Every attacker touch becomes a signal.
Lokimesh orchestrates high-fidelity decoys, breadcrumbs, and human-layer defenses across IT, OT, IoT, and cloud — turning the asymmetry of attack into measurable detection for the SOC.
- Minutes
- from rollout start to live decoys — AI-assisted, not hand-built.
- <0.1%
- false positives — legitimate users never touch a decoy.
- 0
- production systems touched — isolated decoy fabric by design.
A single control plane for enterprise-grade deception.
Deceive to Detect.
Centralized orchestration for enterprise-grade deception. Deploy, operate, and retire high-fidelity decoys across IT, OT, IoT, and cloud — all from a single control plane.
- 01ProvisionStand up high-fidelity decoys across cloud, OT, IoT.
- 02OperateRun breadcrumbs, lures, and digital twins from one console.
- 03DetectEvery touch is a high-confidence signal — enriched in flight.
- 04RetireDecommission cleanly with full audit trail and no residue.
Eight pillars across the attack surface
Full decoy lifecycle
Provision, configure, monitor, and decommission traps and lures from a unified console — with role-based access and a full audit trail.
High-fidelity emulation
SSH, FTP, SMB, SMTP, HTTP(S), DNS, SNMP, Modbus, MQTT, SCADA, NAS, VoIP, medical, and banking systems; cloned sites and digital twins for production realism.
AI-assisted deployment
AI-powered suggestions propose names, templates, and content that blend into each environment — rollout drops from days to minutes.
Breadcrumbs & lures
Cloud keys, fake credentials, documents, databases, API keys, and files distributed across endpoints to lead adversaries toward the traps.
Real-time detection & enrichment
Every interaction is captured, deduplicated, correlated across sources, enriched with attacker metadata, and classified by severity.
SIEM & SOC ready
Native integration with existing alerting workflows.
Threat intelligence built-in
Pattern detection for SQLi, XSS, command injection, reverse shells, and path traversal on every decoy touchpoint.
Network-safe by design
Strict IP pool validation, conflict detection, and isolated decoy fabrics prevent any impact on production assets.
From decoy touch to SOC ticket in under a second
- Near-zero false positives
- Legitimate users have no reason to touch a decoy. Every hit is a signal.
- Early-stage detection
- Catch reconnaissance, lateral movement, and credential abuse before exfiltration.
- MITRE Engage aligned
- Engineered around recognized deception doctrine, not ad-hoc honeypots.
- Low SOC overhead
- Enriched, deduplicated alerts instead of noise — analysts focus on real threats.
Make the network a trap,
not a target.
- 01
Plant the mesh
You deploy decoys and scatter breadcrumbs across IT, OT, and cloud. AI blends them into your naming, your content, your noise — minutes, not days.
- 02
It waits. Silently.
No agents on production, no tuning, no dashboard demanding your attention. Legitimate users have no reason to touch a decoy, so nothing fires until something is wrong.
- 03
One enriched alert
An attacker touches a decoy and betrays themselves. Your SIEM receives one deduplicated alert with attacker metadata attached — not a thousand maybes.
Adaptive traps
Triggered decoys morph into new shapes — keeping adversaries engaged while you gather intelligence.
Counter-attack ready
Defensive countermeasures fire on detection, neutralizing intent before damage propagates.
Real-time alerts
Structured notifications the moment a trap fires, enriched with breach context.
A deception fabric,
not another honeypot.
Most tools stop at a static trap or guard a single surface. Lokimesh unifies the whole attack surface — and the human layer — into measurable, SOC-ready signal.
- Legacy honeypots
Static traps
- Fixed and easily fingerprinted by a skilled attacker.
- Manual to stand up and maintain, decoys go stale.
- Usually one network segment; most networks stay dark.
- Raw hits with no enrichment
- Point solutions
One surface at a time
- Cover a single slice — network or cloud or email.
