IRONSCALES
How detection, remediation and training close one loop
IRONSCALES connects to Microsoft 365 or Google Workspace through the API, detects at the mailbox rather than the perimeter, removes confirmed threats across every affected inbox, and feeds what it learns into the phishing simulations your people see next.
Why reported phishing quietly becomes a full time job
Training people to report suspicious mail works. It also creates a queue, and the queue lands on whoever has least time.
Most reports are not threats
A well trained workforce reports marketing mail, unusual invoices and anything from an unfamiliar sender. Someone has to open each one, decide, and reply. The genuine phish is in there, surrounded by newsletters.
One campaign, many mailboxes
A phishing run reaches dozens of people at once. Deleting it from the one inbox that reported it leaves the rest delivered, and the people who did not report it are precisely the ones at risk.
Reporting without feedback decays
If nobody hears what happened to their report, reporting stops. The behaviour you spent a year building erodes in a quarter, and the erosion is invisible until you measure it.
Generic simulations teach generic lessons
Awareness campaigns built from stock templates bear little resemblance to what is actually arriving. Staff learn to spot the exercise rather than the attack.
What happens at each step
The four stages below are one product rather than four purchases, which is the central difference from assembling a filter and a training platform separately.
At the mailbox
Deployment is through the API, with no MX change. Detection continues after delivery, which is when most phishing campaigns are actually identified.
Every copy, once
A confirmed threat is removed from all affected mailboxes automatically, rather than from the one that noticed it.
Answered, not absorbed
User reports are triaged automatically and the verdict goes back to the person. The reporting habit survives because it visibly matters.
Built from real lures
Simulations draw on what is genuinely reaching your organization, which makes the exercise resemble the threat rather than a template.
The components, and what each replaces
IRONSCALES bundles capabilities that are frequently bought from three different vendors. That is the commercial argument, and it is worth pricing against the alternative.
| Component | Function | Often bought separately as |
|---|---|---|
| Mailbox detection | Post-delivery detection of phishing and impersonation | An API email security product |
| Autonomous remediation | Removal of a campaign across affected mailboxes | Manual work in the mail admin console |
| Report triage | Automatic verdicts on user-reported mail | A service desk queue |
| Simulation and training | Phishing exercises and awareness content | A separate awareness platform |
| DMARC management | Control of who may send as your domain | A dedicated authentication service |
Who benefits from the bundle, and who should not buy it
A strong fit
Organizations with a small IT function that are currently juggling a filter, an awareness platform and a mailbox rule they wrote themselves. The consolidation is real, and the feedback loop between reporting and training is the part that is genuinely hard to assemble yourself.
A weaker fit
If you already run a mature awareness programme you are happy with, you are paying twice for that half. Compare the detection engine on its own merits against the API products that do only detection, and ignore the bundle pricing until you have.
It still sits on top of Microsoft or Google
This does not replace your platform's built-in protection. Check what your existing licence tier already covers before adding a layer, because the overlap at the higher Microsoft tiers is substantial.
Ask about the AI agents specifically
IRONSCALES has been shipping AI agents for simulation and triage. Ask what each agent decides on its own, what a human approves, and how you audit those decisions, because the answer varies by feature and by release.
Count the reports before you count the features
How many suspicious emails did your staff report last month, who read them, and how long did each take? If nobody can answer that, the answer itself is the case for looking at this.
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