Early Warning Detection

High-Fidelity Detection
At Cloud Scale

We enable organizations to deploy early-warning honey tokens and resources at scale to catch adversaries before they pivot deeper.

DeceptiQ Platform

Most Organizations Struggle to Deploy Deception Technology at Scale

Existing deception solutions don't provide the primitives, token catalog, automation, and tooling needed for deployment at scale. They require dedicated security engineers to own and maintain, made harder by architectural limitations and API rate limits, ultimately preventing widespread adoption.

For organizations already running deception technology: did it actually catch your last red team engagement?

292

Days to identify breaches

IBM Cost of Data Breach 2024

79%

Attacks are malware-free

CrowdStrike 2025

57%

Breaches discovered externally

Mandiant M-Trends 2025

When Deception Technology Works, It Works Immediately

During red team engagements, we rarely saw deception technology deployed. When we did encounter it, blue teams detected us immediately. The difference: digital assets that have no legitimate purpose trigger alerts the moment adversaries interact with them. No behavior analysis. No baselines. Just definitive detection.

We built DeceptIQ to provide the detection capability we wish every organization we compromised had in place.

Book a Demo

The Attack Is The Alert

Traditional detection relies on inference. Observe behavior, compare to baseline, alert on deviation. This produces false positives. Early warning honey tokens eliminate inference. Credential validation is the indicator. There's no behavior to baseline, no threshold to tune. Someone attempted authentication with a credential that should never be used. That's your signal.

Zero False Positives

Every alert is definitive proof of unauthorized access. No behavior baselines to tune. No thresholds to configure. Credential validation is the signal. Early warning at the point of credential validation, before any damage.

Sub-10 Second Detection

From credential validation to alert in under 10 seconds. Real-time monitoring with complete attack timeline and full context. Timestamp, source IP, authentication details. Automatic correlation into incidents with full relationship mapping.

15+

Token Types

25M+

Tokens Per Day

<10s

Detection Time

DeceptIQ: Building Your Market

We built and maintain the infrastructure for early warning detection at scale. Token generation infrastructure, isolated providers that prevent fingerprinting, lifecycle management across ephemeral and persistent credentials, programmatic deployment into dynamic infrastructure, real-time monitoring and alerting. This is the operational burden that prevents adoption.

Platform Overview

Isolated Infrastructure

Every token deploys from isolated infrastructure we manage. AWS credentials originate from thousands of accounts across different organizations. Federation tokens generate from distributed provider configurations. ECR tokens authenticate against separate registries.

No shared infrastructure to fingerprint. No correlation possible across token populations. Each credential appears legitimate because it originates from genuine provider infrastructure, infrastructure we monitor.

Automation at Scale

  • API enables programmatic token issuance at scale
  • Kubernetes operators deploy ephemeral tokens into pods automatically
  • CI/CD pipelines inject tokens into build environments
  • Generate millions of tokens daily if your deployment demands it

Common Questions
About Early Warning Honey Tokens

Schedule a 45 Minute
Demo with the Founder

See how early warning honey tokens catch adversaries before they pivot deeper

  • Get definitive breach detection in under 10 seconds-no false positives, no baselines to tune
  • See how to deploy deception at scale across your infrastructure without dedicated security engineers
  • Walk through a deployment scenario tailored to your environment and threat model