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"03 Enterprise Risk Management"

Enterprise Risk Management, commonly referred to as ERM, is the structured process organizations use to identify, analyze, evaluate, treat, monitor, and communicate risks that could affect business objectives.

For a GRC professional, risk management is one of the most important disciplines to understand.

Organizations cannot remove every risk.

Instead, they must determine:

  • Which risks matter most.

  • Which risks require immediate action.

  • Which risks can be accepted.

  • Which risks should be transferred.

  • Which risks should be avoided.

  • Which controls are necessary.

  • Who owns each risk.

  • How risk changes over time.

The objective is not to create a risk register filled with hundreds of entries.

The objective is to enable better business decisions.

By the end of this lesson, you will be able to:

  • Explain Enterprise Risk Management.

  • Understand the enterprise risk lifecycle.

  • Identify assets, threats, vulnerabilities, and impacts.

  • Explain inherent and residual risk.

  • Understand likelihood and impact assessments.

  • Calculate and interpret risk ratings.

  • Understand qualitative and quantitative risk analysis.

  • Build and maintain a risk register.

  • Identify risk owners and control owners.

  • Explain common risk treatment strategies.

  • Understand risk appetite and risk tolerance.

  • Understand risk escalation and reporting.

  • Recognize cybersecurity risk as enterprise business risk.

  • Understand continuous risk monitoring.

Enterprise Risk Management is an organization-wide approach for managing uncertainty that could affect business objectives.

Risk may originate from many areas.

Examples include:

  • Cybersecurity.

  • Financial operations.

  • Technology.

  • Supply chain.

  • Third parties.

  • Legal requirements.

  • Regulations.

  • Privacy.

  • Cloud services.

  • Human resources.

  • Business operations.

  • Geopolitical events.

  • Artificial intelligence.

ERM brings these risks into a structured governance model.

Business Objectives
Identify Risks
Assess Risks
Prioritize Risks
Treat Risks
Monitor Risks
Report Risks
└──────────────► Continuous Review

Risk is the possibility that an uncertain event could affect an organizational objective.

In cybersecurity, one common simplified model is:

Risk = Likelihood × Impact

Another conceptual model may consider:

Threat
+
Vulnerability
+
Asset
+
Potential Impact
=
Risk

For example:

Asset:
Customer database
Threat:
Cyber attacker
Vulnerability:
Publicly exposed database
Potential Event:
Unauthorized access
Impact:
Customer data breach
Risk:
Sensitive customer information could be compromised.

Risk should always be connected to something the organization values.

Examples include:

  • Revenue.

  • Customer trust.

  • Regulatory compliance.

  • Service availability.

  • Employee safety.

  • Intellectual property.

  • Business reputation.

  • Operational continuity.

A vulnerability by itself is not the complete business risk.

For example:

Technical Observation:
Critical vulnerability exists on server.

A stronger risk statement would be:

Exploitation of the critical vulnerability could allow unauthorized access to the customer platform, potentially resulting in customer data exposure, service disruption, financial loss, and regulatory impact.

This is the difference between a technical finding and a business risk.

4. Asset, Threat, Vulnerability, and Impact

Section titled “4. Asset, Threat, Vulnerability, and Impact”

Risk assessments often begin by understanding four important concepts.

Something valuable to the organization.

Examples:

  • Customer information.

  • Payment data.

  • Cloud infrastructure.

  • Employee records.

  • Applications.

  • Intellectual property.

  • Reputation.

Something capable of causing harm.

Examples:

  • Cyber attackers.

  • Malware.

  • Insider threats.

  • Natural disasters.

  • Human error.

  • Supply-chain compromise.

A weakness that could be exploited.

Examples:

  • Weak passwords.

  • Missing patches.

  • Public cloud storage.

  • Excessive privileges.

  • Unsecured APIs.

The consequence if the risk occurs.

Examples:

  • Data breach.

  • Financial loss.

  • Regulatory penalties.

  • System outage.

  • Reputation damage.

A useful risk scenario connects these concepts.

Threat
Exploits
Vulnerability
Affects
Asset
Causes
Business Impact

Example:

Threat:
Phishing attacker
Vulnerability:
No MFA
Asset:
Employee account
Event:
Account compromise
Impact:
Unauthorized access to corporate systems

A useful risk statement often follows:

There is a risk that [event] may occur because of [cause or weakness], resulting in [business impact].

Example:

There is a risk that privileged accounts could be compromised because multi-factor authentication is not enforced, resulting in unauthorized administrative access, data exposure, or service disruption.