- Bolt-on telemetry that rarely correlates across the stack.
- Deploy once, then drift out of step with the estate.
- Blind to the strategy, where the breach actually starts.
- Lokimesh
A unified deception fabric
- One control plane across IT, OT, IoT, and cloud.
- AI-assisted rollout — days down to minutes.
- Decoys, breadcrumbs, and strategies in a platform.
- Enriched, deduped alerts at under 0.1% false positives.
- Aligned with MITRE Engage doctrine, not ad-hoc traps.
Deception doctrine, end to end.
- 01Expose
Lures, honeytokens, and planted credentials draw out attacker presence the moment they move.
- 02Affect
Decoys slow the adversary and feed false intelligence — buying the SOC time to respond.
- 03Elicit
Interaction traps reveal real TTPs: the credentials used, the paths taken, the tools run.
- 04Understand
Every touch flows back as enriched, SIEM-ready signal that sharpens your threat intelligence.
Alerts land where your SOC already works.
No new console to babysit. Enriched, deduplicated decoy alerts stream natively into your existing SIEM and alerting workflows.
Close the human-layer gap,
one platform, two intercepts.
Train teams on attacks indistinguishable from the real thing, then shield them in real time. Together, training and protection form a comprehensive human-firewall posture.
Social Deception
Build a resilient security culture by training employees through realistic phishing simulations. AI-generated emails and landing pages mirror real-world attacks, helping users recognize and resist social engineering before they become victims.
- AI-powered phishing simulations
- Realistic training scenarios
- Behavioral analytics and reporting
- Automated campaign management
Human Firewall
Shield your organization with a unified platform that intercepts AI data leaks, phishing attacks, password vulnerabilities, and uncontrolled web access. Real-time detection works invisibly in the background — active on risk, dormant on good behavior.
- AI Data Loss Prevention (PromptFW)
- AI-powered phishing protection
- Smart password management
- Website access control
The questions skeptics ask.
Deception has an image problem inherited from honeypots. Fair enough — here is exactly where those doubts do and don't apply.
Isn't this just a honeypot?
Honeypots are the ancestor, and we won't pretend otherwise. The difference is operational: a honeypot is one static trap you build and babysit by hand. Lokimesh is a fabric — decoys, breadcrumbs, and lures deployed across IT, OT, IoT, and cloud, with lifecycle management, alert enrichment, and SIEM routing built in. If a honeypot is a mousetrap, this is coverage for the whole building.
Won't attackers fingerprint the decoys?
Some will try, and a skilled adversary may occasionally succeed. Here's the part that matters: to fingerprint a decoy, an attacker has to touch it — and the touch is the alert. Even a burned decoy has done its job, because you now know someone is inside your network probing carefully enough to check.
Are we mature enough for deception?
The maturity myth comes from honeypot-era tooling that needed a dedicated engineer. Decoys deploy in minutes with AI-assisted blending, and because legitimate users have no reason to touch them, alerts are rare and high-confidence. That makes deception one of the lowest-overhead detection layers a small team can run — not a capstone for large ones.
Will decoys put production at risk?
No. Decoys run in isolated fabrics with strict IP-pool validation and conflict detection, so they cannot collide with real assets. Nothing is installed on production systems — breadcrumbs are inert files and credentials that only matter if someone steals them.
Do we have to replace our SIEM or EDR?
No — Lokimesh complements them. EDR watches real endpoints for suspicious behavior; a decoy has no legitimate behavior at all, so any interaction is signal. Alerts arrive enriched and deduplicated in Splunk, Sentinel, QRadar, Chronicle, or wherever your SOC already works.
What don't you do?
We don't run machine-learning anomaly detection over your production traffic, and we won't flood your SOC with probabilistic "maybes". AI here is used to make decoys blend into your environment — not to guess at intent. A decoy is either touched or it isn't.
Talk to the team.
Tell us about your environment. We will respond within one business day.
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