Live Threat Intelligence
From decoy interaction to practical intelligence your SOC can apply.
Convert decoy and honeytoken interactions into operational intelligence your team can use immediately. Instead of relying only on abstract indicators, you gain behavior-linked context that improves triage confidence, response quality, and detection maturity.
Built For Threat Intelligence Operations
Threat intelligence teams
SOC analysts and incident responders
Detection engineers and hunters
Security leadership driving measurable defense improvements
What This Solves
Intelligence without operational context
Raw indicators alone rarely explain intent. Deception interactions provide richer behavioral signals.
Slow conversion from intel to detection
Behavior-derived insights shorten the path from observation to practical detection updates.
Fragmented understanding of active campaigns
Consistent deception telemetry helps link repeat behaviors across targets and time periods.
Intelligence Outcomes
Sharper triage decisions
Use behavior-linked evidence to classify urgency and prioritize response effort.
Faster detection hardening
Feed observed adversary behavior into detection refinement and coverage expansion.
Improved incident understanding
Add deception-derived context to incident timelines for stronger post-event analysis.
Threat Intelligence Capabilities
Behavioral interaction analysis
Capture how attackers probe, authenticate, enumerate, and execute against deception assets.
Technique-oriented context
Support technique-level interpretation to improve analyst understanding of adversary tradecraft.
IoC and event context extraction
Generate practical artifacts and metadata that can be routed into operations workflows.
Campaign pattern visibility
Track repeated tactics and execution styles to identify recurring threat behavior.
Cross-sensor correlation potential
Combine decoy and honeytoken intelligence to increase confidence in adversary profiling.
Operational reporting support
Use deception-derived evidence to communicate meaningful trends to technical and leadership audiences.
Attack Campaign Clusters
Behavior grouping model
Repeated activity is grouped into campaign clusters using source host, destination port, and protocol event signature.
Priority scoring and severity
Campaign severity is prioritized from hit volume and spread across deception assets so analysts can focus on what matters first.
Time-windowed campaign context
Each cluster includes first seen, last seen, hit count, and impacted decoy count to support practical investigation timelines.
Sigma export from campaign clusters
Enable Sigma export from campaign clusters to accelerate detection engineering and operational rule updates.
How It Works (High-Level)
1. Gather deception interactions
Collect events from decoy services and honeytokens across your chosen deployment scope.
2. Enrich with behavioral context
Structure interaction details so analysts can interpret likely objective and technique.
3. Route into intelligence workflows
Send findings to SOC, hunting, and detection teams for operational use.
4. Apply and measure improvements
Update detections, response plans, and coverage strategy based on observed attacker behavior.
How Teams Use This
Campaign triage board
Group repeated deception behaviors into campaign clusters so analysts prioritize recurring attacker activity over isolated events.
Detection content production
Push campaign clusters through Sigma export and hand outputs to detection engineering for faster rule updates.
Weekly intelligence brief
Share first-seen, last-seen, hit count, and impacted decoy scope with SOC and leadership for aligned prioritization.
Operationalize Intelligence From Real Adversary Behavior
Use deception interactions to strengthen detection, improve response quality, and increase confidence in security decisions.
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