Good risk statements should be:

  • Specific.

  • Understandable.

  • Business focused.

  • Actionable.

Organizations may classify risks into categories.

Common categories include:

Risks affecting long-term business objectives.

Examples:

  • Failed market expansion.

  • Poor technology strategy.

  • Major competitor disruption.

Risks affecting day-to-day operations.

Examples:

  • Service outages.

  • Process failures.

  • Human error.

Examples:

  • Fraud.

  • Revenue loss.

  • Currency exposure.

  • Credit risk.

Examples:

  • Regulatory violations.

  • Audit failures.

  • Contract violations.

Examples:

  • Ransomware.

  • Data breaches.

  • Identity compromise.

  • Cloud misconfiguration.

Examples:

  • Vendor breach.

  • Supply-chain compromise.

  • Service provider outage.

A mature ERM process usually follows a lifecycle.

Establish Context
Identify Risk
Analyze Risk
Evaluate Risk
Treat Risk
Monitor Risk
Communicate & Report

Each stage supports better decision-making.

Before assessing risk, understand the environment.

Questions may include:

  • What business process is being assessed?

  • What systems support it?

  • What data is processed?

  • What regulations apply?

  • What customers depend on the service?

  • What is the organization’s risk appetite?

  • Which stakeholders are involved?

Without context, risk ratings may be misleading.

Risk identification determines what could go wrong.

Common techniques include:

  • Interviews.

  • Workshops.

  • Vulnerability assessments.

  • Threat intelligence.

  • Audit findings.

  • Incident reviews.

  • Security testing.

  • Compliance assessments.

  • Architecture reviews.

  • Vendor assessments.

The goal is to identify meaningful risk scenarios.

Risk can emerge from many sources.

Examples:

People
Human error
Insider threats
Weak awareness
Process
Poor approvals
Missing procedures
Weak change management
Technology
Vulnerabilities
Misconfigurations
Legacy systems
Third Parties
Vendor compromise
Supply-chain risk
External Environment
Cybercrime
Regulation
Natural disasters

After identifying a risk, organizations assess its severity.

Two primary factors are typically used:

  • Likelihood

  • Impact

Risk Rating = Likelihood × Impact

The organization may use qualitative or quantitative methods.

Likelihood represents the probability that the risk event will occur.

A simple scale might be:

Score Rating Description
1 Rare Highly unlikely
2 Unlikely Could occur
3 Possible May occur
4 Likely Expected to occur
5 Almost Certain Highly expected

The exact definitions should be documented.

Impact measures the potential consequences.

A common model is:

Score Rating Description
1 Insignificant Minimal effect
2 Minor Limited impact
3 Moderate Noticeable impact
4 Major Significant business effect
5 Severe Critical enterprise impact

Impact should consider multiple dimensions.

An organization may evaluate:

  • Financial impact.

  • Operational impact.

  • Regulatory impact.

  • Legal impact.

  • Customer impact.

  • Reputation impact.

  • Safety impact.

For example:

Risk:
Customer database compromise
Financial Impact:
High
Regulatory Impact:
Critical
Operational Impact:
Medium
Reputational Impact:
High

The overall impact may therefore be rated critical.

A 5 × 5 risk matrix is commonly used.

Likelihood ↓ / Impact → 1 2 3 4 5
5 5 10 15 20 25
4 4 8 12 16 20
3 3 6 9 12 15
2 2 4 6 8 10
1 1 2 3 4 5

Example:

Likelihood = 4
Impact = 5
Risk Score = 4 × 5
Risk Score = 20

This may be categorized as Critical depending on organizational thresholds.

An organization may define:

1–4
Low
5–9
Medium
10–16
High
17–25
Critical

These thresholds are organization-specific.

Risk methodology should always be documented.

Qualitative analysis uses descriptive ratings.

Examples:

  • Low.

  • Medium.

  • High.

  • Critical.

It is commonly used because it is:

  • Easy to understand.

  • Fast to perform.

  • Suitable for workshops.

  • Useful for executive reporting.

However, it may be subjective.

Quantitative risk analysis attempts to express risk financially.

Concepts may include:

  • Asset Value.

  • Exposure Factor.

  • Single Loss Expectancy.

  • Annual Rate of Occurrence.

  • Annual Loss Expectancy.

Asset Value represents the financial value associated with an asset.

Example:

Customer Platform Value:
₹50,000,000

The value may include:

  • Replacement cost.

  • Revenue.

  • Regulatory exposure.

  • Recovery costs.

