Beyond Detection
What the platform does once a pattern is caught — real features, honestly labeled by maturity, not blended into one marketing claim.
Federated Intelligence Network
Tenants share aggregated fraud-signal statistics, not raw data. An indicator only ever publishes once at least 3 independent MNOs contribute to the same window — real k-anonymity, not a marketing claim — and calibrated differential-privacy noise is added before anything is exposed.
Red Team Simulator + Pilot Results Report
Run a real adversarial simulation against the exact same production scoring engine your live traffic hits, then get a transparent precision/recall/F1 report — including attack patterns explicitly labeled "novel" specifically to test blind spots honestly, not to inflate a catch rate.
Agentic Sentinel
A real heuristic layer — Shannon entropy and coefficient of variation on transaction timing — flags automated, agent/bot-like fraud patterns. Explicitly tagged Beta everywhere it appears: real-world agentic-fraud training data is still limited, and we say so rather than overstate it.
GSMA Open Gateway (CAMARA)
SIM-swap and number-verification signals via the GSMA Open Gateway CAMARA APIs, feeding the Unified Trust Score alongside the deterministic engine and network intelligence. Sandbox-validated and CAMARA-ready today, with production access available on operator onboarding — never dressed up as a live aggregator connection before it is one.
Bulk Historical CDR Backfill
Import a historical CDR archive through a subscriber-grouped, concurrent batch pipeline built for real telco data volumes — the same detection engine your live traffic hits, not a separate slower path bolted on for imports.
Decision Provenance & Compliance Evidence
Every alert writes an immutable, content-hashed record: engine and ruleset version, every input feature, each detector's individual contribution. Re-run any decision from its own recorded inputs and get a byte-identical score back, or export a full Compliance Evidence Pack for a date range — logged, versioned, and reproducible, not a compliance certification.
What Makes Akilo Different
Not a claim to take on faith — every point below is something you can independently verify in the live product.
Exactly reproducible, not a black box
Every alert writes an immutable decision record: the ruleset version in force, every input feature, each detector's individual contribution. Re-run any decision from its own recorded inputs and it produces a byte-identical score — a real recomputation, not a stored flag, so a tampered record is caught, not silently trusted. Most fraud-scoring vendors can't tell you why a score is what it is; ours can, on demand, for any alert.
Verify it yourself, not our word for it
Run the Red Team Simulator — a real adversarial run against the exact production scoring engine your live traffic hits — and get a real precision/recall/F1 report back, computed from that run, not a published marketing number. Scheduled continuous runs (opt-in, default weekly) keep that accuracy independently re-verified over time, not a one-time benchmark, and every run's misses are disclosed exactly as recorded, never softened.
Three real signal layers, one platform
GSMA Open Gateway (CAMARA) SIM-swap and number-verification signals, cross-institution Federated Intelligence with real k-anonymity, and MoMo/USSD-native detection (momo_burst, momo_night, momo_multi_imei, ussd_premium) — deterministic patterns most fraud suites bolt on later, if at all — combined in the same scoring engine instead of three separate tools.
Limitations disclosed, not buried
Every feature here is labeled by real maturity — Live, Beta, Sandbox, or Phase 1 — not blended into one confident pitch. Agentic Sentinel says plainly that real-world agentic-fraud training data is still limited. GSMA Open Gateway is sandbox-validated and CAMARA-ready, not dressed up as a live aggregator connection. If a number isn't real yet, we don't show it.
Calculate Your Akilo AI ROI
Adjust the sliders to match your network. The result is a modeled estimate from your own inputs — assumptions disclosed inline.
Total active subscribers on your network
Estimated fraud as % of revenue (industry avg: 2-5%)
Average revenue per user per month
How much fraud your current system catches
Your Annual Impact
Modeled estimateNet Annual Savings
$0
ROI Multiple
0.0x
Payback Period
65d
Modeled from your slider inputs. The fee is gain-share — a percentage of documented recoverable loss, not a flat charge — typically 10-30% depending on the real deal. This is an estimate, not a measured or guaranteed outcome.
See Akilo AI on Your Data
Get a personalized demo showing fraud detection on your network profile. No setup required.