Workforce Risk Profiling: Predict & Prevent Incidents

Your security data is telling a story, but you might only be reading the first chapter. Metrics like phishing simulation click-rates or training completion scores provide a flat, incomplete picture of your organization's vulnerabilities. This can lead to a false sense of confidence. A true understanding of risk requires a multidimensional view that connects the dots between how your people act, the access they have, and the threats they face. This is the core of workforce risk profiling. By correlating data across employee behavior, identity systems, and real-time threat intelligence, you can build a comprehensive, actionable picture of your risk landscape and move from a compliance-focused function to a proactive, preventative one.

Key Takeaways

• Shift from reactive to predictive security: Move beyond responding to breaches by analyzing data trends across your organization. This allows you to anticipate where the next incident is likely to occur and intervene before it happens.
• Correlate data for a complete risk view: Accurate profiling requires a multidimensional approach. Gain true visibility by analyzing and connecting data from three key sources: employee behavior, identity and access systems, and external threat intelligence.
• Drive targeted action with AI-driven insights: Use predictive analytics to automate precise interventions with human oversight. This ensures that identified risks are met with effective actions, such as personalized micro-training or policy adjustments, to measurably reduce risk.

What Is Workforce Risk Profiling?

Workforce risk profiling is a strategic approach to understanding and managing the security risks posed by people and AI agents within your organization. It moves beyond simple compliance checks and annual training modules. Instead, it involves continuously analyzing a wide range of data to identify which individuals, roles, or departments are most likely to be involved in a security incident, whether through accidental error, negligence, or malicious intent. This allows security teams to stop playing defense and start proactively reducing risk before it leads to a breach. By creating detailed profiles, you can see your organization's human and AI-driven vulnerabilities with clarity and take targeted action where it matters most.

A Clear Definition

At its core, workforce risk profiling is the process of identifying, measuring, and prioritizing the security risks associated with your entire workforce. This isn't just about spotting potential bad actors. It includes understanding who is most susceptible to phishing, who has access to sensitive data they don't need, and which AI agents might have overly permissive settings. As research from Deloitte highlights, this type of risk can impact everything from your company's finances and operations to its reputation. The goal is to build a data-driven picture of your risk landscape, which serves as the foundation for an effective Human Risk Management program.

The Shift from Reactive to Predictive Security

For too long, security programs have been stuck in a reactive loop. An employee clicks a malicious link, a data breach occurs, and the response is often a company-wide training session that fails to address the root cause. This model is broken. The objective today isn't just to respond to incidents but to build a resilient organization that anticipates and prevents them. Workforce risk profiling is the engine for this change. It uses advanced analytics to spot patterns in behavior, access, and threat data, helping you predict where the next incident is likely to happen. This allows you to move from generic awareness campaigns to precise, preventative interventions with a modern security platform.

Why Workforce Risk Profiling Matters

Workforce risk profiling is the process of identifying, measuring, and understanding the security risks associated with individuals and groups within your organization. It’s a strategic shift away from generic, one-size-fits-all security policies and toward a more targeted, data-driven approach. Instead of waiting for an incident to happen, you can proactively identify the conditions and behaviors that lead to them. This allows you to see who is most at risk, understand why, and intervene before a minor issue becomes a major breach.

By correlating data across employee behavior, identity and access systems, and real-time threat intelligence, you get a clear, actionable picture of your risk landscape. This comprehensive view is the foundation of modern Human Risk Management. It moves security from a reactive, compliance-focused function to a proactive, preventative one. Understanding your workforce's risk profile helps you allocate resources effectively, tailor interventions for maximum impact, and ultimately build a more resilient security culture. It’s about knowing where your vulnerabilities are so you can address them with precision.

Predict Security Incidents Before They Happen

The traditional security model is built on detection and response, which means you’re always one step behind the threat. Workforce risk profiling flips this model on its head. By analyzing hundreds of risk signals, advanced tools can predict where problems are likely to emerge, helping you plan ahead and prevent incidents. This isn't about predicting the future with a crystal ball; it's about identifying risk trajectories based on concrete data.

For example, you can spot an employee whose access privileges don't match their role, who consistently fails phishing tests, and who is being targeted by external threats. The Living Security Platform can identify this convergence of risk factors and flag the individual for a targeted intervention, like a specific micro-training module or an access review, long before they cause a breach.

