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Comparing deception technology vendors — what are the differences, is it overkill for a 20-person company?

HHasan D***Member
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#1

We are a 20-person software company based in Boston operating in the health tech space. Our customer data is quite sensitive, and deception technologies were highly praised at a security seminar we attended recently. They describe it as catching attackers early on with zero false positives using fake credentials, decoy servers, and honeypot databases deployed across the network.

We got demos from two different security vendors; one quoted an annual license fee of 18,000 USD, and the other 26,000 USD. I haven't quite figured out the fundamental architectural differences between the vendors and what these differences actually do in practice. More importantly, does this investment make sense for a 20-person company with no dedicated security team, or would jumping into this kind of tech before our baseline security layers are fully dialed in just be a waste of resources?

KKader B***Expert
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Most Helpful#2

Short answer: For a 20-person company with no in-house dedicated security staff, buying deception technology at these price points is definitely premature. These technologies offer an excellent detection mechanism, but deploying fake decoys before your infrastructure's basic security hygiene is complete is like leaving the front door unlocked and setting up tripwires inside.

Deception technology vendors fundamentally diverge across three different architectures: 1) Endpoint lures (breadcrumbs/lures). They plant fake browser credentials, invalid remote access keys, or fake memory artifacts on employee machines. The moment an attacker breaches the machine and uses this info, an alert is triggered. 2) Network-based decoys (honeypots). Fake servers printers or databases are run on the network, looking completely real but serving no actual purpose. 3) Directory- and identity-level deception. Fake admin accounts are added to the central user directory; an attacker trying to escalate privileges goes straight for these accounts.

Deployment and maintenance overhead creates a huge difference between vendors. Some promise fully automated rollout while others require serious engineering effort to continuously analyze your environment and generate fresh decoys. If you don't have an in-house expert to triage these alerts and keep the systems updated allocating that 20,000 USD budget first toward advanced endpoint security (EDR), a strict email filtering layer, and regular external audits will provide vastly better protection.

RRabia B***ExpertCommunity member
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#3

What is an attacker even going to do in a 20-person company to fall into a honeypot? Your network is probably just a single subnet and a few cloud servers anyway. Deception tech is meant for enterprise giants with thousands of servers and hundreds of complex privilege tiers to catch lateral movement. You're just helping some sales rep hit their quota.

FFatma B***Member
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#4

The biggest differentiator between vendors is static emulation vs. real OS decoys. Cheap solutions just spoof open ports, and an attacker realizes it's fake two commands in. The expensive ones run actual virtual machines, but patching and licensing them is an operational nightmare of its own.

AAycan Ş***ExpertCommunity member
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#5

If you want to experiment with canary/decoy concepts, no need to spend money. Set up basic open-source honeypots in an isolated cloud subnet, or use free canary token tools that drop a fake document in important folders and email you when opened. It'll let you test the waters.

SSelim Z***Member
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#6

We made this exact mistake last year on our 35-person team. Paid 15,000 USD for a product. Over an entire year the system generated 2 alerts total; both were just network scanner tools run by our new intern. If we'd spent half that budget on two external pentests we would have actually patched real vulnerabilities.

MMetin G***MemberCommunity member
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#7

In the security pyramid, prevention comes before detection. Is your multi-factor authentication (MFA) fully enforced everywhere, are cloud misconfigurations being scanned, do you run phishing simulations on employees? If those aren't rock solid, deception tech is just a shiny luxury toy.

MMehmet A***Expert
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#8

When vetting vendors, watch out for these three things: 1) Do the fake credentials generated by the product slow down your actual systems? 2) Can the management console push instant alerts directly to your team's chat or ticketing tool? 3) How many hours of engineering time does it demand weekly for upkeep?

KKeremMember
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#9

You mentioned storing healthcare data. Have you fulfilled the mandatory encryption and access logging requirements required by regulations? If a compliance auditor comes in and finds basic access logs missing, fancy deception tools won't shield you from fines whatsoever.

EEbru O***Member
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#10

This is exactly what we experienced. If you scold false alarms nobody will report again.

If I were you, I'd go this route.

CCem I***MemberCommunity member
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#11

I've been dealing with this for a long time. Just because everyone does it doesn't mean it's right.

This is my opinion, I'm not claiming it's absolute truth.

EErcan Ç***Member
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#12

I'd say don't rush. When making a decision, first look at what data you have on hand.

If permission and scope aren't in writing don't start that test.

VVildan Ş***Member
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#13

The answer above hits the nail on the head. Security isn't absolute; it's about making attacks not worth the effort.

Hope this helps.

OOsman K***VeteranCommunity member
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#14

we've heeard this a lot but it never happened like that for us. anyway if you get three different answers on a topic the question was asked wrong.

CCeren E***MemberCommunity member
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#15

Thanks a lot, I'll try it today.

BBurak A***Expert
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#16

There are three things to check when doing this. Security isn't absolute; it's about making attacks not worth the effort.

DDeniz I***Member
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#17

How did you solve this? Security isn't absolute; it's about making attacks not worth the effort.

If you post the result here it will help others too.

NNeslihan T***MemberCommunity member
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#18

I went through the same thing two years ago. When making a decision, first look at what data you have on hand.

Good luck with that.

CCanerMember
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#19

Let me clarify the technical side. Solutions that work at a small scale collapse when you grow; I learned this late.

When making decisions, write down the worst-case scenario too, not just the best. If I were you, I'd go this route.

MMurat Z***Member
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#20

noted thanks.

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