01
Recon & targeting
Agentic OSINT, organization mapping, role discovery, technology fingerprinting, and high-fidelity target selection.
Honeypots for the agentic era
Give attackers
someone to talk to.
stickysweet deploys synthetic people and controlled attack surfaces across the places adversaries target—email, voice, identity, SSO, web, edge, messaging, and AI-facing workflows—then turns every interaction into proprietary threat telemetry.
Agentic attackers can research, personalize, probe, exploit, and pivot faster. Give your SOC an agentic defender and a full-stack data advantage of its own.
SC
Active persona
Sarah Chen
Finance Manager · Chicago
EmailVoiceSSOWeb
10:42 AM · VoiceEngaged
Incoming call claiming to be enterprise IT support.
Pretext extracted
Caller references Sarah's role and a fabricated account-security event.
Intent revealed
Caller requests MFA approval and redirects Sarah toward an external verification workflow.
Sequence correlated
Shared infrastructure links the call to prior email, SSO, and web activity.
ClassificationVishing
Confidence96%
Campaign81AC
A new deception layer
The honeypot is a person.
Instead of waiting for an attacker to discover a server, put believable synthetic identities and controlled attack surfaces into the world and observe how real adversaries choose, approach, probe, and pivot.
01Persona
02Exposure
03Contact
04Interaction
05Adversary
06Campaign
The current attack stack
Attackers stopped staying in one lane.
Modern campaigns blend human deception, identity abuse, web and edge activity, malware, cloud access, and increasingly agentic AI. The highest-value signal is often the relationship between those layers.
AI is lowering the cost of research, personalization, exploit development, tool chaining, and repeated experimentation. stickysweet gives defenders controlled surfaces across that stack so attacker attention produces evidence instead of exposure.
02
Human access
AI-scaled phishing, vishing, smishing, recruiter fraud, helpdesk impersonation, deepfake-enabled pretexts, and relationship attacks.
03
Identity
Credential theft, password spraying, MFA manipulation, device-code phishing, session abuse, and controlled-canary credential discovery.
04
Application & edge
Web reconnaissance, exposed services, automated probing, exploit chains, scanning, and infrastructure reuse.
05
Cloud, SaaS & endpoint
Infostealer-driven access, cloud and SaaS abuse, malware delivery, persistence, lateral movement, command-and-control, and exfiltration signals.
06
AI & agent surface
Prompt injection, malicious agent skills and integrations, model abuse, autonomous orchestration, and attacks that pivot through AI-enabled workflows.
What deploys
A distributed observation layer for the SOC.
Deploy coherent synthetic identities and sensors where attackers operate. Every surface reports into one intelligence system, preserving the path from first touch through campaign context.
01Synthetic personas
Roles, relationships, identifiers, credentials, assets, and history.
02Observation surfaces
Email · Voice · SSO · Sales · Web · Edge · Messaging · Agent
03stickysweet intelligence
Correlation · Enrichment · Agentic analysis · Evidence · Campaign graph
04SOC workflows
Alerts · Hunting · Analytics · API · SIEM · Investigation
Campaign intelligence
These are not three independent alerts.
Three alerts can be one adversary. stickysweet correlates persona, identity, edge, infrastructure, and behavioral signals into one campaign view so the SOC sees the operation—not just the events.
SC
Sarah Chen
Finance Manager
VoiceHelpdesk impersonationMFA approval requested
MT
Michael Torres
IT Administrator
SSOCanary credential usedAuthentication attempt
EP
Emily Parker
Executive Assistant
EmailAccount security lureCredential reset requested
Actor 81AC · Active campaign
High confidenceAI-augmented helpdesk intrusion chain
7Targeted personas
24Correlated events
Voice · Email · SSO · WebSurfaces
18 minObserved sequence
Shared observables
Source IP198.51.100.24
Domainlogin-secure-example.test
Phone+1 (312) 555-0148
ASNAS64500 / example
Observed tactics
Synthetic example data · Cross-sensor campaign correlation
Full-stack security data advantage
Own threat telemetry other teams can’t buy.
