Set Traps for Attackers — Catch Threats With Zero False Positives
Deception technology deploys decoy assets — fake servers, honeypot credentials, deceptive files, and fictitious accounts — that have no legitimate business purpose. Any interaction with deception assets is a high-fidelity indicator of compromise, delivering threat detection with near-zero false positives.
What RLM Delivers on Deception Technology
Deception technology is one of the highest signal-to-noise security investments available — any alert is genuine because legitimate users have no reason to interact with decoys. RLM advises on deception platform selection, deployment strategy, and integration with incident response workflows.
How We Approach Deception Technology
Every Deception Technology engagement starts with what you have today and ends with something running in production — with independent evaluation in between.
Deception Strategy & Use Case Design
We define the deception strategy — which attack scenarios to detect (lateral movement, credential theft, ransomware staging), what types of decoys are most effective in your environment, and the coverage that maximizes detection value.
Platform Evaluation
We evaluate deception platforms — Attivo Networks (SentinelOne), Illusive Networks, Cameleon Security, and honeypot infrastructure — against your environment, deployment complexity, and integration requirements.
Decoy Deployment Architecture
Effective deception requires decoys that are indistinguishable from legitimate assets and placed in the paths that attackers traverse. We design the deception deployment — breadcrumb strategy, decoy placement, and the environment authenticity that makes decoys convincing.
Response Integration
Deception alerts are high-fidelity — they should trigger immediate, assertive response. We design the SOAR integration that automates initial containment and investigation actions upon deception detection.
Deception Technology Evaluation Criteria
What follows is the Deception Technology evaluation checklist we actually use — the criteria that predict outcomes rather than demo well.
Decoy Authenticity
Deception only works if attackers believe decoys are real. Evaluate the platform's ability to create convincing decoys that match your environment — using real operating system images, authentic-looking credentials, and environment-specific naming conventions.
Breadcrumb Distribution
Breadcrumbs (fake credentials, fictitious share paths, deceptive tokens) planted on real systems guide attackers toward decoys. Evaluate breadcrumb generation quality and the deployment mechanism that plants them on real endpoints without impacting performance.
False Positive Rate
A primary advantage of deception is near-zero false positives — any alert means a real interaction with a decoy. Evaluate whether the platform maintains this advantage in your environment — particularly for automated processes that might trigger decoys.
Maintenance Overhead
Deception environments require ongoing maintenance as real infrastructure changes. Evaluate the operational overhead of keeping decoys current — authenticity degrades if decoys fall out of sync with the real environment.
Detection Coverage Gaps
Deception is excellent for lateral movement detection but covers fewer attack scenarios than SIEM or EDR. Evaluate deception as a complement to, not replacement for, other detection controls — specifically the attack phases where deception provides unique value.
Integration with Threat Intelligence
Deception assets can be used as threat intelligence collection points. Evaluate the platform's ability to collect attacker TTPs, tools, and infrastructure data from decoy interactions — converting detections into actionable intelligence.
"We had three overlapping security tools doing the same job. RLM helped us rationalize the stack, cut spend by 30%, and actually improve our detection coverage in the process."
No upfront fees, no retainer, and no obligation to act on what we find.
Where This Matters Most
Sector-specific considerations we see repeatedly in security engagements.
A Sample of the Security Providers We Evaluate
RLM is vendor neutral. These are among 600+ providers in our evaluation set — inclusion here is not an endorsement, and we are paid by the provider you choose, not by any provider in particular. How that works →
Ready to Get Deception Technology Right?
Start with a no-cost conversation with an RLM security advisor — vendor neutral, no agenda, just clarity on where your gaps are and the right path to close them.
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