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Comprehensive security systems that protect sensitive pension and member data, including intrusion detection, encryption, identity management, and security information and event management (SIEM) platforms.

Every feature we track for Cybersecurity Solutions products, with a description of what each one means.

Application Security

Features focused on ensuring that the pension management applications are resilient to common attacks, such as code vulnerabilities and unauthorized data access.

API Security Management: Controls to secure application programming interfaces.
Automated Code Scanning: Automated tools scan codebases for vulnerabilities.
Dependency Vulnerability Management: Monitors and updates third-party libraries for vulnerabilities.
Dynamic Application Security Testing (DAST): Test running applications for vulnerabilities in real time.
Open Web Application Security Project (OWASP) Compliance: Application complies with OWASP Top 10 recommendations.
Regular Penetration Testing: Third-party or in-house simulated attacks to find vulnerabilities.
Runtime Application Self-Protection (RASP): Applications detect and block attacks in real time.
Secure Coding Standards: Application code adheres to established secure development practices.
Static Application Security Testing (SAST): Analyze source code for known vulnerabilities.
Web Application Firewalls (WAF): Prevents attacks targeting web applications.

Business Continuity and Disaster Recovery

Capabilities to ensure that pension data and processes are resilient to disruptions such as cyber-attacks, outages, or disasters.

Automated Data Backups: Regular backups of key data and system configurations.
Automated Failover: Automatic system switch to backup infrastructure upon failure.
Backup Frequency: How often data backups are taken.
Business Continuity Plan Documentation: Comprehensive, up-to-date plan documentation.
Disaster Recovery Testing Frequency: Number of times per year recovery plans are tested.
Geographically Redundant Infrastructure: Replication of data across multiple regions to prevent data loss.
Hot/Cold/ Warm Standby Systems: Type of backup environments maintained for quick restoration.
Recovery Point Objective (RPO): Maximum age of files that must be recovered after an outage.
Recovery Time Objective (RTO): Maximum allowable downtime after a disruption.
User Notification During Outages: Automatic updates sent to users about system status during incidents.

Data Encryption and Privacy

Measures and controls to ensure that sensitive pension and member data is securely encrypted both at rest and in transit, and compliant with privacy regulations.

Audit Logging for Data Access: Complete audit trail of any encrypted data accessed or decrypted.
Automated Encryption Updates: Automated update and patching of cryptography libraries.
Compliance Certificates: Certifications (e.g., GDPR, ISO 27001) confirming privacy and data protection standards.
Data Anonymization Tools: Tools to anonymize data for use in analytics and testing.
Encryption Algorithm Strength: The strength of cryptographic algorithms used (e.g., AES-256).
Encryption Key Management: The system securely manages, rotates, and stores encryption keys.
End-to-End Encryption: All sensitive data is encrypted during storage and transmission.
Field-Level Data Masking: Sensitive fields are masked within user interfaces and data exports.
Multi-region Data Residency: Ability to store encrypted data within specific geographic jurisdictions to meet regulatory requirements.
Secure Backup Encryption: Backups are encrypted using the same or better standards as production data.

Fraud Detection and Prevention

Tools and intelligence designed to identify and prevent attempted fraud or unauthorized manipulation of pension assets.

Automated Account Freezing: The system can automatically freeze accounts suspected of fraud.
Behavioral Analytics for Fraud Detection: Monitors user and transaction behaviors for suspicious patterns.
Blacklists and Whitelists: Lists maintained to block or allow specific users or accounts.
False Positive Rate: Percentage of legitimate transactions incorrectly flagged.
Fraud Investigation Workflows: Automated workflows to triage and resolve potential fraud cases.
High-risk Transaction Notification Speed: Time for the system to alert on high-risk actions.
Integration with Watchlists: Links with internal/external fraud and sanctions lists.
Machine Learning Model Accuracy: Accuracy of machine learning models for detecting fraud.
Real-Time Transaction Monitoring: Analyzes pension transactions for signs of fraud as they occur.
Rule-based Anomaly Detection: Administrator-defined business rules to flag abnormal activity.

Identity and Access Management (IAM)

Controls and features designed to ensure only authorized users can access sensitive pension and member data, with detailed permission structures and robust authentication.

Access Policy Automation: Automated enforcement of access policies based on user roles and context.
Adaptive Authentication: Authentication strength varies depending on risk/context.
Detailed Access Logs: Maintains detailed logs of user authentication and access events.
Identity Federation: Allows integration with external identity providers (e.g., SAML, OAuth).
Multi-factor Authentication (MFA): Additional authentication steps beyond password entry.
Privileged Access Management: Special controls for managing highly privileged accounts.
Role-Based Access Control (RBAC): Access rights and capabilities assigned based on user roles.
Self-service Password Reset: Users can securely reset their own passwords.
Session Timeout: Automatic user logoff after a period of inactivity.
Single Sign-On (SSO): Users can authenticate once to access multiple systems seamlessly.

Incident Response Management

Preparedness and automation for detecting, responding to, and recovering from security incidents.

