Agentic DRP
for the rest of us

What counts as Agentic DRP

A DRP platform is "agentic" if the software does the analyst's job, not just fills a dashboard for the analyst to work through. It hunts, triages, verifies, and drafts the response so the only thing left for a person is the decision. Four criteria:

1. Continuous autonomous detection. The system actively hunts across typosquat permutations, newly-registered domains, certificate-transparency logs, app stores, paste sites, and credential and threat feeds, and stands watch on known threat-actor infrastructure so an actor's new registrations are flagged the day they appear. It does not wait for a human to run a search.
2. Autonomous triage. Findings are scored, clustered by shared infrastructure, and the noise floor is suppressed before anything reaches a human queue.
3. Autonomous verification. High-signal findings are fetched, screenshotted, hashed, compared against the real brand, and reviewed by two independent AI engines before anything is escalated.
4. Drafted resolution, human approval. The system composes the multi-channel takedown and the abuse report, packages the evidence, and hands you a ready-to-file action. You approve it; nothing leaves the platform on its own. Once filed, the loop tracks it through the provider and re-verifies on a cadence.

If the vendor's product ends at "a dashboard full of findings for your analyst to triage," that is not agentic. That is a DRP data feed. And if it files takedowns on your behalf with no one in the loop, that is a liability. We sit deliberately in the middle: the agent does the work, you own the decision.

Who else is calling themselves Agentic DRP

Right now, a short list. Outtake (ICONIQ-led $40M Series B, January 2026, with Satya Nadella, Bill Ackman, Nikesh Arora, and Shyam Sankar among the angels) is the most-visible pure-play. Bolster, Doppel, and PhishLabs are retrofitting their workflows with AI agents. The enterprise DRP players all see the same shift: analyst-desk brand protection is on a migration path to agentic brand protection.

None of them are priced for mid-market. SecurityAlert.ai is.

The SecurityAlert loop, in one diagram

The agent proposes. You approve.

The step most vendors gloss over is the one that matters most: who presses send. When the AI flags a look-alike domain, it does not just raise an alert. It writes a full analyst verdict (malicious, suspicious, or benign, with its reasoning), a second engine independently reviews that verdict so you can see where two models agree or disagree, and it drafts the takedown report ready to send to each provider. All of it lands in a queue for you to approve.

Sending is governed by an approval gate that ships off by default. No abuse report leaves the platform until a person with the right permission approves it. That is the honest version of agentic: the software removes the hours of analyst work, and you keep the decision about what gets filed in your name.

The agent tracks the actor, not just the domain

Takedowns kill domains. Actors register new ones. So the platform fingerprints the infrastructure behind every finding. We run our own WHOIS collection and ingest ICANN zone data into a self-collected registrant and nameserver index, with no third-party lookup API in the path. Search it by registrant name, email, phone, organization, address, or nameserver, and every evidence pack lists the related domains sitting on the same infrastructure.

Watch an actor and the loop keeps hunting after the case closes. The day that actor registers another domain, it lands as a flagged finding, usually while the domain is still parked and before a phishing kit is deployed. Actors rotate identities cheaply; infrastructure is what they reuse. Fingerprint the infrastructure and you block the next campaign instead of reacting to it.

Why mid-market teams need this

The average public-company brand has multiple active impersonation campaigns running at any time: typosquat domains harvesting credentials, cloned landing pages chasing ad spend, fake mobile-app listings, and credentials sitting in stealer logs. Left unmanaged, each one converts into customer confusion, credential loss, or direct fraud.

Enterprise DRP solves this with a $50,000-$250,000/year managed service. Mid-market security teams, with one to five security staff and a five-figure tooling budget, have historically had two options: buy enterprise DRP they cannot afford, or do nothing. The "do nothing" option is the majority.

Agentic DRP at $249/month flat changes the economics. The work a DRP analyst used to do is now a software loop running around the clock for one hundredth the cost.

The same platform makes the case upward, too: an outside-in security rating from A+ to F and a modeled probable annual loss range turn a queue of findings into numbers a board can act on.

How we are different from enterprise Agentic DRP

Flat pricing, not per-outcome billing

A cohort of AI-native agent startups are experimenting with outcome-based billing, per investigation or per takedown. We are not, for the same reason we reject seat-based billing: unpredictable cost is the thing that blocks mid-market teams from adopting security tooling. $249/month covers every domain, every finding, every drafted takedown. You know the bill before you buy.

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