Governance for Financial Services 

Globalisation, outsourcing and an increase in regulations has led to industries having to re-examine internal controls such as internal audit, information security, business continuity, disaster recovery, fraud protection and data privacy. Stringent compliance regulations are imposed on these industries to ensure transparency and protect customers.

Over the past few years, the Financial Services industry has experienced a significant increase in regulations, globalization and outsourcing. This trend has challenged the management to reexamine internal controls such as internal audit, information security, and business continuity, disaster recovery, fraud protection, and data privacy. In highly regulated industries such as Financial Services, global and regional regulators impose stringent compliance requirements to ensure transparency and protect customers. For example, US agencies have honed their focus on regulations, holding institutions to a higher standard, and the Consumer Financial Protection Bureau, created by the Dodd-Frank Wall Street Reform and Consumer Protection Act, is bringing a new authority and perspective to the oversight of financial services companies in attempt to ensure compliance with regulations. Under the US Foreign Corrupt Practices Act (FCPA) organizations are obliged to apply “best efforts” to influence suppliers, third party affiliates, joint ventures, etc. SafePaaS solutions enable Banks, Insurance companies and other financial services institutions to integrate their business applications into their enterprise risk management (ERM) program using the latest capabilities of SafePaaS.

For example, you can implement a Risk Based Supplier Classification within your ERP system and extend supplier controls to a multidimensional approach; Control supplier handling confidential data that is exported outside country borders for the suppliers providing an outsourcing or offshoring service; Comply with requirements set forth by data privacy and information security groups aimed at preventing unauthorized access or storage. SafePaaS Roles Manager can improve user productivity with a security design tool that contains a pre- configured catalog of roles, which also comply with Segregation of Duty (SoD) policies.

SafePaaS can help:

  • Prevention of penalties from Regulations such as FCPA, UK Bribery ACT, Dodd-Frank and SOX

  • Improvements in supplier governance with Master Data Monitoring

  • Remediation of Data Access risks with Roles Management

  • Implement a Risk Based Supplier Classification

  • Extend supplier controls to a multidimensional approach

  • Control supplier confidential data

  • Improve user productivity

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Access Governance For Financial Services

Access Governance for Financial Services

Banks, insurance, and other financial services organizations encounter significant economic, security, and compliance challenges caused by digitalization, cloud transformation, and mergers and acquisitions. Financial services are a critical sector of the economy, and security is essential. However, most financial services organizations still use manual processes, which introduces significant risk and cost to managing user identities and privileges.

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Controls Monitoring

MonitorPaaS™continuously monitors business activities within your enterprise applications. Process improvements can be made by enforcing consistent application setup and operating standards. For example, notify the Payables Manager if a key application configuration, such as 3-way-match for AP invoice payments, is changed.

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Secure Data Integration

DataProbeETL™ is a versatile ETL tool that provides secure and encrypted data integration services to extract, transform and load data into SafePaaS from external data sources, including on-premises and cloud enterprise applications, as well as IDM and ITSM systems. You can rapidly integrate widely deployed enterprise applications using meta-data objects included with DataProbeETL™ as well as add new data sources using the object management capabilities that include data discovery and sampling methods.