Early breach detection
with high-interaction deception

Deploy decoys in minutes. Detect intrusion earlier, reduce alert noise, and investigate suspicious access faster.

  • High-interaction decoys across 30+ protocols
  • Correlated attacker sessions with MITRE ATT&CK context
  • Actionable alerts for faster triage
SIEM-readyLow-noise telemetryKubernetes / Cloud / Hybrid
NeroSwarm Telemetry Stream
Live events • correlation-ready • SIEM/SOAR-friendly
MTTD 02m 10s
False Positives 0.5%
Coverage 95%
Live Events
EgressSIEM / SOAR
  • 05:01:43SMB116.110.154.212DiscoverySMB negotiate protocol request
  • 05:01:43PostgreSQL13.52.177.180Credential AccessPostgreSQL login attempt: user postgres
  • 05:01:43SNMP27.79.0.181DiscoverySNMP request (public community)
  • 05:01:43FTP27.79.0.181ExecutionFTP delete attempt: cleanup.log
  • 05:01:43SSH27.79.0.181ExecutionSSH session started with suspicious TTY activity
  • 05:01:43Memcached27.79.0.181ExecutionMemcached write/flush command attempt
  • 05:01:43MongoDB146.190.171.133DiscoveryMongoDB request: listDatabases
  • 05:01:43MongoDB146.190.171.133Credential AccessMongoDB login attempt
  • 05:01:43MongoDB146.190.171.133Credential AccessMongoDB login attempt
  • 05:01:43HTTP159.203.111.120Initial AccessHTTP GET suspicious path: /admin/.git/config
  • 05:01:43HTTPS159.203.111.120Credential AccessHTTPS login submission attempt
  • 05:01:43HTTPS159.203.111.120Initial AccessHTTPS probing uncommon paths
  • 05:01:43HTTPS159.203.111.120Credential AccessHTTPS login submission attempt
  • 05:01:43HTTPS159.203.111.120Initial AccessHTTPS probing uncommon paths
  • 05:01:43NTP64.227.32.135DiscoveryNTP request (monlist-like behavior)
  • 05:01:43SMB64.227.32.135DiscoverySMB negotiate protocol request
  • 05:01:43NTP64.227.32.135DiscoveryNTP request (monlist-like behavior)
  • 05:01:43MQTT207.154.233.29Credential AccessMQTT auth attempt with invalid credentials
  • 05:01:43MQTT207.154.233.29Credential AccessMQTT auth attempt with invalid credentials
  • 05:01:43K8sAPI165.227.232.72ExecutionKubernetes workload create/exec attempt detected
  • 05:01:43DockerAPI165.227.232.72DiscoveryDocker API version/container list request observed
  • 05:01:43RDP209.38.27.238Initial AccessRDP request received
  • 05:01:43MQTT165.232.104.227ExecutionMQTT publish attempt on restricted topic
  • 05:01:43MQTT165.232.104.227ExecutionMQTT CONNECT request received
  • 05:01:43Telnet209.38.122.90Credential AccessTelnet login attempt: admin/admin
  • 05:01:43Telnet209.38.122.90Credential AccessTelnet login attempt: admin/admin
  • 05:01:43SSH209.38.122.90ExecutionSSH session started with suspicious TTY activity
  • 05:01:43K8sAPI209.38.122.90DiscoveryKubernetes resource listing request detected
  • 05:01:43K8sAPI209.38.122.90Initial AccessKubernetes API unauthenticated request observed
  • 05:01:43DockerAPI209.38.122.90ExecutionDocker container create/start attempt detected
  • 05:01:43TFTP209.38.122.90DiscoveryTFTP request observed
  • 05:01:43Telnet217.154.69.208Credential AccessTelnet login attempt: admin/admin
  • 05:01:43SSH217.154.69.208ExecutionSSH session started with suspicious TTY activity
  • 05:01:43POP31.201.164.58DiscoveryPOP3 request issued
  • 05:01:43DNS20.56.82.62DiscoveryDNS query: suspicious subdomain enumeration
  • 05:01:43DNS20.56.82.62DiscoveryDNS request incoming
  • 05:01:43HTTP20.56.82.62ExecutionFile uploaded via multipart POST
  • 05:01:43HTTPS20.56.82.62Initial AccessHTTPS probing uncommon paths
  • 05:01:43HTTPS8.154.1.148Initial AccessHTTPS probing uncommon paths
  • 05:01:43HTTPS8.154.1.148Initial AccessHTTPS probing uncommon paths

This is a simulated telemetry stream for design demonstration purposes.

