Artificial intelligence is transforming how we approach security, moving us from a reactive posture to a proactive one. Instead of just responding to alerts, we can now anticipate threats before they lead to an incident. This is especially true for people risk management cybersecurity, where AI can analyze vast and diverse datasets to identify emerging risk trajectories. The leading Human Risk Management Platform from Living Security was built as an AI-native system to do exactly this. By correlating over 200 signals across behavior, identity, and threat intelligence, our platform predicts which individuals pose the greatest risk and guides teams to act, preventing incidents before they happen.
People Risk Management, often called PRM, is a strategic framework for addressing the single most dynamic variable in your security posture: people. It’s a comprehensive approach that moves beyond simply reacting to incidents. Instead, it focuses on proactively identifying, measuring, and mitigating the cybersecurity risks tied to human behavior. This means understanding how your employees, contractors, and even AI agents interact with sensitive data and systems, and recognizing where potential vulnerabilities might arise from those interactions.
Think of it as shifting from a defensive crouch to a forward-leaning stance. Rather than just building taller walls, you’re gaining visibility into what’s happening inside them. An effective PRM strategy doesn’t treat every employee as an identical risk. It uses data to understand who is most likely to cause an incident, why, and what specific interventions can change their behavior for the better. This data-driven approach allows security teams to manage human risk with the same rigor they apply to technical vulnerabilities, turning a potential liability into a strong line of defense. It’s about making human risk visible, measurable, and manageable.
Traditional security awareness training often feels like a checkbox exercise, delivering the same generic presentation to everyone from the CEO to a new intern. People Risk Management breaks from this one-size-fits-all model. Instead of relying on annual, forgettable training, PRM uses real data about employee actions to deliver targeted, relevant guidance when it’s needed most. The goal isn’t to blame people for making mistakes; it’s to empower them with the right knowledge and tools to make safer choices.
This approach helps foster a resilient security culture where employees are active participants, not passive observers. By moving beyond generic campaigns, you can provide personalized security awareness and training that addresses specific risky behaviors, turning your workforce into a proactive defense against evolving threats.
While you might hear the terms People Risk Management and Human Risk Management used interchangeably, there’s a key distinction. Human Risk Management (HRM), as defined by Living Security, represents the evolution of this strategy. It places a greater emphasis on deeply understanding, precisely measuring, and proactively mitigating risks that originate from human behavior. HRM is a forward-thinking approach that transforms how organizations manage security by correlating data across behavior, identity, and real-time threats.
Living Security, a leader in Human Risk Management, pioneers this category by applying predictive intelligence to anticipate risk before it leads to an incident. This modern framework also extends visibility to the actions of AI agents, helping you manage the growing intersection of human and machine-driven activity in your organization.
A common and dangerous misconception is that human error is a secondary concern in cybersecurity. The data tells a different story. Experts predict that human behavior will be a factor in the vast majority of data breaches. This isn't a minor issue; it's the central one. Ignoring it means leaving your most significant attack surface exposed and unmanaged.
Another myth is that risk is evenly distributed across your organization. In reality, a small group of users often accounts for a disproportionate number of security incidents. The 2025 Human Risk Report highlights that not all risks are equal, and a blanket approach to security training is inefficient. This proves that targeted interventions aimed at your highest-risk individuals are far more effective than generic, company-wide campaigns.
For decades, security investments have focused on fortifying networks and endpoints. Yet, the data consistently shows that the most significant and unpredictable vulnerability isn't a piece of technology; it's human behavior. People are the primary target for attackers and, often, the unwitting cause of security incidents. Understanding this reality is the first step toward building a more resilient security posture. A proactive approach to Human Risk Management (HRM) moves beyond simple awareness to address the root causes of this vulnerability, making risk visible and manageable before it leads to a breach.
The numbers behind human-driven breaches are staggering and paint a clear picture. Industry reports consistently find that human error is a factor in the vast majority of security incidents. The World Economic Forum, for example, found that human error is implicated in 95% of all cyber breaches. This isn't an isolated finding; other analyses show that anywhere from 68% to 90% of breaches involve a human element. These statistics highlight a critical gap in traditional security strategies. While firewalls and endpoint detection are essential, they don't address the risky clicks, weak passwords, and policy missteps that open the door for attackers. The 2025 Human Risk Report provides further insights into these trends.
To effectively manage human risk, you need a comprehensive view that goes beyond surface-level actions. A modern HRM program analyzes risk by correlating data across three core pillars: behavior, identity, and threat. Behavior data shows how people act, from their security training performance to their use of company systems. Identity and access data reveals who they are and what critical assets they can access. Finally, threat intelligence shows how they are being targeted by external adversaries. By combining these data streams, you can move from simply observing actions to understanding the context and intent behind them. This holistic approach allows you to identify not just risky individuals, but also those with elevated access who are being heavily targeted.
Many organizations believe their annual security training and phishing tests are enough to manage human risk. However, a compliance-first mindset often creates a false sense of security. Checking a box for training completion does not guarantee behavioral change or a reduction in actual risk. Most traditional security programs are reactive; they are designed to respond after an incident occurs, not prevent it. This approach fails to address the nuanced and evolving risks introduced by people. Effective security awareness and training must be continuous, personalized, and data-driven, focusing on changing behavior rather than just meeting a compliance mandate.
