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Vendor claims deception technology isn't the same as a honeypot, what's the difference?

RRecep K***MemberCommunity member
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#1

We're a 45-person logistics software company based in Chicago. We're currently in talks with a new security vendor for our cloud servers and internal office network. They strongly advised us to add 'deception technology' alongside our standard endpoint protection, quoting 18,000 USD for an annual license.

During the pitch I argued this is basically the same old honeypot concept we've known for years and that spinning up an empty VM to monitor network traffic would get us the same result at virtually zero cost. The sales engineer insists this isn't a static honeypot, but rather generates active deception layers and dynamic breadcrumbs.

What is the real-world difference between these two concepts in a mid-sized environment like ours? In terms of operational overhead and false positives is there any genuine return on spending budget on commercial platforms like this instead of just deploying a simple honeypot and calling it a day?

HHilal Ö***Member
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Most Helpful#2

Short answer: A honeypot is an isolated static decoy server waiting for an attacker to stumble upon it whereas deception technology is an integrated defense system that actively misdirects attackers by scattering fake credentials, dummy database strings, and dynamic traps across real production endpoints. The core difference is that a honeypot monitors a single fixed point, while deception technology detects lateral movement within the network.

When you deploy a basic honeypot, you simply place a vulnerable-looking server in a corner of your network. However modern attackers don't just run random subnet scans once they breach an endpoint; they scrape local memory for active sessions inspect the registry, and trace recent connections. Traditional honeypots are completely blind at this stage because the attacker has no reason to reach out to that isolated box.

Deception platforms, on the other hand, plant benign decoys directly on real employee workstations—such as fake admin credentials, decoy admin console bookmarks in browser histories, and dummy config files on the file system. The moment an attacker compromises a real endpoint and attempts to pivot to other servers using that bait credential, the alarm triggers immediately. That's because nobody except an intruder would ever touch that fake account.

18,000 USD is a substantial budget for a 45-person team. If you have a complex Active Directory environment numerous subnets, and sensitive customer databases, these systems reduce operational burden because their false positive rate is practically zero. But if your entire infrastructure is just a handful of servers on a single cloud provider, you can build a similar early warning mechanism with simple open-source canary tokens for next to nothing.

İİsmail T***MemberCommunity member
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#3

What the vendor is saying is technically accurate, but wrapped in heavy marketing spin. Honeypots are passive; these platforms actively distribute lures across endpoints. That said, spending money on this level of luxury before you've locked down fundamental access controls, multi-factor authentication, and patch management in a 45-person shop is the wrong investment.

CCerenMember
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#4

If an attacker has already reached the point where they've breached your machine and are dumping memory, they're likely going to spot the commercial security agent installed on it anyway. The decoys dropped by commercial deception tools eventually become known signatures flagged by offensive tooling. Instead of dropping 18,000 USD on this, put that money toward a solid penetration test.

DDeniz B***VeteranCommunity member
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#5

The difference lies directly in the trigger mechanism. A honeypot listens on an IP level; if the attacker doesn't port scan that specific IP, it's useless. Deception tools, on the other hand, inject fake tickets or bogus SSH keys into the Local Security Authority (LSA). The moment the attacker tries to escalate privileges using that key, the system locks down from the central console.

SSimgeMember
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Doki · Log management setup · 2025

#6

Before buying any licenses try out free canary tokens. Drop a file containing a decoy link inside critical directories or set up a dummy service account on the server. If anyone touches these traps, you'll get an alert. For small teams, this approach provides more than enough protection for months.

HHüseyin S***VeteranCommunity member
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#7

We tested a similar tool in an office of 60 people. Not a single alert went off for three months, then one day a newly hired intern opened a fake accounting spreadsheet in a shared network folder and the alarms went off immediately. The false positive rate is truly zero, but when there's no attack happening, you completely forget it even exists.

AAli P***MemberCommunity member
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#8

Before approving an annual budget of 18,000 USD, I recommend requesting a two-week proof of concept (PoC) study from the vendor on your corporate network. A contract should not be signed without evaluating the quality of the telemetry generated within the organization's own infrastructure.

KKader A***Member
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Doki · KVKK compliance consulting · 2025

#9

they took the old honeypot, sprinkled some AI sauce on it, threw a couple of fake passwords onto the endpoints, and slapped the name deception technology on it but tbh the price shot up 5x overnight too. the salespersons biggest feat of deception will be getting that 18k invoice approved.

Edit: asked below, I wrote the answer in the second message.

AAhmet B***ExpertCommunity member
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#10

there is something to watch out for. an automated scan report is not the same as a penetration test.

everything goes well for the fist three months; problems arise in the fourth but good luck with that.

FFiliz U***Member
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#11

I disagree with you on this point. The harder it is to reverse a decision, the slower you should make it.

Hasty decisions become decisions you have to fix six months later. I'm also curious if anyone does it differently.

MMelis K***Member
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#12

i feel the same way. solutions that work at a small scale collapse when you grow; I learned this late.

the biggest time-waster for us was not knowing who had the final say.

TTülay Y***Member
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#13

There's also a measurement aspect to this. If you scold false alarms, nobody will report again.

Your time to detect an issue directly determines its cost. This is my opinion, I'm not claiming it's absolute truth.

DDilara Ç***Member
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#14

This approach has a cost, which isn't discussed. Don't rely on a single measure; go layer by layer.

If you get three different answers on a topic, the question was asked wrong. Hope this helps.

GGökhan C***Member
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#15

Thanks for posting. Solutions that work at a small scale collapse when you grow; I learned this late.

That's all, sorry if I went on too long.

BBurak A***Member
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#16

quick summary for newcomers: Trying to do this alone is the most expensive way.

i'm also curious if anyone does it differently.

EElaMember
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#17

I think it's hard to be that definitive about deception technology vs honeypot difference. If you don't write this down from the start, it leads to arguments later.

An untested backup is not a backup.

SSelim Z***Member
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#18

I'm curious too.

TTülay A***MemberCommunity member
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#19

I didn't know that.

OOnur Y***Member
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Doki · Log management setup · 2024

#20

I disagree with you on this point. An automated scan report is not the same as a penetration test.

Your time to detect an issue directly determines its cost.

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