Understand the Cost of Human-Driven Breaches

Human-driven security incidents are not just a technical problem; they are a significant financial liability. When you consider that employees can represent a large portion of a company's total spending, it becomes clear that managing the risks related to them is a business imperative. A single mistake, whether it's clicking a malicious link or mishandling sensitive data, can lead to millions in recovery costs, regulatory fines, and reputational damage.

Workforce risk profiling provides the clarity needed to make smarter investments in your security program. By identifying the individuals and departments that pose the highest risk, you can focus your resources where they will have the greatest impact. This targeted approach ensures a higher return on your security spending and helps you justify your budget with data-backed insights from resources like the Cyentia Human Risk Report.

Move Beyond Traditional Security Awareness

Annual compliance training and generic phishing simulations are no longer enough to change behavior. These methods often fail because they ignore the human context, like an employee's stress level, workload, or engagement. Ignoring the emotional side of work is a risk in itself, as it can lead to burnout, low morale, and careless mistakes. A disengaged employee is far more likely to become a security risk.

Effective security awareness and training must be personal, timely, and relevant. Workforce risk profiling makes this possible by identifying the specific knowledge gaps or risky habits of each individual. Instead of a generic annual course, an employee might receive a two-minute video on identifying spear-phishing attempts right after they’ve clicked on a simulated phishing email. This personalized, just-in-time guidance is far more effective at building lasting security habits.

The Core Components of Effective Risk Profiling

An effective workforce risk profile isn’t built on a single data point. To accurately predict and prevent security incidents, you need a multidimensional view that shows the complete picture of risk. Relying solely on phishing simulation results or training completion rates gives you a flat, incomplete understanding. True visibility comes from correlating information across three critical pillars: how your people act, the access they have, and the threats they face.

By weaving together these distinct data sources, you can move beyond simple observation. You start to see the connections that matter. For example, you can identify an employee who not only fails phishing tests but also has administrative access to sensitive data and is being actively targeted by a known threat actor. This is the kind of contextual insight that allows you to shift from a reactive security posture to a predictive one, focusing your resources where they will have the greatest impact and stopping incidents before they can even start.

Analyze Employee Behavior

Understanding how employees behave is the foundation of any workforce risk profile. This goes far beyond tracking who clicks on a suspicious link. It’s about analyzing patterns in their daily activities to see where risk might emerge. Are they using unsanctioned applications, mishandling sensitive data, or consistently bypassing security protocols? On the other hand, are they actively reporting potential threats and demonstrating secure habits? Creating an environment where employees feel empowered to speak up about risks can help you close critical gaps in your security processes.

A data-driven approach allows you to see these behaviors clearly and provide targeted interventions. Instead of generic, one-size-fits-all training, you can deliver personalized guidance at the moment it’s needed most. This helps build a stronger security culture by focusing on helpful, corrective actions rather than just pointing out mistakes. The goal is to understand the context behind employee actions and guide them toward more secure practices through effective security awareness and training.

Understand Identity and Access

An employee’s behavior becomes significantly more or less risky depending on their level of access. A junior employee clicking a phishing link is a concern; a system administrator with keys to your entire infrastructure doing the same is a potential catastrophe. Many organizations have a false sense of confidence in how they manage workforce risk because they fail to connect behavior with access. Understanding who has access to what, and whether that access is appropriate for their role, is a critical component of risk profiling.

This involves mapping out user permissions, roles, and privileges across your organization. By correlating this identity and access data with behavioral insights, you can accurately quantify the potential impact of a security slip-up. This allows you to prioritize your efforts, focusing on the individuals and roles that pose the most significant threat to your critical systems and data. A comprehensive platform can provide this visibility, showing you where your greatest concentrations of risk truly lie.

Integrate Real-Time Threat Intelligence

The final piece of the puzzle is external context. Employee behavior and access levels show you internal vulnerabilities, but real-time threat intelligence tells you how adversaries are trying to exploit them. Are specific teams or executives being targeted by sophisticated spear-phishing campaigns? Is there a surge in malware targeting your industry? Integrating this external data provides a dynamic, real-world view of the threats your organization is facing right now.

This intelligence allows you to connect the dots between a potential internal weakness and an active external threat. By analyzing data trends, you can anticipate where the next attack is likely to come from and proactively reinforce your defenses. This holistic approach to Human Risk Management ensures you aren’t just reacting to incidents after they happen. Instead, you’re using predictive insights to stay one step ahead, protecting your organization from evolving threats.