  • Business dependency.

Exposure Factor represents the percentage of asset value potentially lost during a risk event.

Example:

Asset Value:
₹50,000,000
Exposure Factor:
20%

Single Loss Expectancy estimates the loss from one event.

Formula:

SLE = Asset Value × Exposure Factor

Example:

Asset Value = ₹50,000,000
Exposure Factor = 20%
SLE = ₹10,000,000

Annual Rate of Occurrence estimates how often an event may happen per year.

Examples:

Once per year
ARO = 1
Once every two years
ARO = 0.5
Twice per year
ARO = 2

Annual Loss Expectancy estimates expected yearly loss.

Formula:

ALE = SLE × ARO

Example:

SLE = ₹10,000,000
ARO = 0.5
ALE = ₹5,000,000

This can help justify security investments.

Suppose:

Expected Annual Loss:
₹5,000,000
Security Control Cost:
₹1,000,000 per year

If the control significantly reduces the risk, it may be financially justified.

However, security decisions should also consider:

  • Legal obligations.

  • Safety.

  • Reputation.

  • Customer trust.

  • Regulatory requirements.

Not every decision can be reduced purely to financial value.

Inherent risk is the level of risk before controls are considered.

Example:

Public Cloud Application
+
Sensitive Customer Data
+
Internet Exposure
=
High Inherent Risk

Inherent risk helps organizations understand the natural exposure of an activity.

Controls are safeguards that reduce risk.

Examples include:

  • MFA.

  • Encryption.

  • Firewalls.

  • Security monitoring.

  • Access reviews.

  • Backups.

  • Policies.

  • Employee training.

Controls may reduce either:

  • Likelihood.

  • Impact.

  • Or both.

Residual risk is the risk remaining after controls are applied.

Inherent Risk
Apply Controls
Residual Risk

Example:

Inherent Risk:
Critical
Controls:
MFA
Conditional Access
Privileged Access Management
SIEM Monitoring
Residual Risk:
Medium

The risk owner then decides whether the residual risk is acceptable.

Controls must be evaluated for effectiveness.

A control may be:

  • Effective.

  • Partially effective.

  • Ineffective.

  • Not implemented.

Example:

Required Control:
MFA
Implementation:
90% of privileged accounts protected
Assessment:
Partially Effective

Residual risk should reflect actual control effectiveness.

Organizations generally have four major options for treating risk.

Risk
├── Mitigate
├── Avoid
├── Transfer
└── Accept

Risk mitigation means implementing controls to reduce risk.

Example:

Risk:
Administrator account compromise
Mitigation:
Enable MFA
Deploy PAM
Monitor privileged sessions

This is one of the most common approaches.

Risk avoidance means stopping the risky activity.

Example:

Risk:
Sensitive information stored in unsupported application
Decision:
Decommission the application.

The risk is avoided by removing the activity creating the exposure.

Risk transfer shifts part of the financial or operational consequence to another party.

Examples:

  • Cyber insurance.

  • Outsourced services.

  • Contractual liability.

  • Managed security services.

Risk transfer does not necessarily eliminate the organization’s responsibility.

Risk acceptance means knowingly retaining the risk.

This may occur because:

  • Impact is low.

  • Cost of treatment is excessive.

  • Risk is within appetite.

  • Remediation requires time.

  • Business benefit outweighs exposure.

Risk acceptance should be formally documented.

Risk:
Legacy application does not support MFA
Current Risk:
High
Compensating Controls:
Restricted network access
Strong passwords
Enhanced monitoring
Owner:
Business Application Director
Decision:
Accept risk temporarily
Expiration:
Six months

Temporary risk acceptance should be reviewed before expiry.

Risk appetite defines the overall amount and type of risk the organization is willing to accept.

Example:

Customer Data
→ Very Low Risk Appetite
Service Availability
→ Low Risk Appetite
Research Environment
→ Moderate Risk Appetite
Innovation Projects
→ Higher Risk Appetite

Risk appetite helps guide priorities.

Risk tolerance defines acceptable boundaries around specific risks.

Example:

Business Objective:
Maintain payment platform availability
Tolerance:
Maximum 30 minutes downtime

If downtime exceeds the threshold, escalation may be required.

Risk capacity is the maximum risk an organization could absorb before its ability to operate is threatened.

Conceptually:

Risk Capacity
>
Risk Appetite
>
Risk Tolerance

Organizations should normally operate well below their risk capacity.

Every major risk should have an owner.

The risk owner is responsible for ensuring the risk is managed appropriately.

