Operators run a vast, always-on estate, ship GenAI into customer care and move money for millions of mobile-wallet users. Raptas brings security operations, AI-assisted incident investigation, AI governance and mobile-money AML onto one record, on-premises, as SaaS or hybrid.
The pressure on an operator is scale: more systems, more change, more AI and more subscribers than any single team can watch by hand.
SIEM, SOAR, network detection and threat intelligence often sit in separate consoles across IT and the enterprise network. Analysts lose time switching context, and the board report is assembled by hand.
What changes
Detection, investigation, response and board reporting run from one SOC console, with alerts correlated, scored and mapped to MITRE ATT&CK, and playbooks that contain incidents with human approval.
Shield SphereWhen a service degrades, the evidence is spread across logs, alerts, changes and topology owned by different teams. Every hour spent finding the cause is an hour of subscriber impact and SLA exposure.
What changes
Ask what is wrong in plain English. AI agents work across logs, alerts, changes and topology, return the probable cause with its evidence, and show every step they took.
Agentic OpsSphereCustomer-care assistants, agent tools and network AI are adopted faster than they are reviewed. Subscriber data can leave in a prompt, and few operators can list every model and agent in use.
What changes
Every model, agent and AI tool is discovered and inventoried, including shadow AI. Sensitive data is blocked in prompts, and what agents can call is bounded at runtime.
Guardrail AIA wallet or mobile financial services arm has to monitor transactions, screen customers and file suspicious transaction reports at a volume and speed few compliance teams were built for.
What changes
Transactions are monitored in real time, customers and payments are screened against sanctions and PEP lists, and every alert is taken through a case to a filed report.
AML/CTFSecurity controls, incident timelines and AI approvals are collected again each time a regulator, auditor or enterprise customer asks, instead of being kept as the work happens.
What changes
Control evidence is collected from day-to-day SOC work and mapped to ISO/IEC 27001 and NIST CSF 2.0, so the audit starts from the record rather than a spreadsheet.
Shield SphereOperators usually start with the team under the most pressure, then connect the rest. Each product runs on its own or together.
For the CISO and SOC
Detection, investigation, response and reporting in one place, across the IT and enterprise estate, with evidence collected as the work happens.
For the CIO, NOC and IT operations
AI agents investigate incidents across logs, alerts, changes and topology, so the cause of an outage is found from evidence rather than a bridge call.
For AI, data and privacy owners
One inventory of every model and agent, with risk assessments, runtime guardrails and the evidence regulators and enterprise customers ask for.
For mobile money compliance
Monitoring, screening and case work for the mobile-money business, with every alert taken to a documented decision.
Products for Telecommunications
Three products that serve every industry, plus AML/CTF for operators with a mobile-money business. Each runs on its own or together.
Built for telecommunications
Across every industry
What changes for the operator: fewer hours lost to outages and alerts, AI it can explain, and evidence ready before anyone asks.
Resilience
Service restored sooner
Outages are traced to their cause from evidence across network, IT and change, so the right team fixes the right thing first.
Efficiency
A SOC that keeps up
Correlated, risk-ranked alerts in one console mean analysts spend their time on threats, not on switching between tools.
Trust
Subscriber data kept out of AI
Customer-care and network AI run under guardrails, with every model owned, assessed and logged.
Compliance
Mobile money that passes review
AML monitoring and reporting built for wallet volumes, with an audit trail a financial regulator can follow.
Coverage for the security, AI and financial-crime frameworks an operator answers to, carried by Shield Sphere, Guardrail AI and AML/CTF.
| Framework | What's covered | Supported in |
|---|---|---|
| Sector regulation | ||
| FATF Recommendations | Risk-based monitoring, customer due diligence and suspicious transaction reporting | AML/CTF |
| Sanctions lists (OFAC, UN, EU) | Customer and payment screening, with every match decision recorded | AML/CTF |
| Security and privacy | ||
| ISO/IEC 27001 | Annex A controls mapped, with monitoring evidence collected as work happens | Shield Sphere |
| NIST CSF 2.0 | Posture tracked across Govern, Identify, Protect, Detect, Respond and Recover | Shield Sphere |
| MITRE ATT&CK | Detections and coverage mapped to adversary tactics and techniques | Shield Sphere |
| GDPR | Security of processing, breach response, and DPIAs for AI that uses personal data | Shield SphereGuardrail AI |
| AI governance | ||
| EU AI Act | Risk-tier classification, conformity and fundamental rights assessments, serious incident reporting | Guardrail AI |
| NIST AI RMF | Govern, Map, Measure and Manage functions mapped to controls and evidence | Guardrail AI |
| MITRE ATLAS | Adversarial AI techniques such as prompt injection and data poisoning, mapped to controls | Guardrail AI |
| OWASP Top 10 for LLMs | LLM risks such as prompt injection, sensitive data disclosure and excessive agency | Guardrail AI |
Coverage means pre-built controls and report templates in the product, not a certification of your organization.
On-premises, as SaaS or hybrid. On-premises and hybrid deployments process data inside your infrastructure; SaaS runs in a dedicated environment in your region. Your data stays yours and is never used to train models for anyone else.
It works across logs, alerts, changes and topology from the sources you connect. Tell us which network management and telemetry systems you run, and we will confirm the connectors during scoping.
It inventories every model, assistant and agent, blocks sensitive data in prompts, checks answers against their sources and bounds what agents can call, with every decision logged.
Yes. It monitors transactions in real time, screens customers and payments against sanctions and PEP lists, scores customer risk and takes every alert through a case to a filed report.
Yes. Managed operations are available 24/7, or your team runs the platform with our support, or we co-manage it.
An outage, an alert queue or a GenAI rollout. We'll walk through it with you, on a scenario you choose.