How Workforce Risk Profiling Works

Effective workforce risk profiling is a systematic process that transforms raw data into predictive, actionable intelligence. It’s not about a single snapshot in time. Instead, it’s about creating a dynamic understanding of how risk evolves across your organization. This process moves security teams from a reactive posture of incident response to a proactive one of incident prevention. It involves collecting a wide array of signals, using AI to find meaningful patterns within that data, and then using those insights to forecast where the next incident is most likely to occur. This approach allows you to intervene precisely and effectively, stopping threats before they materialize.

Collect Data from 200+ Risk Signals

A strong risk profile starts with a comprehensive data foundation. Relying on a single data source, like security training completion rates, provides an incomplete picture. A modern approach requires correlating information from hundreds of signals across three core pillars: employee behavior, identity and access systems, and real-time threat intelligence. This includes data from security tools, directory services, and endpoint protection systems. By analyzing everything from phishing simulation clicks and data handling habits to user access levels and active threat campaigns, you can build a holistic view of risk for every individual and AI agent in your organization.

Use AI to Analyze Patterns

With data coming from over 200 sources, manual analysis is impossible. This is where an AI-native platform becomes essential. An AI engine can process billions of data points to identify subtle correlations and hidden patterns that would otherwise go unnoticed. For example, it can connect a user’s unusual login activity with their elevated system permissions and recent exposure to a targeted phishing campaign. This analysis goes beyond simple risk scoring to provide a deep, contextual understanding of why a specific user or agent poses a risk. This is the core of a true Human Risk Management strategy.

Predict Future Risk Trajectories

The ultimate goal of profiling is not just to understand current risk but to predict future incidents. By analyzing historical and real-time data, an AI guide can forecast an individual’s risk trajectory, identifying who is most likely to cause a security incident in the future. This predictive capability allows security teams to act preemptively. Instead of waiting for an alert, you can deliver targeted micro-training, adjust access policies, or provide other interventions to reduce risk before it leads to a breach. This forward-looking approach is critical for getting ahead of threats, a methodology recognized by leading industry analysts in reports like the Forrester Wave™.

Key Workforce Risks to Profile

Effective workforce risk profiling goes beyond a single metric. It requires a holistic view that identifies a spectrum of potential security incidents before they can impact your organization. By correlating data across employee behavior, identity and access systems, and real-time threat intelligence, you can build a clear, predictive picture of your most critical vulnerabilities. This approach allows you to move from a reactive posture to a proactive one, focusing your resources on the people and non-human agents that pose the greatest risk. The goal is to understand not just what the risks are, but who is most likely to be involved and why.

Identify Insider Threats

Insider threats aren't always malicious. They often stem from negligence or accidental actions by well-meaning employees. The key is to spot the warning signs before an incident occurs. Instead of relying solely on employees to report issues, a data-driven approach analyzes patterns in behavior and system access to detect anomalies. For example, you can identify an employee who suddenly accesses sensitive files outside of their normal work hours or one whose credentials are being used from an unusual location. A comprehensive Human Risk Management strategy makes these subtle signals visible, allowing you to intervene with targeted guidance or policy adjustments before a minor issue becomes a major breach.

Gauge Phishing and Social Engineering Vulnerability

Many organizations have a false sense of confidence in their ability to manage phishing risks. Standard simulation click-rates provide an incomplete picture of your true vulnerability. A more accurate profile connects simulation performance with real-world data. For instance, an employee in finance who fails a phishing test and has high-level access to financial systems represents a far greater risk than an intern with limited permissions. By layering phishing simulation results with identity data and threat intelligence, you can pinpoint your most susceptible and high-impact employees, then deliver personalized interventions to strengthen their defenses.

Pinpoint Compliance and Training Gaps

Annual compliance training often fails to change long-term behavior. Workforce risk profiling helps you pinpoint specific training gaps in real-time, making your educational efforts more effective and efficient. Instead of a one-size-fits-all approach, you can identify individuals or teams who consistently mishandle data or fail to follow security protocols. This allows you to deliver targeted micro-training at the exact moment it's needed. This data-driven approach to security awareness and training not only improves security outcomes but also provides clear evidence of a proactive compliance strategy, turning training from a checkbox exercise into a measurable risk reduction tool.

Manage AI Agent and Non-Human Risks

Your workforce now includes more than just people. AI agents, service accounts, and other non-human actors interact with your critical systems and data, creating new and complex risk vectors. An effective risk profiling strategy must extend to these entities. Advanced tools can help you monitor their activity, permissions, and interactions to predict potential issues. By applying the same principles of behavioral analysis and access management to non-human agents, you can manage the growing intersection of human and machine-driven risk. The Living Security platform provides the visibility needed to secure your entire modern, distributed workforce.

