Defensive technique

Honeytokens and decoy credentials

Data, credentials or identifiers created to generate a signal when someone accesses or uses them.

Research question

What use should trigger an alert and how is legitimate use ruled out?

Context and method

Definitions and technical considerations should be checked against the primary source. Atlas records are a selection tagged with this topic; a matching tag does not demonstrate operational outcomes.

Cross-reference

This topic across source types

These counts describe tagged Atlas records, not the worldwide number of studies or offerings.

Linked library

Associated records

59 tagged records
Paper2026

PHANTOM: Polymorphic Honeytoken Adaptation with Narrative-tailored Organisational Mimicry Contextually Convincing Cyber Deception at Scale

Material reviewed: Abstract

The paper presents PHANTOM, a framework that generates honeytokens by encoding organisation-specific knowledge (domain names, service naming conventions, technology-stack idioms and realistic secret-value distributions) into a multi-component pipeline. The authors formalise a four-component believability score and use it to compare PHANTOM against a template-based baseline.

HoneytokenDecoy
Paper2026

Calibrated Bait: Defensive Information Design under Adversarial Fingerprinting

Material reviewed: Abstract

The author models honeytokens as an information design problem followed by receiver information acquisition, where an adversary can pay to fingerprint the bait. The analysis examines how installed trap prevalence, fingerprinting costs, and adjustment costs affect bait calibration and trap activation.

HoneytokenDecoy
Paper2026

Caught in the Act(ivation): Toward Pre-Output and Multi-Turn Detection of Credential Exfiltration by LLM Agents

Material reviewed: Abstract

This work studies credential exfiltration by LLM agents via indirect prompt injection, proposing three complementary defenses according to the authors: activation probes for pre-output detection, honeytokens calibrated via split conformal prediction, and a cumulative leakage budget tracked across multi-turn conversations. The authors report preliminary results from controlled experiments on open-weight models and a small in-house multi-turn synthetic suite.

ApplicationIdentityHoneytoken
Open software2026

Cyber Deception Playground

Material reviewed: Repository metadataEditor contribution

Open Docker Compose lab with vulnerable services, configurable deception levels, monitoring and an attacker environment for controlled training and research.

NetworkApplicationHoneypotDecoy