ISJ hears exclusively from Shannon Walker, Founder of WhistleBlower Security and EVP of Strategy at Case IQ about turning employee reporting data into proactive risk intelligence.
Corporate security leaders are facing a new challenge in managing risks.
As organizations adopt AI tools and expand digital operations, traditional security threats and internal misconduct risks are becoming harder to detect.
In this instance, employees are a crucial early source of risk intelligence.
The 2025 Ponemon Cost of Insider Threats Global Report estimates that the average annual cost of insider incidents has reached $17.4 million, up from $16.2 million in 2023.
Meanwhile, the Association of Certified Fraud Examiners (ACFE) found that losses are 50% lower in organisations with reporting hotlines than in those without.
Together, these findings underscore a critical truth: sometimes, employee behaviour extends beyond HR concerns. They can impact enterprise security.
For security leaders, the challenge isn’t merely response; they need to learn how to transform reporting data into proactive risk intelligence.
An overlooked source of security intelligence
Employees often witness misconduct or policy violations long before leadership is aware of them. Case IQ research reflects this challenge.
According to one study, 81% of employees said they witnessed some form of non-compliance in the workplace, while less than three-quarters reported that they had experienced misconduct. These could include incidents of:
- Fraud
- Retaliation
- Harassment
- Insider threats
- Conflicts of interest
- Violations of internal policies
In addition, many organisations underuse reporting data. Reports are often treated as isolated incidents rather than as warning signals of larger organisational patterns.
This presents an opportunity for corporate security teams.
Every report through a hotline or reporting system contributes to a growing dataset that can reveal risk patterns across departments.
These case records could then provide valuable insight into emerging vulnerabilities within an organisation.
From case files to real-time risk intelligence
Historically, analysing data at scale has been challenging.
Reports stored in spreadsheets or in disconnected systems make it difficult to identify patterns across multiple incidents.
Nowadays, AI-powered modern investigation platforms are modernising risk intelligence.
Pattern detection
AI-powered analytics can analyse employee reporting and investigation data. This helps surface recurring patterns that may go unnoticed.
Organisations that benchmark hotline activity can gain real-time intelligence on ethics, culture and operational risk trends across their operations.
Examples include:
- Flagging repeated policy violations within a specific department
- Identifying clusters of complaints tied to a particular manager or team
- Highlighting patterns that may signal insider fraud or conflicts of interest
By surfacing these trends early, organisations can intervene before issues escalate into larger operational, legal or reputational risks.
Risk monitoring and benchmarking
AI-powered reporting platforms can also benchmark reporting data. This can help organisations track shifts in reporting behaviour.
Through automated dashboards and analytics, security leaders can monitor key indicators such as reporting volume, substantiation rates and case resolution timelines. This visibility helps organisations understand whether risk levels are rising in certain areas and whether their compliance programs are functioning properly.
Examples include:
- Monitoring and reporting trends across departments or geographic regions
- Identifying sudden increases in certain report categories, such as fraud, harassment or safety violations
- Tracking investigation outcomes to track where substantiation cases are most common
- Benchmarking reporting activity against industry standards
This form of monitoring allows corporate security teams to use reporting data as a proactive source of enterprise risk intelligence.
When risk patterns are identified early, organisations can intervene before problems escalate into regulatory violations or workplace crises.
Employee reporting data functions as an early warning system, one that becomes more powerful as organisations improve their ability to analyse and benchmark their data.
Speak-up culture as a security capability
All the advanced tools in the world won’t prevent risk without one crucial element: employee trust. Case IQ research finds that 8.3% of employees didn’t report misconduct they had witnessed.
Even more concerning, 33.2% of employees reported witnessing retaliation against whistleblowers. Employees will only report concerns if they believe their voices will be heard and that they will be protected from retaliation.
This highlights the unfortunate fact that if employees fear retaliation, they are far less likely to come forward.
Emerging trends showcase why this matters. According to the US Equal Employment Opportunity Commission (EEOC), retaliation has been the most frequently alleged form of discrimination for 17 consecutive years, with 42,301 reports in 2024.
The Occupational Safety and Health Administration (OSHA) also requires that employees have a legal right to file whistleblower complaints about workplace safety concerns.
Additionally, employers are prohibited from retaliating against employees who report.
Fostering a strong culture of speaking up is crucial for security and compliance leaders. The more employees trust the reporting process, the more complete and accurate the organisation’s risk intelligence becomes.
Turning investigation data into proactive risk monitoring
Once organisations establish trusted reporting channels, the next step is ensuring that the resulting data supports risk management initiatives.
Investigation records can reveal patterns that are otherwise difficult to detect. For example, organisations may identify:
- Recurring allegations tied to specific individuals
- Clusters of safety concerns at particular facilities
- Departments generating unusually high volumes of complaints
By tracking these signals, security teams can identify vulnerabilities earlier and take targeted corrective action, which could include:
- Revising policies
- Launching focused audits
- Strengthening internal controls
- Conducting additional training in high-risk areas
This shifts a reactive response approach to a proactive reporting system. One where issues are identified and addressed while still manageable.
For corporate security leaders, this also enables stronger collaboration with HR, compliance and executive leadership by providing data-driven insights into emerging organisational risks.
Building reporting systems employees trust
Reporting systems only generate valuable intelligence if employees actually use them.
The ACFE found that 71% of fraud cases in its 2024 study involved organisations with anonymous reporting mechanisms.
This highlights the importance of making reporting easy and safe.
Effective programs often share several characteristics:
- 24/7 availability
- Multiple reporting channels
- Clear anti-retaliation policies
These features help ensure employees can raise concerns in ways that feel secure and accessible.
Case IQ research also indicates that employees have clear preferences regarding reporting methods. The most commonly preferred channels are, in the following order:
- Phone hotlines
- AI voice reporting systems
- AI-powered chat reporting tools
Providing a range of options allows organisations to meet employees where they are and remove barriers to reporting.
When these systems are trusted and widely used, they enable a steady flow of insights that security and compliance teams can analyse to identify emerging risks.
The future of corporate security is intelligence-driven
As organisations navigate emerging risks such as AI adoption and complex regulations, corporate security leaders must broaden their approach to risk detection.
Employee reporting data represents one of the most powerful and underutilised sources of intelligence available to organisations today.
Combining reliable reporting systems, strong anti-retaliation protections and modern analytics capabilities can help organisations effectively identify early operational vulnerabilities.
In the AI era, the most effective security programs will leverage the insights already present within their workforce.
Turning employee reporting data into proactive risk intelligence strengthens governance, protects employees and helps organisations address threats before they escalate.
About The Author
Shannon Walker is the founder of WhistleBlower Security, a Case IQ Company and Executive VP of Strategy at Case IQ. Case IQ is a global provider of investigative case management software, compliance automation tools, and whistleblower hotline solutions. Shannon frequently speaks around the world on whistleblowing, ethics, corporate culture and diversity.
