Behavior grouping model
Repeated activity is grouped into campaign clusters using source host, destination port, and protocol event signature.
Convert deception telemetry into prioritized campaign clusters for SOC action.
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.
Move from grouped behavior to analyst-ready context without losing the evidence trail.
Repeated activity is grouped into campaign clusters using source host, destination port, and protocol event signature.
Campaign severity is prioritized from hit volume and spread across deception assets so analysts can focus on what matters first.
Each cluster includes first seen, last seen, hit count, and impacted decoy count to support practical investigation timelines.
Enable Sigma export from campaign clusters to accelerate detection engineering and operational rule updates.
Deception telemetry connects observed behavior to the assets, time window, and protocol surface involved.
Raw indicators alone rarely explain intent. Deception interactions provide richer behavioral signals.
Behavior-derived insights shorten the path from observation to practical detection updates.
Consistent deception telemetry helps link repeat behaviors across targets and time periods.
Structured capabilities for moving from raw interactions to defensible intelligence.
Capture how attackers probe, authenticate, enumerate, and execute against deception assets.
Support technique-level interpretation to improve analyst understanding of adversary tradecraft.
Generate practical artifacts and metadata that can be routed into operations workflows.
Track repeated tactics and execution styles to identify recurring threat behavior.
Combine decoy and honeytoken intelligence to increase confidence in adversary profiling.
Use deception-derived evidence to communicate meaningful trends to technical and leadership audiences.
Collect events from decoy services and honeytokens across your chosen deployment scope.
Structure interaction details so analysts can interpret likely objective and technique.
Send findings to SOC, hunting, and detection teams for operational use.
Update detections, response plans, and coverage strategy based on observed attacker behavior.
Turn campaign context into repeatable analyst and engineering outcomes.
Use behavior-linked evidence to classify urgency and prioritize response effort.
Feed observed adversary behavior into detection refinement and coverage expansion.
Add deception-derived context to incident timelines for stronger post-event analysis.
Group repeated deception behaviors into campaign clusters so analysts prioritize recurring attacker activity over isolated events.
Push campaign clusters through Sigma export and hand outputs to detection engineering for faster rule updates.
Share first-seen, last-seen, hit count, and impacted decoy scope with SOC and leadership for aligned prioritization.
Use deception interactions to strengthen detection, improve response quality, and increase confidence in security decisions.