Risk owners commonly:

  • Review risk status.

  • Approve treatment plans.

  • Provide resources.

  • Accept residual risk.

  • Escalate issues where necessary.

The risk owner should have authority over the affected business area.

A control owner is responsible for implementing or operating a specific control.

Example:

Risk:
Privileged account compromise
Risk Owner:
Business Technology Director
Control:
MFA
Control Owner:
IAM Manager

Risk ownership and control ownership are not necessarily the same.

The risk register is one of the most important ERM artifacts.

It provides a centralized record of identified risks.

Typical fields include:

  • Risk ID.

  • Risk description.

  • Category.

  • Asset.

  • Threat.

  • Vulnerability.

  • Likelihood.

  • Impact.

  • Inherent risk.

  • Existing controls.

  • Residual risk.

  • Risk owner.

  • Treatment.

  • Target date.

  • Status.

ID Risk Likelihood Impact Rating Owner
R-001 Customer database breach 4 5 Critical CISO
R-002 Payment platform outage 3 5 High Application Owner
R-003 Vendor compromise 3 4 High Procurement
R-004 Employee phishing 4 3 High Security
R-005 Backup failure 2 5 High IT Operations

This provides enterprise visibility.

Risk registers must be maintained continuously.

Risk Created
Risk Assessed
Owner Assigned
Treatment Planned
Actions Tracked
Residual Risk Reviewed
Risk Closed / Accepted

A risk register that is never updated provides little value.

Common risk statuses may include:

  • Open.

  • Under Assessment.

  • Treatment in Progress.

  • Accepted.

  • Escalated.

  • Monitoring.

  • Closed.

Organizations should define standard status values.

Risk aging measures how long risks remain unresolved.

For example:

Critical Risk:
Open 120 days
Target Remediation:
30 days

This may indicate:

  • Lack of accountability.

  • Resource limitations.

  • Poor governance.

  • Unclear ownership.

Risk aging is useful for executive reporting.

High risks should generally have documented remediation plans.

Example:

Risk:
Unpatched Internet-facing systems
Actions:
1. Identify affected systems.
2. Prioritize critical vulnerabilities.
3. Apply security patches.
4. Validate remediation.
5. Implement automated patching.
6. Confirm residual risk.

Each action should have:

  • Owner.

  • Due date.

  • Status.

  • Evidence.

Organizations should define escalation thresholds.

Example:

Low Risk
→ Team Manager
Medium Risk
→ Department Manager
High Risk
→ CISO / Risk Committee
Critical Risk
→ Executive Leadership

Escalation ensures significant risks receive appropriate attention.

Risk reports should support decisions.

Useful information may include:

  • Number of critical risks.

  • New risks identified.

  • Overdue remediation.

  • Risk trends.

  • Risks above appetite.

  • Top business risks.

  • Accepted risks.

  • Emerging risks.

Executives usually need summarized business-level reporting.

An executive report may look like:

Risk Rating Trend Owner Action
Ransomware Critical Increasing CISO Improve endpoint controls
Cloud IAM High Stable CIO Implement PAM
Vendor Risk High Increasing Procurement Reassess vendors
Data Privacy High Stable Privacy Officer Strengthen controls

The goal is to show what requires attention.

Organizations often visualize risk using heat maps.

Conceptually:

Impact
5 │ High Critical
4 │ Medium High
3 │ Medium High
2 │ Low Medium
1 │ Low Low
└──────────────────────►
1 2 3 4 5
Likelihood

Risk heat maps help leadership quickly understand concentration of risk.

A risk should not be viewed only as a static rating.

Organizations should understand whether it is:

  • Increasing.

  • Stable.

  • Decreasing.

Example:

Cloud IAM Risk
Q1 → Critical
Q2 → High
Q3 → Medium

This may indicate that remediation is working.

Emerging risks are new or changing risks that may not yet be fully understood.

Examples include:

  • Generative AI.

  • Quantum computing.

  • New regulations.

  • Geopolitical instability.

  • New attack techniques.

  • Supply-chain concentration.

  • New cloud dependencies.

ERM should include mechanisms for identifying emerging risks.

Cybersecurity should not operate as an isolated risk program.

Cyber risks should be integrated into enterprise risk management.

For example:

Cyber Risk:
Ransomware
Enterprise Consequences:
Operational outage
Revenue loss
Regulatory exposure
Customer impact
Reputation damage

This allows cybersecurity to be compared with other business risks.

Individual technical findings may contribute to a larger enterprise risk.

