LIVE
Protocol Counts
Honeypot Severity Mix
Last 30 days
SMTP mail honeypot
SCADA/Modbus honeypot
Cloud metadata honeypot
TrapLayer Observatory
Threat intelligence from attackers who take the bait.
Better Actionable Intel from controlled deception infrastructure: public-safe research, block-ready IOC feeds, SIEM-ready telemetry, payload context, and AI-agent attack intelligence.
Live collection
Public-safe aggregate view
Prompt probes, autonomous browsing, tool misuse, and agent-like traffic patterns.
Metadata, `.env`, Terraform, kubeconfig, and CI secret hunting without real secrets.
Git, CI/CD, container registry, Kubernetes, and package registry reconnaissance.
SSH and SCADA/OT facades that reveal attacker intent while staying isolated.
Public-Safe Intelligence
Attack progression, without giving away the farm.
TrapLayer publishes enough signal to understand active behavior while keeping raw evidence, canaries, and restricted telemetry behind customer and operator gates.
Actor Signal
Loading Signal
Actor signal loads after page paint.
Live Attack Journey
Recent High-Risk Phases
Behavior Mix
Observed Phases
Email Threat Campaigns
Phishing And Malware Delivery Signals
No public email campaign cluster has crossed confidence threshold yet.
Fingerprints
Recurring Actors
Fingerprint ID
Subscribe to reveal
Recurring actor traits, confidence, risk, and recommended action are redacted.
Customer analytics
Source networks
Subscribe to reveal
Recurring actor traits, confidence, risk, and recommended action are redacted.
Customer analytics
Payload families
Subscribe to reveal
Recurring actor traits, confidence, risk, and recommended action are redacted.
Customer analytics
AI Attack Intelligence
Agent Behavior Signals
Last 30 days
AI-agent signal is loaded after the page shell is visible.
AI events0
Prompt attacks0
Tool abuse0
RAG/memory probes0
Tactics
Observed AI Patterns
No AI-agent attack signals yet0
Public vs Private
What This Observatory Shows
Public pages show enough signal to prove coverage and trends. Raw evidence, canaries, headers, payloads, and customer controls stay private.
Counts, severity, category, coarse geography, and sanitized event summaries.
JSON, STIX-style JSON, and SIEM CEF outputs with confidence and taxonomy fields.
Payloads, request traits, canary lineage, collector details, and operational notes.
Energy, SaaS, fintech, healthcare, legal, security, and DevOps-focused lure networks.
Why TrapLayer Wins
Better Actionable Intel built from live attacker behavior, not stale lists.
TrapLayer combines public observability with private customer telemetry from realistic lure companies, cloud traps, protocol collectors, canaries, and AI-agent bait. The result is intel that tells defenders what happened, why it matters, and what to do next.
Behavior-first deception intelligence
Purpose-built lures reveal what attackers try to do, which tools they use, what credentials they hunt, and which industry stacks they target.
- AI-agent, cloud, DevOps, email, SSH, SCADA, and database collectors
- Customer-specific dashboards, API keys, JSON feeds, and SIEM payloads
- Public-safe observatory plus private raw evidence controls
- Campaign-driven lure companies mapped to real-world industry profiles
Static indicators and delayed context
Most feeds center on IPs, hashes, domains, or retroactive enrichment. Useful, but often thin on attacker intent.
- Fast to ingest, but easy for attackers to rotate around
- Limited visibility into hands-on behavior and payload goals
- Usually detached from customer-specific lure campaigns
Signals without productized delivery
Standalone traps can catch noise, but often lack tenant controls, analyst workflows, billing, SIEM formats, and public proof.
- Harder to package for SOC teams and customers
- Often focused on one protocol instead of full attack journeys
- Less emphasis on clean reporting and human-readable value
| Capability | TrapLayer | Traditional feeds | Generic honeypots |
|---|---|---|---|
| Live attacker intent | Native | Limited | Partial |
| AI-agent lure coverage | Built in | Rare | Rare |
| Industry-specific campaigns | Energy, SaaS, fintech, healthcare, DevOps | Broad tags | Manual setup |
| Customer-ready feeds | JSON, SIEM, dashboards | Usually yes | Usually no |
| Public proof layer | Live observatory and reports | Marketing claims | Uncommon |
Last 30 days Activity
Daily bars are shown across 30 days for trend context.
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Threat Categories
Last 30 days
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Severity
Last 30 days
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Top Classifications
Last 30 days
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Top Lures
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Observed Client Families
Last 30 days
Derived from protocol behavior such as SSH handshakes, database probes, SMTP conversations, SCADA traffic, cloud paths, and meaningful HTTP user agents.
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Sanitized Evidence
Recent Anonymized Events
Latest public-safe events inside the configured window: Last 30 days
| Time | Type | Path | Category | Class | Severity | Risk | Summary |
|---|---|---|---|---|---|---|---|
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