Real companies.
Real outcomes.

Ginnons operates one of Lagos's largest online retail platforms with over 400,000 active customers transacting daily. Card fraud, account takeovers at checkout, and PCI-DSS compliance gaps were costing the business an estimated ₦180M per year in chargebacks and incident response costs. Existing fraud tools produced high false-positive rates that exhausted analyst capacity.

Deployed Eagle Pro across cloud infrastructure and identity systems. PulseADT's autonomous identity protection layer monitored login patterns in real time, flagging credential stuffing campaigns within seconds. The ADT evidence layer was configured to generate PCI-DSS audit trails automatically on every actuation event. Containment policies were tuned to Ginnons's checkout transaction flow to avoid false blocks on legitimate high-volume buyers.

Kimpa provides enterprise productivity tools and managed email infrastructure to over 600 corporate clients across Africa. Business email compromise campaigns were becoming more sophisticated, with attackers using harvested credentials to access client mail tenants and exfiltrate financial communications. The company needed autonomous detection that would not interrupt client workflows during investigation.

Rolled out Eagle Max across endpoint, identity, and cloud layers across all managed client tenants. PulseADT's hypothesis-chain reasoning identified lateral movement within email infrastructure and traced compromised credentials back to their origin campaigns. Autonomous containment revoked access and isolated affected mailboxes without interrupting unaffected client operations. Integration with Kimpa's support ticketing system automatically generated incident reports.

Mekaria operates a regulated procurement and logistics platform handling government and enterprise supply chains. Supply chain attacks via compromised vendor credentials and regulatory scrutiny under NDPR created dual pressure on the security team. False positive rates from legacy detection tools were consuming over 60% of available analyst capacity, leaving genuine threats underinvestigated.

Eagle Pro with the compliance module enabled continuous NDPR control monitoring and automated evidence collection mapped to the specific regulation articles. Vendor access policies were ingested into PulseADT's actuation layer, triggering instant alerts when access patterns deviated from established baselines. Hypothesis-chain reasoning collapsed alert volume immediately by filtering unactionable signals before they reached analysts.

Telserve manages critical telecom infrastructure for millions of subscribers. SS7 signalling attacks, subscriber data breach attempts, and NCC cybersecurity guideline compliance requirements created a complex threat surface. Existing SIEM deployments required constant manual tuning, produced thousands of unactionable alerts daily, and could not correlate signalling anomalies with identity or cloud events to build a complete attack picture.

Eagle Max deployed across network, cloud, and identity layers with custom actuation policies mapped to NCC guidelines. PulseADT's ADT Signal Intelligence layer monitored signalling protocol anomalies in real time and correlated them with identity access events to detect full-chain attacks. Integration with Telserve's existing NOC infrastructure provided unified threat visibility without replacing tools that NOC engineers relied on daily.

PayNext processes digital card payments and cross-border transfers across 14 markets. Card cloning campaigns, real-time payment fraud, and simultaneous compliance requirements under both CBN IT Standards and PCI-DSS v4.0 required a security platform that understood financial transaction context, not just network-level events. Previous tools flagged legitimate high-volume transactions from known customers as suspicious, damaging conversion rates.

Golden Eagle Enterprise deployed with a dedicated infrastructure tenant, custom SLA, and bespoke actuation policies tuned to PayNext's cross-border transaction flow. The ADT reasoning engine was trained on PayNext's transaction patterns to distinguish genuine fraud signals from high-velocity legitimate payments. Sub-second fraud signal generation was achieved without adding detectable latency to the transaction path.