A bank’s information security policy is one of the few documents that directly connects technical risk to executive accountability. Most policies don’t fail because controls are weak; they fail because leadership is asked to approve something that’s either too vague to enforce or too technical to understand.
Purpose of the Information Security Policy
At its core, a strong policy answers the following question: “What risks are we willing to accept, and how do we control the rest?”
If it doesn’t clearly connect to financial, regulatory, or reputational risk, the policy is not strong enough.
Governance and Accountability
The policy needs to define roles and responsibilities of those who the board approves to govern the information security program for the financial institution.
- Named ownership (CISO, CIO, business units)
- Board reporting expectations
- Incident escalation paths
Look for clarity with no shared or vague responsibility.
Risk Management Framework
The policy should incorporate clear language to establish the effectiveness and transparency of controls designed to safeguard the data and operations of the financial institution.
- How risks are identified and prioritized
- What gets measured
- What gets reported to executives and the board, and when it gets reported
This should translate cyber risk into business impact, not technical jargon.
Core Control Domains (High-Level)
The policy needs to define what must be controlled, not how:
- Access and identity management
- Data protection
- Incident response
- Third-party/vendor risk
- Business continuity
Detailed configurations should be in process and procedural documents and left out of the policy.
Regulatory Alignment
The information policy needs to reflect the guidance of the financial institution’s regulatory bodies to show compliance with these requirements.
- References to banking regulations (e.g., FFIEC, GLBA)
- Clear commitment to compliance
This supports audit defensibility, not operational detail.
Metrics and Reporting
A successful policy will include metrics and measurable standards that show the maturity of the information security program.
- What is measured (incident response times, training completion, phishing resilience, ect)
- What is reported to executives and how often
Without any oversight of metrics, there is no governance of the information security program.
Where AI Fits in the Policy
AI is now embedded across banking, from fraud detection to employee productivity tools. Ignoring it creates immediate risk.
A strong information security policy will include:
AI Acceptable Use
- Define which AI tools are allowed
- Prohibit entering sensitive or customer data into unapproved systems
Data Protection Boundaries for AI
- Clarify what data can and cannot be used with AI tools
- Address risk of data retention and exposure
Model Governance of AI
- Approval and oversight of AI systems
- Validation, monitoring, and bias considerations
Accountability of AI
- Assign ownership for AI risk (IT, risk, compliance, operations)
AI risk is not just technical; it’s legal, reputational, and ethical.
Takeaway
The information security policy is not just a list of rules to follow; it is the organization's risk tolerance, operational discipline, and defensibility in a crisis.
If you are looking for guidance with creating or revising your policy, reach out to our team via our contact us form. With Bedel Security, you gain more than a policy; you gain a structured path to maturing your entire information security program, from governance through execution.