Commodity feeds tell every subscriber roughly the same thing. stickysweet generates first-party adversary telemetry against your synthetic workforce, identities, credentials, applications, and edge surfaces—and preserves the relationships between them.
The product is not another log source. It is an active telemetry-generation layer: deploy the bait, observe who touches it, correlate what they reuse, and give the SOC a proprietary dataset built around your threat surface.
01Proprietary collection
Generate signals against your organization instead of depending only on feeds, detections, and indicators available to everyone else.
02Full-stack context
Relate human contact, identity events, web and edge telemetry, infrastructure, credentials, agent behavior, and campaign sequence in one model.
03Agentic correlation
Use AI to extract intent and observables, compare activity across sensors, surface repeated patterns, and accelerate campaign-level analysis.
04No ingest tax
Collect and retain the interactions that matter without per-event, per-log, or per-GB pricing that discourages evidence collection.
What the SOC gets
From tripwire to operating dataset.
The value compounds after the alert. Every interaction becomes evidence that can be hunted, correlated, enriched, exported, and reused as new activity appears.
High-confidence detection
Prioritize interactions with assets and identities that no legitimate user should touch.
Full-fidelity evidence
Retain the message, call, authentication, web, network, and infrastructure context analysts need to investigate.
Actor & campaign correlation
Connect repeated infrastructure, pretexts, identifiers, personas, and tactics across channels and time.
Hunting & analytics
Search the proprietary dataset for recurring infrastructure, behaviors, campaign patterns, and emerging tradecraft.
Agentic analysis
Use AI to extract observables, summarize interactions, build hypotheses, and accelerate triage while preserving analyst control.
SOC integration
Export alerts and intelligence through APIs and SIEM workflows without a per-event or per-gigabyte ingest penalty.
Persona builder
Build someone worth approaching.
Believable deception starts with consistency across a person's identity, organization, assets, communications, relationships, credentials, and digital footprint.
One coherent identity, not a collection of disconnected decoys.
PERSONA DOSSIERReady
SC
Sarah Chen
Finance Manager · Chicago
Northstar FinancialManagerDavid Kim
Identity readiness92%
Digital identity
Email
Phone
Microsoft 365
LinkedIn
Slack
Laptop
Company directory
Agentic offense / agentic defense
When the attack can reason, the trap should reason too.
Threat actors increasingly use AI to research targets, adapt pretexts, chain tools, accelerate exploit work, and automate multi-stage operations. stickysweet uses governed agentic AI to maintain persona context, engage safely, extract intent, and connect activity across the observation layer.
Maintain persona memory and organizational consistency
Engage within explicit disclosure and tool boundaries
Extract intent, entities, infrastructure, and requested actions
Correlate repeated behavior across sensors and personas
Generate analyst-ready summaries and campaign hypotheses
External
Hi Sarah, this is Mark from IT. We detected a problem with your account and need to verify your access.
Sarah · governed agent
I can help validate the request. What team are you with, and what internal case number should I reference?
External
Global Account Services. Case MS-88419. Use the verification page I sent and approve the prompt.
Synthetic example interaction
SystemMulti-stage identity intrusion detected
Helpdesk impersonation + MFA manipulation
ExtractedClaimed identityRequested actionPhone / domainMFA objectiveCross-channel matchCampaign context
Multi-channel identity
One identity. Across the attack surface.
Email, voice, SSO, web, SMS, social, messaging, and agent interactions resolve back to the same synthetic person and campaign context.
SC
Sarah ChenOne synthetic identityEmail
Voice
SSO
Web / Edge
Messaging
Agent
Operating model
How it works
01
Build the persona
Create a complete synthetic employee, organization context, identifiers, credentials, and digital identity.
02
Create exposure
Deploy controlled presence across the channels, services, and edge surfaces attackers are expected to discover.
03
Engage safely
Use policy-bounded agentic interactions to keep the adversary talking without exposing real people or production secrets.
04
Develop intelligence
Correlate actors, infrastructure, tactics, credentials, behavior, and campaign sequence into a reusable SOC dataset.
The conversation starts here
They think they've found an employee.
They've found stickysweet.
Synthetic people. Real adversaries. Full-stack telemetry.