asked about employee AI use.
Understanding, then control
A detection pipeline only records what tripped a rule. Everything else looks identical to nothing happening, which is why an XDR console can show you eleven AI incidents and nothing about the eleven thousand interactions around them.
Harmonic sorts AI activity into business use cases built from your own data, then maps them to teams and tools. That's the difference between reporting on incidents and reporting on adoption, and it's what an AI committee actually needs.
Purpose-built small language models read prompts, files and tool calls in roughly 200ms and judge them in context. To a regex, a developer referencing a schema and someone pasting live credentials look the same. So do a nurse asking for help with discharge wording and a nurse pasting real patient vitals.
Most situations don't need a hard stop. Harmonic coaches the employee at the moment it matters and reserves blocking for the cases that warrant it, which keeps the queue small enough that the alerts still mean something.
Head to head
Each of these platforms is strong at what it was built for. The AI pillar is the newest part of each, and in SentinelOne's case it's a product Harmonic competes with directly. Here's where it runs out.
A detection platform can tell you what tripped a rule. It can't tell you what the work was.
Neither CrowdStrike nor SentinelOne classifies AI interactions into business use cases. Harmonic does it for every interaction, which turns AI governance from an incident report into an adoption program you can take to a board.
Entity matching, custom detectors and regex-style rules versus semantic classification.
Falcon Data Security applies pattern-based detection to AI traffic, and SentinelOne's AI stack has no purpose-built small language models behind it. Both work on structured identifiers and both struggle with the material that matters most: unreleased plans, proprietary code, strategic context.
Visibility across thousands of URLs is not enforcement across thousands of apps.
Large published figures in this category usually count what a platform can see. Prompt Security has fewer than fifty sites with full inline controls behind its 12,000+ URL visibility number. Harmonic applies warn, nudge and block across 1,000+ AI applications.
ChatGPT Free and ChatGPT Enterprise are the same domain, the same interface and the same traffic pattern. The terms covering the data are not the same.
A detection pipeline sees a process and a destination rather than an authenticated session, so policy has to trust every ChatGPT session or none of them. Harmonic resolves the plan from the account itself across ChatGPT, Claude, Gemini, Copilot and Perplexity, and applies different data policy to a free tier than to the enterprise license you're paying for. For anyone in a regulated industry, this is the difference between having an enterprise agreement and being able to show that the interactions actually happened under it.
Block-first defaults and pattern-based detectors generate volume the team then has to triage.
CrowdStrike's AI controls are allow, block or redact with no inline coaching, and Prompt Security defaults to blocking. When a detector can't read context, the only way to catch the real cases is to fire on more of them. That cost lands on your analysts, and on the employee who starts working around the tool.
We needed to understand not just which AI tools were being used, but how they were being used. That's a completely different question, and it's the one that actually matters.
Frequently asked
Including the ones where the answer is no.
Not the EDR. The AI governance layer attached to it, often yes.
Falcon and Singularity stop attacks on the endpoint, and every Harmonic customer keeps that running. Prompt Security, now SentinelOne's workforce AI product, is doing the same job Harmonic does, and buyers evaluate the two against each other rather than deploying both. The same applies to the AI pillar CrowdStrike assembled from Pangea and Seraphic.
Fair objection. Ours is a much smaller thing than the one you're comparing it to.
An EDR agent hooks the kernel, watches every process and file operation, and carries a footprint to match. Harmonic's agent is scoped to AI activity: the desktop AI clients and coding agents a browser extension can't see, and nothing else. It isn't inspecting general endpoint behavior, because it doesn't need to.
It depends on the question you're being asked.
If it's "are we exposed to prompt injection," those modules are a reasonable answer, and Prompt Security in particular was built for exactly that on applications you develop yourself. If it's "what is our workforce doing with AI, which accounts and plans are they doing it on, and where is it paying off," a detection pipeline can't produce that. It only kept the interactions that tripped a rule.
It usually does, but that's a detection design choice rather than a law of physics.
Because the SLMs judge context rather than match patterns, far fewer interactions reach a human at all, and most that do are handled by coaching the employee instead of opening a case.
Book a demo
Runs alongside your EDR with no changes to it. You'll get a map of AI use across your organization, with the data exposure attached to each use case.
What happens next
Looking to become a partner? Apply here
