Latest / Cybersecurity Business with Fexingo: Security Companies, Breaches, and Enterprise Defense / Why Security Teams Are Using Cyber Deception Traps
Transcript
- Lucas: Let me tell you about a phishing email that saved a company from ransomware. Luna: That's a twist — usually phishing is the thing that causes the ransomware. Lucas: Right, except in this case the phishing email was sent by their own security team to bait an attacker who was already inside their network. Lucas: They planted a fake credential reset link that looked like it came from IT, and when the attacker clicked it, the security team knew exactly which workstation was compromised. That's deception — actively using traps and lures to catch adversaries. Luna: Okay, so this is the world of honeypots and deception grids. I know the concept has been around for a while, but it feels like it's really taking off in the last couple of years. Lucas: It is. The market for deception technology was about one point two billion dollars in 2025, and it's growing at about 18 percent compound annual growth rate. More CISOs are adding it to their stack alongside EDR and SIEM. Lucas: And before we go deeper, if this conversation is useful for what you're building or running, that's exactly why we do this show. And what keeps it ad-free and independent is listener support. You can find us at buy me a coffee dot com slash fexingo — all lowercase. It's how we keep bringing you episodes like this without sponsorship noise. Luna: Yeah, and it genuinely helps. We hear from people who say they learn something they can apply the same week. Lucas: So back to the trap. The attacker in that case had been lurking for about 12 days, doing reconnaissance. They'd scanned the network, enumerated users, but hadn't escalated privileges yet. Lucas: The SOC team set up a low-interaction honeypot — basically a fake server that mimics a real one, but with zero production value. They populated it with decoy documents labeled 'passwords.txt' and 'budget_2026.xlsx'. The attacker took the bait within hours. Luna: So the honeypot acted like a tripwire. The moment the attacker touched it, the SOC knew exactly which IP and which user account was compromised. Lucas: Exactly. And from there they kicked off incident response before the attacker could deploy ransomware. The company estimated they saved about three million dollars in potential downtime and recovery costs. Luna: I want to ask about the legal side. Isn't there a concern that baiting an attacker could be seen as entrapment or violate some wiretap laws? Lucas: It's a fair question, and it comes up a lot. In the United States, deception is generally legal as long as you're monitoring your own network. The key legal framework is the Computer Fraud and Abuse Act and case law around the 'consent of the network owner'. Lucas: Deception tools are considered a form of active defense, not offensive hacking. As long as you don't hack back — meaning you don't attack the attacker's infrastructure — you're in the clear. That said, the Electronic Frontier Foundation has raised concerns about third-party deception as a service providers that might inadvertently collect data on innocent users who stumble into a honeypot. Luna: Right, so there's a difference between a server within your own network and a cloud-based honeypot that could be accessed by anyone. Lucas: Exactly. That's why most enterprises deploy deception internally. They create a 'deception grid' that sits alongside real assets — fake databases, fake Active Directory servers, fake file shares. The decoys are indistinguishable from real ones to an attacker, but any interaction with them is automatically malicious because legitimate users have no reason to touch them. Lucas: A 2025 case that really put this on the map was a European bank that used a high-interaction honeypot to catch a state-sponsored group. The honeypot was a full Linux server with fake banking transaction data. The attackers spent about 45 minutes inside, running commands, downloading tools, even setting up a persistent backdoor. Luna: And the bank let them stay that long? That seems risky if the attackers pivot from the honeypot to real assets. Lucas: That's the critical design principle — segmentation. The honeypot must be isolated from production networks. In the bank's case, they used a separate VLAN with strict egress filtering. The attackers couldn't reach real systems from the honeypot. But the SOC got a full playbook of the TTPs — the tactics, techniques, and procedures — which they used to harden their defenses. Luna: So high-interaction honeypots are essentially sandboxed environments where you let the attacker do their thing and you learn from it. Lucas: Right. Low-interaction are simpler — just a few services like SSH or RDP that log connection attempts. High-interaction are full OSes with fake data. The tradeoff is maintenance. High-interaction requires more engineering time to keep the decoys updated and realistic. Lucas: There's also a newer category called deception as a service. Companies like Attivo Networks and Illusive Networks offer pre-built deception grids that integrate with your existing SIEM. You can spin up decoys with a few clicks. Luna: And how do you measure effectiveness? Is it just time to detection? Lucas: That's one metric. Another is 'dwell time reduction' — the time between initial compromise and detection. In the healthcare case I mentioned, dwell time went from an average of 72 days down to about 4 hours for attacks that hit a honeypot. Lucas: But there's also a psychological component. Attackers start to doubt every system they touch. If they hit a decoy, they might assume everything is a trap and retreat. That's a deterrent effect that's hard to quantify but real. Luna: I've also heard of organizations using fake credentials in active directory — like a decoy admin account with a weak password — so if someone tries to use it, you know they're malicious. Lucas: Yes, that's a classic. 'Honeytokens' — fake records like credit card numbers, API keys, or database entries that trigger an alert when accessed. They're cheap to deploy and very effective. One company put a honeytoken in a configuration file that looked like a database connection string. The moment an attacker used it to try to connect, the SOC got an alert. Lucas: The challenge is scale. If you have thousands of servers, you need to decide where to place decoys. Most vendors recommend placing them in areas where attackers typically go after initial foothold — file shares, domain controllers, and HR systems. Luna: It feels like deception turns the asymmetry of cyber defense on its head. Usually the attacker has the advantage of surprise. Now the defender gets to set the trap. Lucas: Exactly. And as more companies adopt it, I think we'll see attackers adapt — they'll start fingerprinting honeypots by looking for telltale signs like missing user activity logs or overly responsive services. So the deception teams will need to evolve their decoys. Lucas: But for now, it's one of the most promising tools in the defender's kit. I'd rather an attacker hit a fake server than a real one. Luna: I think that's a good place to leave it. Thanks, Lucas.