Recognition

Recognized by industry leaders

Momentum across leading cloud and security programs.

  1. Selected for the Cybersecurity Accelerator
    AWS · CrowdStrike · NVIDIA
  2. Joined the NVIDIA Inception Program
    Program member
Cybersecurity AcceleratorAWS · CrowdStrike · NVIDIA
Cohort 2025
NVIDIA InceptionInception Program member
2026 member

Get started with NeroSwarm Honeypot

Deploy NeroSwarm to cut alert fatigue and gain real-time visibility into active intrusion attempts.

Intelligent Deception for Active Defense

Launch deception campaigns with pre-built templates to detect threats faster,
using hardware appliances or containerized decoys.

NeroSwarm Honeypot dashboard preview

Emulate Key Protocols and Any Device with Deception

Our AI-powered honeypot platform emulates real protocols and real devices, from Windows and Linux hosts to services like SSH, RDP, LDAP, Redis, PostgreSQL, MongoDB, HTTPS, and more.

With instant alerting, your integrated channels notify you the moment a threat actor interacts with a decoy.

NeroSwarm Honeypot dashboard Analytics feature

Comprehensive Dashboard and Insights

Our platform provides a clear dashboard with analytics to track activity across every deployed honeypot and surface high-signal attacker behavior.

Beyond detection, the data helps you map adversary techniques and spot repeatable patterns. We also integrate with common SIEMs via automated log shipping for seamless correlation.

NeroSwarm Honeypot dashboard Analytics feature

Cyber Deception at Any Scale

Full visibility and stronger coverage at scale. An end-to-end platform in one place.

Early Intrusion Detection

Decoys detect attackers before real damage occurs, giving you time to respond with confidence.

Customizable Decoys

Create decoys that match your environment to attract targeted activity and expose attacker intent.

Operator-Friendly Dashboard

Easily manage your honeypots and view real-time threat activity through our intuitive dashboard.

Secure Networks with AI Honeypots

Our decoys use AI to mimic real systems, increasing detection depth while lowering operational risk.

Instant Notifications

Receive real-time notifications and alerts as soon as a threat actor engages with your honeypot.

CVE-Mapped Templates

Choose templates mapped to CVEs to emulate known exposures and lure realistic exploitation.

Layered Deception Defense

Deploy multiple decoys across your network to create layered coverage against intrusion and movement.

Realistic Services and Signals

Emulate real services and signals to attract authentic attacker behavior and strengthen detection fidelity.

High-signal alerts.
Every hit is a strong indicator of intrusion.

Get a live demo and see cyber deception in action within 45 minutes.

Unify Deception and Detection

Connect NeroSwarm to SIEM, XDR, and SOAR tools for advanced threat correlation.

Don't see the integration you need?

Deception Technology, Done Differently

We turns deception into an evidence pipeline that captures attacker intent, enriches context, and speeds up response.

Beyond bait and alert A deception first security model built for SOC operations.

Traditional deception often stops at an alert. NeroSwarm turns attacker interaction into strong telemetry you can trust with normalized fields, linked sessions, and output aligned with analyst triage.

Signal over noise
Every decoy hit is treated as a meaningful indicator, enriched into context your SIEM/XDR can correlate.
Controlled interaction
High interaction behavior is bounded by design and captures intent without exposing production assets.
Operator ready output
Telemetry is structured for investigation workflows with session linked events, consistent fields, and ATT&CK context.
Evidence ready contextEach interaction includes timeline, intent, and fields built for investigation.
Built for scaleUnified telemetry keeps quality consistent as deception coverage grows.
OutcomeFaster triage with fewer false positives because deception events carry stronger confidence by nature.

Traditional deception

Often optimized for tripwires and alerting, but it leaves analysts with limited context.

  • High alert volume with uneven confidence
  • Weak session narrative across events
  • Harder to operationalize in SOC workflows
  • Alerts show presence but not behavior
  • Analysts do not get a full attacker session story

NeroSwarm deception first

Designed to produce evidence quality telemetry with linked sessions, normalized fields, and strong correlation value.

  • Every interaction carries strong confidence by nature
  • Controlled engagement exposes attacker intent
  • SOC ready output for SIEM/SOAR
ResultCleaner detections, faster triage, and less time wasted on low signal noise.

Learn more about our unique approach to Cyber Deception