Generated by interaction
Create intelligence from real adversary activity, your own decoys, APIs, MCP server surfaces, services, credentials, and sensitive paths.
Deception-generated threat intelligence
Threat intelligence created from real adversary interaction
FIRCY Sense threat intelligence makes available all the data from interactions with tens of millions of decoys. Interaction with decoys that include web applications, credentials, APIs, MCP server surfaces, documents, and more becomes environment-specific intelligence that analysts and approved AI tools can use to investigate, enrich, export, and route into response workflows.
- Environment-specific evidence
- Targeting and infrastructure context
- Risk and confidence signals
- CTI and SOC-ready outputs
From interaction to intelligence
The strongest intelligence begins with controlled evidence: what was touched, where it came from, what it resembled, and what should happen next.
Enriched with context
Add network, infrastructure, targeting, behavioural, and historical context without treating every match as the same kind of evidence.
Ready for operations
Move validated findings into investigation, hunting, case, automation, and CTI workflows.
What makes it different
Start with observed behaviour, then add context
Generic intelligence can be useful, but it does not always answer why your team should care right now. FIRCY Sense anchors intelligence in observed interaction with your environment, then adds context that helps analysts decide what matters.
Observed interaction
Capture evidence from activity that should not normally occur, including what was accessed, tested, followed, reused, or probed.
Environment-specific targeting
Show which decoys, services, locations, paths, identities, and themes were touched so the event is tied back to your environment.
Operational context
Add enough surrounding context for analysts to triage, hunt, escalate, or publish without rebuilding the story from raw events.
How it fits
Not another generic threat feed
FIRCY Sense is not designed to replace strategic threat intelligence, dark web monitoring, vulnerability intelligence, or global IOC feeds. It adds a customer-specific evidence layer: suspicious interaction with deception signals in your own environment.
Use external CTI to understand the broader landscape
Threat actors, campaigns, malware, vulnerabilities, infrastructure, and industry targeting still matter.
Use FIRCY to understand signals earlier
Deception signals show which lures, credentials, APIs, MCP server surfaces, paths, services, and workflows attracted suspicious interaction.
Use both to improve decisions
External context can enrich FIRCY events, while FIRCY events can make external intelligence more relevant to your SOC.
Example outputs
What analysts receive
The output should be more useful than a raw alert. FIRCY Sense is designed to preserve the evidence, explain the context, and make the next workflow clear.
- Triggered signal and affected lure, decoy, credential, API, MCP server surface, service, or path
- Source, network, infrastructure, and user-agent context where available
- Targeting context tied back to the customer environment
- Risk and confidence explanation
- Suggested triage, hunting, containment, or enrichment actions
- Export, webhook, or publication path into configured SOC and CTI workflows
- MCP service access for approved AI tools where configured
Threat intelligence capabilities
Turn deception telemetry into intelligence analysts can use
The value is not a longer alert. It is a clearer view of the source, the infrastructure involved, what attracted attention, and the response path available to your team.
See what was targeted
Connect source activity to the specific decoys, APIs, MCP server surfaces, services, application paths, identity artefacts, and sensitive workflows that attracted attention.
- Target events and locations
- Services and paths touched
- Environment evidence linked to the same source
Understand the source in context
Enrich source infrastructure with ownership, network, location, reputation, and historical activity context where available.
- Network and owner context
- First-seen and last-seen activity
- Risk scoring and confidence bands
Separate evidence from neutral context
Help analysts distinguish evidence that raises concern from infrastructure context that may simply explain what a source is.
- Malicious indicator matches kept distinct
- Neutral infrastructure context labelled separately
- Risk handled without flattening every match into an alert
Pivot across related activity
Move from a single event into related IP, ASN, service, targeted-asset, and user-agent context so analysts can scope activity more quickly.
- IP and ASN investigation
- Targeted asset and service pivots
- User-agent and tooling patterns
Detect suspicious AI tools and agents
Reveal agentic behaviour when AI tools, MCP clients, or automated workflows interact with decoy APIs, MCP server surfaces, credentials, documents, callbacks, or sensitive paths.
- MCP enumeration and resource access
- Tool-call and prompt-probe behaviour
- Follow-on access to canary and callback signals
Generate evidence-scoped analyst guidance
Use event-scoped insights to summarise what happened, why it matters, what looks similar, and which next actions are worth considering.
- Summary and why-it-matters context
- Recommended next actions
- Follow-up questions and saved outputs where enabled
Package validated findings for CTI workflows
Move selected findings into structured intelligence workflows with export, publish, provenance, and policy-aware handling when configured.
- Structured event packages
- Provenance-aware records
- Policy-controlled publication
Use intelligence through the MCP service
Expose approved FIRCY intelligence to AI tools through the FIRCY MCP service when configured, so agent-assisted workflows can query relevant context directly.
- Scoped access for approved tools
- IP, ASN, and targeted-activity context
- Useful for analyst-guided AI workflows
From signal to CTI
How deception-generated intelligence moves through FIRCY Sense
FIRCY Sense is designed to preserve the path from raw interaction to usable intelligence, so analysts can see the evidence and response teams can act on it.
Interaction occurs
A source, identity, or actor touches a decoy, credential, lure, path, service, or sensitive workflow that should not be part of normal activity.
Suspicious touchpoint triggered
Event and environment context captured
Related evidence linked
Context is added
The source and behaviour are enriched with infrastructure, targeting, reputation, history, and user-agent context where available.
Source context reviewed
Targeting context attached
Risk and confidence updated
Analysts get a usable story
The event becomes a structured investigation object that can support triage, hunting, publication, or response automation.
Similar activity surfaced
Next actions suggested
Validated findings routed
For analysts
Make intelligence useful at the point of investigation
A strong intelligence workflow helps analysts answer practical questions quickly: who or what appears to be interacting with us, what did they target, what else have we seen, and what should we do next?
Threat briefing
Summarise recent activity, meaningful patterns, and the events most worth attention.
IP and ASN lookup
Review source activity, targeting, risk context, and related environment evidence from one investigation view.
Event chaining
Connect events across time, source, target, and behaviour so a single signal can become a fuller investigation.
Timeline and pattern views
Understand when activity emerged, how it developed, and whether it resembles previous activity.
Event insights
Generate evidence-scoped summaries, next actions, similar-event context, and follow-up answers where enabled.
CTI hand-off
Export or publish selected findings into downstream intelligence and SOC workflows when the tenant workflow is configured.
Grounded by evidence
Useful intelligence stays honest about confidence and context
FIRCY Sense is careful about the difference between observed evidence, enrichment context, and validated findings. That distinction matters when intelligence is used for investigation or defensive action.
Customer-specific first
The strongest signal comes from activity around your environment, then enrichment adds context rather than replacing the evidence.
Context is labelled
Infrastructure context, reputation, and malicious indicator matches are handled differently so analysts can reason about them properly.
Configured per tenant
Enrichment, export, publication, and downstream routing depend on the deployment model and tenant configuration.
AI is assistive
Generated summaries and follow-up answers can help analysts move faster, while evidence and deterministic workflows remain central.
Make intelligence operational
Map threat intelligence from deception signals to your workflows
We can work through the signals you care about, how FIRCY Sense should enrich them, and where validated intelligence should land for your analysts, response teams, and approved AI tools.