C-CyberSafe platform preview

Use Cases

CCyberSafe is designed for a concrete need: governing cybersecurity and compliance over time.
Many companies still operate with documents, non-integrated tools, and periodic checks, as long as external pressure remains manageable. When risks, requests, and regulations become continuous, a stable and traceable operational model becomes necessary.

C-CyberSafe platform preview
At first, informal approach works

In many contexts, cybersecurity and compliance are managed pragmatically: distributed documents, case-by-case decisions, and checks prepared only when requested. This can work for a long time, as long as the external environment remains stable.

Then the context changes

In recent years, cyber risks have become continuous, regulations stricter, and customers and partners demand greater guarantees. It becomes necessary to demonstrate decisions and controls over time. At that point, even stable organizations begin to struggle.

New needs emerge

When external pressure increases, there is a need to coordinate tools, people, and responsibilities with a stable operational model. This evolution often repeats itself across different sectors.

When an informal approach is no longer enough

The point is not just formal compliance. It is about maintaining control, traceability, and operational priorities over time, even as the context changes.

How CCyberSafe is Used

Signal 01

Payment Anomalies

Unusual or inconsistent movements with the customer's historical profile, which may indicate fraudulent operations or suspicious activity.

  • Amounts significantly above the historical average
  • Abnormal frequency of operations in a short period
  • New beneficiaries or in high-risk jurisdictions
  • Structured fragmentation of operations
Signal 02

Unauthorized Access

Access attempts from unusual IPs, abnormal hours, or devices never previously registered on the user profile.

  • Logins from countries with which the customer has no relations
  • Multiple failed accesses in rapid sequence
  • Credential change followed by massive operations
  • Simultaneous sessions from geographically distant locations
Signal 03

Behavioral Changes

Clear changes from the subject's usual behavior, detectable through longitudinal profile analysis.

  • Sudden change of preferred operational channel
  • Sudden increase in transaction volume
  • Request for new products atypical for the profile
  • Reduction of interactions with the assigned contact
Signal 04

High-Risk Transactions

Operations that by nature, counterparty, or jurisdiction fall under the categories monitored by AML/CFT regulations.

  • Transfers to FATF grey/black list countries
  • Use of cryptocurrencies or anonymous instruments
  • Involvement of PEPs or subjects with active sanctions
  • Opaque corporate structures or shell companies
Signal 05

Suspicious Documents

Inconsistencies in documents submitted by the customer during onboarding or file update.

  • Identity documents with graphic anomalies or altered metadata
  • Inconsistency between declared funds and provided documentation
  • Corporate certificates of dubious origin
  • Lack of correspondence with public databases
Signal 06

Regulatory Alerts

Automatically generated reports by the system in response to thresholds or triggers defined by current regulations.

  • Exceeding cash thresholds under Legislative Decree 231/2007
  • SOS obligations to UIF not yet fulfilled
  • Periodic KYC deadlines not met
  • Risk changes from automatic customer re-evaluation
When 01

Customer Onboarding

CCyberSafe is activated from the very first contact to ensure adequate customer verification before starting any relationship.

  • Identity verification and sanctions list screening
  • Initial risk profiling
  • Automated document collection and validation
  • Customer classification by risk tier
When 02

Periodic KYC Review

Systematic update of customer files according to regulatory timelines and assigned risk level.

  • Automatic scheduling of review deadlines
  • Detection of changes from the last update
  • Risk profile re-scoring
  • Notification to the contact in case of escalation
When 03

Unusual Operation

Immediate activation of in-depth analysis when transactions deviating from expected behavior are detected.

  • Contextual analysis of the operation against the profile
  • Search for similar patterns in the customer's history
  • Automatic suggestion of actions to be taken
  • Generation of the report for a possible SOS
When 04

Regulatory Inspection

Support in producing the required documentation and demonstrating the adequacy of anti-money laundering controls.

  • Structured export of KYC/AML documentation
  • Complete audit trail of activities performed
  • Summary report for inspectors
  • Evidence of the decision-making process followed
When 05

Corporate Structure Change

Automatic re-evaluation of the risk profile upon structural changes in the customer's corporate structure.

  • Update of beneficial owners and UBO
  • New verification of incoming shareholders and directors
  • Re-evaluation of the aggregate risk exposure
  • Alerting in case of introduction of sensitive subjects
When 06

Internal Report (Whistleblowing)

Secure and tracked management of internal reports, with support for analysis and case documentation.

  • Anonymous and encrypted reporting channel
  • Intake and internal investigation workflow
  • Correlation with data already present in the system
  • Secure archiving compliant with regulations
Scenario 01

Regulatory Compliance

Entities subject to AML/KYC regulations that need to maintain constant oversight of their customers and demonstrate the adequacy of controls.

  • Automatic mapping of applicable obligations
  • Real-time compliance dashboard
  • Automatic generation of required documentation
  • Reporting to supervisory bodies
Scenario 02

Law / Notarial Firm

Professionals required to conduct adequate customer verification before providing at-risk professional services.

  • Complete and always up-to-date digital customer file
  • Automatic verification against PEP and sanctions lists
  • Management of the SOS obligation to UIF
  • Compliant five-year archiving
Scenario 03

Banking Institution

Banks and financial intermediaries with high volumes of customers and transactions to monitor continuously.

  • Real-time transactional monitoring
  • Dynamic portfolio segmentation and scoring
  • Integration with core banking systems
  • Automatic alerts for the AML team
Scenario 04

Corporate Cybersecurity

Companies that want to integrate digital fraud prevention with compliance and internal control processes.

  • Detection of anomalous access and compromised accounts
  • Correlation between cyber events and financial events
  • Coordinated incident response
  • Unified security + compliance reporting
Scenario 05

Investment Management

Asset managers, SIMs, and family offices needing to profile customers according to MiFID II and anti-money laundering regulations.

  • MiFID profiling integrated with AML verification
  • Monitoring the consistency between profile and operations
  • Conflict of interest management
  • Audit trail for compliance function controls
Scenario 06

HR & Insider Threat

Companies that need to monitor anomalous internal behaviors related to employees with access to sensitive data or critical resources.

  • Detection of unusual access patterns by employees
  • Correlation with HR events (resignations, conflicts, etc.)
  • Protection of the company's information assets
  • Escalation workflow to HR and management