After-action Remediation Tracking: Creates trackable tasks following incident post-mortems.
Automated Containment Actions: Capabilities to automatically isolate affected systems.
Automated Incident Playbooks: Predefined workflows to respond to specific incident types.
Crisis Communication Tools: Facilitates rapid, secure communication during incidents.
Forensic Data Collection Automation: Automatically gathers relevant data during a security event.
Internal and External Notification Automation: Notifies all stakeholders, including regulators, as required.
Post-incident Analysis Reports: Automatically compiles reports after incidents to support root-cause analysis.
Response Time SLAs: Guaranteed maximum time to initiate a response after detection.
Tabletop Exercise Tools: Supports running mock incidents to train the response team.
Third-party Forensics Integration: Integrates with external digital forensics services.

Network and Infrastructure Security

Protective measures for securing network traffic, servers, and infrastructure from unauthorized access and threats.

DDoS Protection: Systems to defend against Distributed Denial of Service attacks.
Firewall Integration: Uses advanced firewalls to inspect and control incoming/outgoing traffic.
Intrusion Detection Systems (IDS): Automated systems to detect malicious activity on the network.
Intrusion Prevention Systems (IPS): Automated blocking and mitigation of detected attacks.
Network Segmentation: Separates critical systems to limit the impact of breaches.
Patch Management Automation: Automatic deployment of security updates to infrastructure.
Secure Configuration Baselines: Infrastructure configured to recognized security standards.
VPN Support: Encrypted tunnels for secure remote access.
Vulnerability Scanning Frequency: How often vulnerability scans are performed.
Zero Trust Architecture: Assumes no implicit trust within the network; authenticates all requests.

Risk Assessment and Compliance

Controls and automation to assess risk exposure, ensure regulatory compliance, and provide audit support.

Automated Audit Logging: Maintains audit trails meeting compliance obligations.
Automated Compliance Reporting: Generates and distributes reports for relevant regulations (e.g., SOC 2, GDPR, SOX).
Automated Remediation Tracking: Tracks progress and closure of audit and risk remediation tasks.
Continuous Risk Monitoring: Ongoing evaluation of risks to pension assets and data.
Data Retention Period Control: Ability to define and enforce data retention policies.
Policy Management Tools: Enables creation, enforcement, and distribution of security policies.
Regulatory Change Monitoring: Monitors for changes in relevant security regulations.
Reporting Customization: Users can tailor compliance and risk reports to requirements.
Risk Scoring Engine: Automatically assigns risk scores based on assets and exposures.
Third-party Risk Assessment: Evaluates security posture of all external service providers.

Security Information and Event Management (SIEM)

Centralized monitoring, real-time analysis, and reporting of security events from across the pension management infrastructure.

Alert Notification Latency: Time from detection to notification of security personnel.
Automated Response Orchestration: The system can automate predefined responses to certain events.
Centralized Log Aggregation: Consolidates logs from all systems for analysis and storage.
Correlation Rules Engine: Allows custom rules for correlating events across systems.
Customizable Dashboards: Allows tailoring of dashboards for different audiences.
Forensic Investigation Tools: Assists in digital forensic analyses post-incident.
Historical Log Retention: The system retains security logs for compliance and investigations.
Incident Ticketing Integration: Links SIEM alerts with incident management platforms.
Real-Time Threat Detection: System raises alerts on detection of abnormal behavior or attack patterns.
User and Entity Behavior Analytics (UEBA): Uses machine learning to detect behavioral anomalies.

System Integration and Interoperability

Ability of the cybersecurity solution to integrate with existing pension fund management systems, industry platforms, and provide interoperability across technologies.

Batch Data Import/Export: Capability to import/export large data sets between systems.
Cloud Service Integration: Integrates easily with cloud providers and SaaS tools.
Custom Integration Toolkit: Provides libraries and tools for custom integrations.
Integration Testing Suite: Automated tools to test integrations before deployment.
Interoperability Certification: Certifications for smooth integration with market-standard platforms.
On-premises Integration Support: Flexible integration with non-cloud systems.
Open API Availability: Public APIs documented for integration with other systems.
Prebuilt Connectors: Ready-made integrations for commonly used pension fund management tools.
SIEM/SoC Integration: Easily connects to Security Operations Centers or SIEM platforms.
Standards-based Data Exchange: Supports industry-standard data formats and protocols.

User Education and Awareness

Features to ensure all users are aware of security risks and follow best practices.

Breach Simulation Participation Rate: Percent of users participating in breach simulation exercises.
Compliance Test Results Dashboards: Aggregates user compliance training results.
Customizable Training Content: Organizations can tailor security awareness content.
Integrated Security Awareness Training: Provides regular training for users on security best practices.
Interactive Learning Modules: Engaging, scenario-based training rather than static documents.
Mandatory Onboarding Training: Security training required before system access.
Phishing Simulation Tools: Periodically tests users' readiness for phishing attacks.
Policy Acknowledgement Tracking: Tracks user acknowledgment of security policies.
Refresher Training Frequency: How often security training updates are required.
Security Bulletin Distribution: Regular updates on new threats and incidents shared with users.

Cybersecurity Solutions features explained

for Risk Management