Latest / Cybersecurity Business with Fexingo: Security Companies, Breaches, and Enterprise Defense / Why Security Teams Are Adopting Cyber Deception Grids
Transcript
- Lucas: So there's this idea that's been quietly gaining traction among security teams — especially the ones who are tired of losing — called cyber deception grids. Luna: I've heard the term. It sounds a bit like honeypots but... bigger? Lucas: Exactly. Honeypots have been around forever. One decoy server sitting in a corner, hoping someone touches it. But a deception grid is more like a whole fake layer of your network — fake data, fake credentials, fake shares, even fake Active Directory entries. The idea is to make the attacker think they've found the real thing, while you watch everything they do. Luna: And this is actually being deployed in production environments now? I mean, not just in research labs? Lucas: Yeah, more than you'd think. I was talking to a CISO at a mid-size financial services firm — about two billion in assets — and they put in a deception grid about eighteen months ago. They had all the usual prevention tools: endpoint detection, next-gen firewall, email security. But last quarter, a ransomware crew got in through a compromised VPN. They were inside for about six hours before the deception grid flagged them. Luna: What caught them? Did they try to log into a fake server? Lucas: Worse — they tried to use a stolen domain admin credential that the deception team had deliberately seeded in a fake file share. The credential looked real, it resolved to a fake domain controller, and the moment they authenticated, the grid triggered an alert. The security team had them contained before they could deploy the ransomware payload. Luna: So the deception grid essentially turned the attacker's own reconnaissance against them. Lucas: That's the core idea. Every attacker, before they do damage, spends time mapping the environment. They're looking for credentials, for data, for the crown jewels. If you can make them waste that time in a fake environment — and generate alerts while they do it — you buy yourself a detection window that prevention alone never gives you. Luna: And in that case, six hours? That's a pretty fast response. Most ransomware dwell times are measured in days, not hours. Lucas: Yeah, the median dwell time last year was something like eight days. So catching them in hours is a huge win. And the CISO told me the grid paid for itself in that one incident alone — because they didn't have to pay the ransom, they didn't have recovery costs, and the grid itself cost less than a single incident response retainer. Luna: That's a compelling ROI story. But I wonder — isn't there a risk that sophisticated attackers will recognize the deception? I mean, if they see a network share that looks too perfect, or credentials that are too easy to find, won't they just back off and try a different approach? Lucas: It's a real concern. The best deception grids are designed to look imperfect — they include realistic clutter, stale data, even intentional misconfigurations. The goal isn't to fool an analyst who's looking for honeypots; it's to fool an attacker who's moving fast and looking for an easy path. Most ransomware crews are not nation-state actors. They're using automated tools that scan for open shares and try every credential they find. A well-placed fake credential will get used. Luna: So it's more about volume and speed than perfect disguise. Lucas: Exactly. And the vendors in this space — there are maybe a handful that do it well — they've gotten really good at making the deception blend in. They integrate with your actual Active Directory, so the fake users have realistic attributes. They use your actual naming conventions. Some even create fake email inboxes with recent-looking threads. Luna: That's almost creepy. But I can see how it would be effective. What about the operational burden? I imagine setting up a deception grid isn't trivial. Lucas: It's gotten easier. The newer platforms are mostly agentless — they sit on top of your existing infrastructure and deploy fake assets using APIs. You don't need to spin up a hundred virtual machines. Some can be configured in a few days. The bigger challenge is maintaining the realism over time. If you deploy fake data in January and it's still sitting there in July with no changes, an attacker might notice. So you need automation to rotate and update the deception content. Luna: Which means there's a recurring cost, either in tooling or in staff time. Lucas: Right. But compared to the cost of a breach — which for a mid-size company can run into the tens of millions — it's negligible. The firm I mentioned spends about forty thousand a year on their grid, including the license and a couple of hours a week from a security engineer. That's less than what they spend on coffee. Luna: And that's the kind of math that makes CISOs pay attention. But is deception a replacement for other tools, or is it really just another layer? Lucas: It's definitely additive. No one is saying 'throw away your EDR.' But there's a growing recognition that prevention eventually fails — and detection needs to be faster and more reliable. Deception gives you detection that's very low false-positive, because any interaction with a fake asset is almost certainly malicious. That's a big deal for security teams drowning in alerts. Luna: So fewer alerts, but the ones you get are high confidence. Lucas: Exactly. And because the attacker is engaging with your decoy, you can see their tools, their techniques, even their command and control infrastructure. That intelligence can be fed back into your defenses. Luna: Which brings up an interesting point — is there a legal or ethical boundary here? You're essentially baiting attackers. Could that ever backfire? Lucas: It's a grey area, but most legal teams are comfortable as long as the deception stays within your own network. The moment you try to engage back — like letting them exfiltrate data to track them — you cross into potential entrapment or liability. The industry standard is passive observation within your own environment. You don't let them take anything real, and you don't interact with them outside your perimeter. Luna: That makes sense. So for a security team that's considering this, what would you say is the first step? Lucas: Start small. Pick a critical segment — maybe your domain controllers or your file servers — and deploy a few deception credentials or a fake network share. See how it works in your environment. The vendors usually offer a pilot for thirty days. You'll be surprised how quickly something gets triggered. Luna: And if nothing gets triggered? Does that mean you're safe? Lucas: It could mean you're not being targeted yet, or it could mean your deception isn't convincing enough. But either way, it's a relatively inexpensive way to find out if someone is already in your network. And that alone is worth the pilot. Luna: Yeah, I think that's a pretty strong argument. And it's something that smaller teams can actually try without a huge upfront investment. Lucas: Absolutely. And that's the kind of thing we like to highlight on this show — practical moves that operators and builders can actually use. Luna: Speaking of which — if these conversations are useful for what you're building or running, a handful of listeners chip in monthly through buy me a coffee dot com slash fexingo. And that's literally what funds making this many of these. Lucas: Yeah, it's a small group that keeps it going. No ads, no sponsors. Just people who find value and want to keep it that way. Luna: So back to deception grids. One thing I want to understand — how do you prevent false positives from your own IT staff? They might accidentally stumble into a decoy. Lucas: Good question. Most platforms let you exclude known-good accounts or IP ranges. You can also tag decoys in a way that internal tools can recognize them — like a special prefix in the file name or a specific attribute in Active Directory. The key is to document it and train your help desk. But in practice, false positives from internal users are rare because the decoys are placed in locations that normal users wouldn't access — like backup folders or old admin shares. Luna: So you're essentially setting traps in the parts of the network where only attackers would go. Lucas: Exactly. And because the decoys are designed to look attractive — like a file called 'passwords_2026.xlsx' or a folder named 'Q3_Financials' — they're more likely to be targeted by an attacker than by an employee doing their job. Luna: That's clever. And it ties into the broader shift we're seeing in security — from purely prevention-focused to detection and response. Lucas: Right. The old model was 'build a higher wall.' But attackers keep finding ways over, under, or through. Deception is one of those approaches that says, 'Fine, come in — but we'll be watching.' Luna: And watching with a lot less noise than traditional detection tools. Lucas: Exactly. So if you're a security leader and you haven't looked at deception yet, it might be worth a pilot. Especially now, when ransomware is as aggressive as it's ever been. Luna: Good note to end on. Thanks, Lucas. Lucas: Thanks, Luna.