The Right Tools for Workforce Risk Profiling

Effective workforce risk profiling depends on a system that connects the dots across your security ecosystem. Traditional tools often provide a fragmented, after-the-fact view, leaving you to piece together clues from disparate systems. A modern approach requires technology that can gather data and make sense of it in real time. The right tools offer predictive insights, integrate with your existing infrastructure, and use AI as a core function, not an afterthought.

Leverage Predictive Analytics

Predictive analytics shifts your security posture from reactive to proactive. Instead of just reporting on past incidents, this technology analyzes trends across behavior, identity, and threat data to forecast where the next risk will likely emerge. It helps answer questions like, "Which employees show signs of credential compromise?" or "Which department is most vulnerable to phishing next month?" By using data to anticipate risk, you can deploy targeted interventions before a potential issue becomes an incident. This approach allows you to manage human risk with foresight, not just hindsight.

Integrate with Your Existing Systems

A risk profiling tool is only as good as the data it can access. To get a complete picture, your platform must integrate with the tools you already use, including identity and access management (IAM), endpoint detection (EDR), and threat intelligence feeds. This integration creates a single, correlated view of risk signals. It connects an employee's risky behavior with their access levels and any active threats targeting them. This holistic view is essential for accurate profiling and ensures your security solutions work together to strengthen your overall defense.

Choose an AI-Native Platform for Analysis

Many leaders have a false sense of confidence in managing workforce risk because their tools lack true analytical depth. An AI-native platform makes a significant difference. Unlike tools with bolted-on AI, an AI-native system is built to analyze complex datasets from the ground up. It can process hundreds of signals to identify subtle patterns that signal emerging threats. The Living Security platform uses this approach, with our AI guide, Livvy, providing explainable recommendations with human-in-the-loop oversight. This gives your team the clarity to move beyond basic awareness and proactively prevent incidents.

How to Implement Workforce Risk Profiling

Putting workforce risk profiling into practice is a strategic process that moves beyond theory and into tangible action. It’s about creating a system that not only identifies potential threats but also actively works to prevent them. A successful implementation rests on three key pillars: adopting the right technology to analyze complex data, fostering a collaborative strategy that involves stakeholders across your organization, and enabling automated actions that address risks in real time. By focusing on these areas, you can build a proactive security posture that protects your organization from the inside out, turning data into your most effective defense.

Select and Integrate the Right Platform

The foundation of any effective risk profiling program is a platform capable of aggregating and analyzing vast amounts of data. Your goal is to find a tool that doesn't just collect information but turns it into predictive insights. An AI-native Human Risk Management platform is designed for this purpose, using predictive analytics to analyze trends and forecast risk trajectories before they lead to an incident. Look for a solution that can seamlessly integrate with your existing security stack, including identity and access management systems, endpoint protection, and threat intelligence feeds. This ensures you can pull in the 200+ signals needed for a comprehensive view of risk across employee behavior, identity, and threats.

Build a Cross-Functional Strategy

Workforce risk is not exclusively a security problem; it’s an organizational one. A successful profiling program requires buy-in and collaboration from multiple departments, including IT, compliance, and business unit leaders. Unfortunately, research shows many organizations have a false sense of confidence in this area, leading to limited oversight from the C-suite. To counter this, build a cross-functional team to guide your strategy. This approach ensures that risk is understood within the proper business context and that interventions are aligned with operational goals. You can use a Human Risk Management Maturity Model to assess your current capabilities and create a shared roadmap for improvement.

Enable Autonomous Response and Remediation

Identifying a high-risk individual is only the first step. The real value comes from taking swift, targeted action to reduce that risk. Modern HRM platforms can automate many of these responses with human oversight. For example, if the system detects that an employee is repeatedly failing phishing tests and has privileged access, it can autonomously enroll them in targeted micro-training or send a policy nudge. This approach provides a structured way to close security gaps without overwhelming your team. By automating routine remediation tasks, you free up your security professionals to focus on more complex threats. These automated solutions ensure that insights lead directly to action.