Example:

Finding 1:
Weak passwords
Finding 2:
No MFA
Finding 3:
Excessive privileges
Finding 4:
Poor access monitoring
Aggregated Risk:
Enterprise identity compromise

GRC professionals should avoid filling executive risk registers with every individual vulnerability.

Risks should be aggregated at meaningful business levels.

Risks may also be connected.

Example:

Cloud Provider Outage
Customer Platform Unavailable
Revenue Loss
Contractual SLA Breach
Customer Reputation Impact

Understanding dependencies helps organizations identify systemic risk.

Third parties can create significant enterprise risk.

Questions may include:

  • What data does the vendor access?

  • Is the vendor business-critical?

  • What happens if the vendor fails?

  • Does the vendor maintain appropriate controls?

  • Where is customer data stored?

  • Does the vendor use subcontractors?

High-risk vendors should receive greater scrutiny.

Cloud environments create additional risk considerations.

Examples:

  • Public exposure.

  • Excessive IAM permissions.

  • Insecure storage.

  • Weak logging.

  • Data residency.

  • Shared responsibility misunderstandings.

  • Dependency on cloud provider availability.

Cloud risks should be included within the enterprise risk register where significant.

Failure to meet regulatory requirements creates enterprise risk.

Potential consequences include:

  • Financial penalties.

  • Legal action.

  • Loss of certification.

  • Customer contract violations.

  • Reputation damage.

Compliance therefore represents one category of business risk.

Not every security risk involves a cyber attacker.

Operational risks may include:

  • Configuration errors.

  • Failed backups.

  • Change failures.

  • Capacity issues.

  • Hardware failure.

  • Human mistakes.

ERM considers both malicious and non-malicious events.

Scenario analysis helps organizations consider severe but plausible events.

Example scenario:

A ransomware attack encrypts critical production systems and backups.

Questions may include:

  • Which services would fail?

  • How long could operations continue?

  • What would recovery cost?

  • Which regulations would apply?

  • Could backups be restored?

  • What customer impact would occur?

Scenario analysis is especially valuable for high-impact risks.

Organizations often conduct risk workshops.

Participants may include:

  • Business owners.

  • Security.

  • GRC.

  • IT.

  • Legal.

  • Compliance.

  • Privacy.

  • Risk management.

A workshop may follow:

Define Business Process
Identify Critical Assets
Identify Risk Scenarios
Score Likelihood
Score Impact
Review Existing Controls
Determine Residual Risk

GRC professionals frequently perform interviews.

Useful questions include:

  • What is the business process?

  • Which systems are critical?

  • What sensitive information is involved?

  • What could cause the service to fail?

  • What controls currently exist?

  • Have previous incidents occurred?

  • What happens if the service is unavailable?

  • Who owns the risk?

Good risk assessment requires understanding the business.

Risk decisions should use reliable information.

Evidence may include:

  • Vulnerability scans.

  • Penetration tests.

  • Incident data.

  • Audit findings.

  • Architecture diagrams.

  • Security configurations.

  • Threat intelligence.

  • Business impact assessments.

  • Vendor reports.

  • Control testing results.

Evidence improves confidence in risk ratings.

Risk scoring can become subjective.

Common biases include:

  • Rating every issue High.

  • Underestimating familiar risks.

  • Overestimating recent incidents.

  • Allowing business pressure to influence ratings.

  • Inconsistent scoring between teams.

Organizations should use documented criteria and review processes to reduce bias.

Weak ERM programs often experience:

  • Risk registers containing outdated entries.

  • No assigned risk owners.

  • Every vulnerability becoming a risk.

  • Inconsistent scoring.

  • Risks without remediation dates.

  • Accepted risks without expiration dates.

  • No connection between cyber risk and business impact.

  • Risk reports that leadership cannot understand.

  • Duplicate risks across departments.

  • Lack of continuous monitoring.

ERM should be designed to drive decisions, not produce paperwork.

As a GRC professional, you may:

  • Facilitate risk workshops.

  • Maintain risk registers.

  • Draft risk statements.

  • Calculate risk ratings.

  • Track treatment plans.

  • Follow up with risk owners.

  • Prepare risk dashboards.

  • Escalate overdue risks.

  • Review accepted risks.

  • Identify emerging risks.

  • Support enterprise risk committees.

  • Map technical findings to business impacts.

Consider a cloud-hosted payment application.

Provide continuous payment processing.

Payment platform.

Cyber attacker.

Excessive privileged permissions.

Compromise of privileged cloud account.

