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
  • 08:01:43GIT144.126.206.247DiscoveryGit other action: ls-remote
  • 08:01:43GIT144.126.206.247DiscoveryGit other action: ls-remote
  • 08:01:43GIT144.126.206.247DiscoveryGit clone request against bare repo
  • 08:01:43GIT144.126.206.247ExecutionGit push request
  • 08:01:43MySQL165.22.217.120Credential AccessMySQL login attempt: user root
  • 08:01:43TFTP210.206.2.73ExecutionTFTP write attempt: dropper.bin
  • 08:01:43MSSQL146.190.128.199Credential AccessMSSQL Login (Win auth) failed
  • 08:01:43MySQL146.190.128.199Credential AccessMySQL login attempt: user root
  • 08:01:43MySQL146.190.128.199Credential AccessMySQL login attempt: user root
  • 08:01:43VNC146.190.128.199Credential AccessVNC login attempt: password auth
  • 08:01:43MySQL211.57.201.54Credential AccessMySQL login attempt: user root
  • 08:01:43IMAP211.57.201.54ExecutionIMAP session established
  • 08:01:43POP3211.57.201.54DiscoveryPOP3 command: STAT
  • 08:01:43POP3211.57.201.54Credential AccessPOP3 login attempt: user [email protected]
  • 08:01:43POP3211.57.201.54DiscoveryPOP3 command: STAT
  • 08:01:43NTP195.133.50.100DiscoveryNTP request (monlist-like behavior)
  • 08:01:43MSSQL165.245.133.152Credential AccessMSSQL Login (Win auth) failed
  • 08:01:43IMAP165.245.133.152Credential AccessIMAP login attempt
  • 08:01:43Memcached165.245.133.152ExecutionMemcached stats command observed
  • 08:01:43Memcached165.245.133.152ExecutionMemcached stats command observed
  • 08:01:43HTTP159.89.15.187Credential AccessHTTP POST login attempt: /api/auth/login
  • 08:01:43SSH159.89.15.187Credential AccessSSH login attempt: user "root" failed
  • 08:01:43HTTP159.89.15.187ExecutionFile uploaded via multipart POST
  • 08:01:43LDAP154.83.14.191Credential AccessLDAP login attempt
  • 08:01:43FTP154.83.14.191DiscoveryFTP rename action: tmp.bin -> payload.bin
  • 08:01:43Elasticsearch154.83.14.191DiscoveryElasticsearch index enumeration request
  • 08:01:43SNMP154.83.14.191DiscoverySNMP trap emitted
  • 08:01:43Telnet165.227.153.225Initial AccessTelnet new connection
  • 08:01:43SSH165.227.153.225Credential AccessSSH login attempt: user "root" failed
  • 08:01:43SSH165.227.153.225Credential AccessSSH login attempt: user "root" failed
  • 08:01:43SSH165.227.153.225ExecutionSSH session started with suspicious TTY activity
  • 08:01:43HTTPS164.92.223.129Initial AccessHTTPS request for restricted endpoint
  • 08:01:43MQTT164.92.223.129ExecutionMQTT CONNECT request received
  • 08:01:43NTP144.126.228.164DiscoveryNTP request (monlist-like behavior)
  • 08:01:43SIP144.126.228.164DiscoverySIP request (INVITE/OPTIONS)
  • 08:01:43SMPP144.126.228.164ExecutionSMPP submit_sm command attempt detected
  • 08:01:43SMPP159.89.27.129Credential AccessSMPP credential validation failure observed
  • 08:01:43HTTPS159.89.27.129Initial AccessHTTPS probing uncommon paths
  • 08:01:43HTTP159.89.27.129ExecutionFile uploaded via multipart POST
  • 08:01:43SSH210.187.49.191Lateral MovementSSH tunnel attempt detected

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