Common Challenges in Workforce Risk Profiling

Implementing a workforce risk profiling program is a significant step forward for any security team, but it’s not without its challenges. Shifting from a reactive security posture to a predictive one requires careful planning around technology, processes, and people. The most common hurdles involve navigating data privacy concerns, integrating with existing systems, and managing the organizational change that comes with a new approach to security. Addressing these challenges head-on is the key to building a successful and sustainable Human Risk Management program that protects your organization from the inside out. By anticipating these obstacles, you can create a clear strategy to overcome them and gain the buy-in needed to make a real impact on your security posture.

Address Data Privacy and Build Trust

When you start analyzing employee data to profile risk, questions about privacy are bound to come up. It’s critical to frame the conversation correctly from the start. The goal of Human Risk Management is not to monitor employees, but to understand risk indicators to better protect both them and the organization. Building trust begins with transparency and strong governance.

The most effective way to manage this is by creating a cross-functional council that includes leaders from legal, compliance, and other business units. This group can establish clear policies on what data is collected, how it’s used, and who can access it. Communicating this framework to the entire workforce helps demystify the process and reassures everyone that their privacy is respected.

Overcome Integration and Legacy System Hurdles

Your security and IT teams already manage a complex ecosystem of tools. The thought of adding another platform can be overwhelming, especially if it doesn’t play well with your existing infrastructure. A workforce risk profiling platform can't operate in a silo. To be effective, it must pull data from a wide range of sources, including identity and access management (IAM) systems, security tools, and training platforms.

A modern, AI-native platform is built for this reality. Look for a solution with robust APIs and pre-built integrations that can seamlessly connect to your current tech stack. This allows you to correlate risk signals across behavior, identity, and threat intelligence without a complicated and costly rip-and-replace project. The right tool unifies your data, giving you a comprehensive view of risk from day one.

Manage Organizational Change and Resistance

Any new initiative can face resistance, and a program that changes how you measure security risk is no exception. Some employees may feel targeted, while some leaders might be skeptical of a new approach. The key to overcoming this is to position workforce risk profiling as a supportive and empowering initiative, not a punitive one. It’s about shifting the culture from blame to proactive partnership.

Instead of just pointing out mistakes, the program should provide context and guidance to help employees become stronger defenders. Give teams a structured way to talk about the risks they encounter in their daily work. This not only provides valuable insights but also makes them active participants in the security process. By focusing on education and personalized support, you can build a culture where everyone is invested in reducing risk.

Best Practices for a Successful Program

Implementing a workforce risk profiling program requires more than just technology; it demands a strategic approach. By following a few core best practices, you can build a sustainable program that not only identifies risk but actively reduces it. This means moving from a checklist mentality to a continuous, data-driven cycle of measurement, analysis, and improvement. The goal is to create a security culture that is both aware and resilient, with processes that adapt as quickly as the threats you face. These practices will help you lay a solid foundation for predicting and preventing incidents before they impact your organization.

Establish Your Risk Baseline

Before you can measure improvement, you need to know where you stand. Establishing a risk baseline is the critical first step. This involves defining exactly what workforce risk means for your organization, including its potential impact on finances, operations, and compliance. As one Deloitte report notes, you must "Understand what workforce risk means for your company." A comprehensive baseline provides a clear, measurable starting point. You can begin to quantify this by analyzing signals across employee behavior, identity and access systems, and threat intelligence. This initial picture helps you prioritize your efforts and demonstrates the value of your program over time. Use a framework like the Human Risk Management Maturity Model to assess your current state and identify key areas for improvement.

Create a Dynamic Scoring Framework

Static, annual risk assessments are no longer sufficient. Your program needs a dynamic scoring framework that adapts to new information in real time. This is where you can "leverage advanced tools like AI and analytics to understand workforce data, make better decisions, and predict future risks." An AI-native Human Risk Management platform automates this process by continuously ingesting and correlating hundreds of risk signals. This creates a living risk profile for every individual and AI agent, not just a single score. The framework should weigh different factors based on their potential impact, giving you a nuanced understanding of your risk landscape. This allows you to see risk trajectories as they develop, not just after the fact.

Continuously Monitor and Improve

A successful program is never finished. Continuous monitoring is essential for proactive risk reduction. This means you need to "track early warning signs" and collect data on leading indicators to act before a problem escalates. Many organizations operate with a false sense of security, making ongoing vigilance critical. An AI guide can analyze evolving risk patterns and recommend specific, timely interventions, like adaptive training or policy nudges. This creates a feedback loop where you can measure the effectiveness of your actions and refine your strategy. This approach, validated by leading analysts in reports like the Forrester Wave™, ensures your program remains effective against emerging threats and changing behaviors.

