Stack Decoy deploys realistic decoy agents, synthetic prompts, and trap embeddings across your environment — surfacing threat actors before they reach production systems.
Static honeypots get fingerprinted. Stack Decoy decoys behave like real agents.
LLM-driven decoy agents indistinguishable from production. Chat, hold context, and respond to social engineering.
Marked vectors seeded into stores. Any retrieval triggers high-fidelity threat alerts.
Synthetic API keys, OAuth tokens, and service principals scattered across realistic locations. Use-and-alert wired in.
Realistic but synthetic confidential docs in shared drives, S3 buckets, and SharePoint sites.
Decoy employee personas with email, calendar, and Slack presence. Phishing campaigns get caught here first.
Every interaction enriched, attributed where possible, and pushed into your SIEM as high-confidence signal.
Straightforward answers about scope, integration, data handling, and rollout.
Decoys live outside legitimate user paths. We've run 3,400+ deployments with a sub-0.01% accidental-touch rate.
Adaptive rotation, behavioral mimicry of real assets, and decoys that update their content on the same cadence as production.
Decoys are intentionally tempting to insiders. We surface internal recon patterns alongside external attackers.
Webhook, Splunk HEC, Sentinel, Chronicle, and S3-bucket export. Decoy hits arrive pre-enriched as high-confidence incidents.