Effective evaluation of cybersecurity risk across various information technology (IT) domains requires a structured approach, collaboration with stakeholders and continuous adaptation to evolving threats.
Key areas to map IT domains to enterprise risk include:
Cybersecurity: Cybersecurity is fundamental to the protection of information assets and the overall integrity of an organization’s technology environment. Key risk-related areas include:
- Threat detection: Proactively identifying and monitoring for potential security threats is crucial to preventing breaches before they escalate
- Incident response: Establishing a well-defined incident response plan enables organizations to react promptly to security incidents
- Security awareness: Educating employees and users about cybersecurity threats and best practices reduces the risk of human error, the leading cause of security incidents
Data and privacy: Data and privacy risks have grown exponentially with the increasing volume and sensitivity of information financial services organizations handle. Key considerations include:
- Governance: Implementing robust data governance frameworks to ensure data is managed, protected and used responsibly
- Consent: Collecting and managing user consent transparently is essential for compliance with privacy regulations
- Compliance: Adhering to legal and regulatory requirements mitigates the risk of legal penalties and reputational harm
Business continuity: Business continuity focuses on maintaining critical operations during and after disruptive events. The main risk areas are:
- Resilience: Designing systems and processes to withstand disruptions ensures ongoing service delivery and operational stability
- Backups: Regularly backing up data and systems minimizes data loss and accelerates recovery after incidents
- Recovery testing: Periodic testing of recovery plans validates their effectiveness and prepares teams for real-world events
Third-party and SaaS: Reliance on third-party vendors and software as a service (SaaS) providers introduces unique risks, including:
- Vendor risk: Assessing and monitoring vendor security postures helps prevent cybersecurity events from propagating at or through third parties
- Cloud oversight: Ensuring proper management and oversight of cloud services mitigates risks related to data breaches, misconfigurations and service outages.
AI and agent deployment: The integration of artificial intelligence (AI) and autonomous agents brings new risk dimensions:
- Governance: Establishing clear governance structures for AI systems ensures accountability, transparency and alignment with organizational values
- Algorithm risk: Evaluating and managing risks associated with algorithmic bias, errors and unintended consequences protects against operational and reputational damage
- Human-in-the-loop controls: Maintaining human oversight over critical AI decisions helps balance automation with ethical and safe outcomes
Identify and access management (IAM): IAM is vital for controlling user access to systems and data. Key risk management practices include:
- Authentication: Implementing strong authentication mechanisms (e.g., multifactor authentication) reduces the risk of unauthorized access
- Access reviews: Regularly reviewing user access ensures only authorized individuals have the necessary permissions, limiting potential insider threats
- Privileged account management: Securing and monitoring privileged accounts helps prevent misuse and limits the impact of credential compromise
Cloud posture: As organizations increasingly rely on cloud infrastructure, managing its security posture is essential:
- Infrastructure security: Protecting cloud infrastructure against threats such as misconfigurations, vulnerabilities and unauthorized access is paramount
- Configuration governance: Establishing and enforcing configuration standards and policies ensures that cloud environments remain secure and compliant