How to Measure Your Program's Success

Implementing a workforce risk profiling program is a significant step, but its true value is realized when you can measure its impact. Tracking success isn't just about justifying the investment; it’s about demonstrating tangible risk reduction and continuously refining your strategy. A data-driven approach transforms human risk from an abstract concept into a manageable business metric. By establishing clear benchmarks and consistently tracking progress, you can show how your efforts are strengthening the organization’s security posture. This process ensures your program remains effective, adaptive, and aligned with your security goals.

Define Your KPIs and Metrics

You can't improve what you don't measure. The first step is to define what success looks like with clear Key Performance Indicators (KPIs) and metrics. Research shows that organizations with a clear definition of workforce risk are far more effective at managing it. Instead of relying on outdated metrics like training completion rates, focus on indicators that directly reflect risk reduction. Consider tracking the percentage decrease in successful phishing attacks, a reduction in policy violations, or a drop in employees categorized as high-risk. The goal is to measure real behavioral change. A Human Risk Management Maturity Model can help you benchmark your current state and set realistic goals.

Measure ROI and Business Impact

Security leaders are increasingly expected to demonstrate the business value of their programs. Measuring the return on investment (ROI) of workforce risk profiling involves connecting your KPIs to financial outcomes. You can start by calculating the potential cost of incidents you’ve prevented. For example, by reducing credential compromises, you can quantify the avoided costs of data breaches and downtime. The impact also extends to operational efficiency. As one case study found, giving employees a structured way to report risks helped an organization close safety gaps. By proactively addressing risky behaviors, you reduce the burden on your SOC and IR teams. Our HRM purchasing toolkit can help you build a compelling business case.

Develop a Strategy for Continuous Optimization

Workforce risk is not static. New threats emerge and employees change roles, so your program must be a living strategy. Continuous optimization relies on using data and insights from your KPIs to refine your approach. If a specific department struggles with data handling policies, you can deploy targeted micro-training or adjust access controls. Using data analysis and predictive analytics allows you to make informed decisions that improve resource allocation and lower costs. An AI-native platform provides the visibility you need to monitor trends and automate interventions, creating a cycle of continuous improvement that keeps your organization ahead of threats.

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Frequently Asked Questions

How is workforce risk profiling different from the security awareness training we already do? Traditional security awareness training often focuses on annual compliance and generic phishing tests, which rarely lead to lasting behavioral change. Workforce risk profiling is a completely different approach. Instead of one-size-fits-all content, it uses data to identify the specific risks tied to individuals and roles. This allows you to deliver personalized, timely interventions that actually address the root cause of risky behavior, moving your program from a reactive, compliance-based exercise to a proactive, preventative security function.

Is this just another way to monitor employees? How do you handle privacy? Not at all. The goal is to protect your employees and the organization, not to track their every move. Workforce risk profiling analyzes security-relevant data from existing systems, like access logs or threat alerts, to understand risk indicators. It does not monitor personal emails or private activity. We recommend establishing a cross-functional governance team to create clear policies on how data is used, ensuring the process is transparent and builds trust across the organization.

What kind of data is needed to build an accurate risk profile? A truly accurate profile requires a multidimensional view of risk. Our platform achieves this by correlating data from over 200 signals across three core pillars. First is employee behavior, which includes things like phishing simulation results and data handling habits. Second is identity and access, which tells you who has privileged permissions to critical systems. The third is real-time threat intelligence, which shows if an individual is being actively targeted. Weaving these sources together provides the context needed to see your true risk landscape.

Our team is already stretched thin. How much manual work is involved in managing this? We designed the platform specifically to reduce your team's workload. Manually analyzing hundreds of data signals is impossible, which is why our AI guide, Livvy, does the heavy lifting. Livvy analyzes patterns to predict risk and provides clear, evidence-based recommendations. More importantly, it can autonomously act on many routine findings, such as enrolling a user in a specific micro-training or sending a policy reminder, all while keeping your team in control with human-in-the-loop oversight.

How does this approach account for risks from non-human actors like AI agents? Your workforce is no longer just human, and your security strategy needs to reflect that. Our platform extends the same risk profiling principles to non-human actors, including AI agents and service accounts. It monitors their permissions, activities, and interactions with your systems to identify unusual patterns or overly permissive access that could be exploited. This gives you a single, unified view of risk across your entire modern workforce, covering both human and machine-driven activity.