  • Payment disruption.

  • Sensitive data exposure.

  • Regulatory impact.

  • Revenue loss.

4 — Likely.

5 — Severe.

4 × 5 = 20
Critical
  • MFA.

  • Security logging.

  • IAM monitoring.

Partially effective.

High.

Deploy privileged access management and reduce permissions.

Head of Payment Technology.

Risk ID:
R-017
Risk:
Privileged cloud accounts could be compromised because excessive permissions and inconsistent privileged access controls exist, potentially resulting in unauthorized access to payment infrastructure, customer data exposure, and service disruption.
Category:
Cybersecurity
Inherent Risk:
Critical
Existing Controls:
MFA
CloudTrail
SIEM Monitoring
Residual Risk:
High
Treatment:
Implement PAM
Reduce standing privileges
Introduce quarterly access reviews
Owner:
Head of Cloud Platform
Target Date:
30 November 2026

This is the type of structured information commonly managed by GRC teams.

Risks should be monitored continuously.

Risk ratings may change because:

  • Controls are implemented.

  • Threats increase.

  • New vulnerabilities emerge.

  • Business processes change.

  • Regulations change.

  • Incidents occur.

  • Systems are retired.

A risk assessment is therefore a snapshot, not a permanent answer.

KRIs help monitor increasing exposure.

Examples include:

  • Number of critical vulnerabilities.

  • Percentage of unsupported systems.

  • Failed backup rate.

  • Number of privileged accounts.

  • Number of overdue access reviews.

  • Percentage of high-risk vendors.

  • Number of open critical audit findings.

KRIs can help identify when risk is moving beyond tolerance.

Modern organizations are increasingly moving from periodic assessments toward continuous risk management.

Traditional model:

Annual Risk Assessment
Report
Wait Until Next Year

Modern model:

Continuous Monitoring
├── Vulnerability Data
├── Cloud Posture
├── IAM Data
├── Vendor Risk
├── Compliance Data
└── Incidents
Dynamic Risk View

This provides more current information.

When reviewing a potential issue, ask:

1. What business objective is affected?
2. What asset is involved?
3. What threat exists?
4. What vulnerability exists?
5. What event could occur?
6. What would the business impact be?
7. How likely is the event?
8. What controls already exist?
9. How effective are those controls?
10. What residual risk remains?
11. Who owns the risk?
12. What treatment is appropriate?
13. When should the risk be reviewed?

This structured approach is central to GRC work.

  • Enterprise Risk Management provides a structured approach to managing uncertainty across the organization.

  • Risk should always be connected to business objectives and business impact.

  • A risk scenario usually involves an asset, threat, vulnerability, event, and impact.

  • Likelihood and impact are commonly used to calculate risk ratings.

  • Qualitative analysis uses descriptive categories such as Low, Medium, and High.

  • Quantitative analysis attempts to estimate financial loss.

  • Inherent risk exists before controls.

  • Residual risk remains after controls.

  • Controls reduce likelihood, impact, or both.

  • Common risk treatments are mitigate, avoid, transfer, and accept.

  • Every significant risk should have an identified owner.

  • Risk registers provide centralized enterprise risk visibility.

  • Risk acceptance should be formally approved and periodically reviewed.

  • Cybersecurity risk should be integrated into wider enterprise risk management.

  • Risk management is an ongoing process rather than a one-time assessment.

Before continuing, make sure you can answer these questions:

  1. What is Enterprise Risk Management?

  2. What is the difference between a technical finding and a business risk?

  3. What are the primary components of a risk scenario?

  4. How are likelihood and impact used?

  5. What is inherent risk?

  6. What is residual risk?

  7. What are the four major risk treatment strategies?

  8. What is the difference between a risk owner and a control owner?

  9. What information is normally maintained in a risk register?

  10. What is risk appetite?

  11. What is risk tolerance?

  12. What is SLE?

  13. What is ALE?

  14. Why should cyber risks be integrated into ERM?

  15. Why must risks be continuously monitored?

➡️ Next: 04 — Risk Assessment Methodology

In the next lesson, you will move from the overall Enterprise Risk Management process into the practical methodology used to perform structured risk assessments.

You will learn how to define assessment scope, identify assets and dependencies, develop risk scenarios, interview stakeholders, evaluate threats and vulnerabilities, assess existing controls, score inherent and residual risk, document findings, assign ownership, and prepare formal risk assessment reports.

This will prepare you for one of the most important practical activities in the GRC career path: performing an enterprise risk assessment from start to finish.