Effectively managing people risk requires moving beyond outdated security awareness programs. Security leaders often face persistent challenges when trying to build a resilient security culture and reduce human-driven incidents. Traditional approaches frequently fall short because they fail to account for the complexity of human behavior, the overwhelming volume of security data, and the critical need to demonstrate clear business value. For example, a single annual training session can’t possibly address the diverse risk levels across your entire workforce, from the C-suite to summer interns. This one-size-fits-all model is not only ineffective but also inefficient, wasting resources on low-risk employees while failing to provide targeted support for those who need it most.
Furthermore, security teams are often swimming in alerts from dozens of disconnected tools, leading to significant alert fatigue and making it nearly impossible to spot the signals that truly matter. This is where a modern approach to Human Risk Management (HRM) becomes essential. Instead of relying on simple completion rates or phishing clicks, an effective program correlates data across employee behavior, identity systems, and real-time threat intelligence. This provides a unified, actionable view of your risk landscape. Addressing these common hurdles is the first step toward building a proactive security posture that can predict and prevent incidents before they happen, all while proving its value to leadership.
A one-size-fits-all security program is destined to fail. Your workforce is not a monolith; it’s composed of individuals with varied roles, access levels, and security habits. Some employees might be new and unfamiliar with policies, while others may have ingrained behaviors that introduce risk. Research shows a small fraction of users, around 8%, are often responsible for 80% of security incidents. The primary challenge is identifying these high-risk individuals without wasting resources on those who already follow best practices. A successful program must pinpoint who needs intervention and tailor the guidance to their specific knowledge gaps and risk profile. This makes your efforts both targeted and highly effective, focusing attention where it's needed most.
Security teams are often drowning in data. The sheer volume of alerts from various security tools can lead to fatigue, making it difficult to distinguish real threats from background noise. This problem is compounded by the difficulty of quantifying human risk. Traditional metrics, like training completion rates or phishing click-throughs, offer an incomplete picture and don’t correlate to actual risk reduction. To move forward, teams need a way to consolidate signals from disparate systems, including behavior, identity, and threat data. This provides a clear, measurable view of risk that helps you focus on the most critical vulnerabilities instead of chasing every alert.
Keeping employees focused on security is a marathon, not a sprint. Engagement often peaks during a campaign or training event, only to fade over time. The challenge lies in making security a continuous and positive aspect of the daily workflow, not a punitive annual requirement. When training is generic or feels like a test, employees disengage. The goal of a modern security awareness and training program is to empower employees, not blame them. By providing personalized, timely nudges and micro-training that relates directly to their actions, you can build lasting habits and foster a culture where security is a shared responsibility.
Security leaders are under constant pressure to justify their budgets and demonstrate the value of their programs. Proving the return on investment for people risk management is a significant challenge, especially when using outdated metrics. The board doesn't want to hear about click rates; they want to understand how your initiatives reduce the likelihood of a costly breach. An effective Human Risk Management (HRM) program translates security efforts into business outcomes. By tracking metrics like the reduction in high-risk users and a measurable decrease in incidents, you can build a compelling business case and show how proactive risk management strengthens the organization’s financial standing.
An effective People Risk Management (PRM) program is a dynamic, data-driven system, not just a checklist of annual tasks. It moves beyond traditional awareness campaigns to actively manage and reduce human-driven risk. Human Risk Management (HRM), as defined by Living Security, is a comprehensive approach that integrates various components into a single, cohesive strategy. Instead of treating training, phishing tests, and policy enforcement as separate activities, a modern program unifies them to provide a complete picture of organizational risk.
This approach is built on a foundation of making human risk visible, measurable, and actionable. It starts by collecting and correlating signals across employee behavior, identity and access systems, and real-time threat intelligence. An effective program uses this data to understand risk trajectories before they lead to an incident. The core components include continuous training, realistic threat simulations, clear visibility into access privileges, and simplified reporting processes. It also extends to the modern workforce by monitoring the activities of AI agents and other non-human actors. By integrating these elements, organizations can move from a reactive posture to a proactive one, guided by the predictive intelligence of a platform like Living Security, the leading Human Risk Management Platform.
Effective security training is not a one-time event but a continuous, adaptive process. The old model of annual, generic training sessions is no longer sufficient to combat modern threats. Instead, a strong program delivers ongoing education that is relevant to each employee's specific role and risk profile. Human Risk Management (HRM) provides a comprehensive approach that goes far beyond traditional security training by focusing on the context of human actions.
This means delivering targeted micro-trainings and nudges at the moment of need, reinforcing secure habits in real time. For example, if an employee repeatedly clicks on simulation emails, the system can automatically assign a short, focused training module on identifying phishing attempts. This ensures the right guidance reaches the right person when it matters most, making your security awareness and training efforts far more impactful.
Phishing simulations are a cornerstone of any effective PRM program, serving as both a training tool and a critical source of behavioral data. Implementing regular, realistic simulations is essential for assessing how well employees can spot and respond to threats. These exercises help your team build the muscle memory needed to instinctively recognize a malicious email and report it correctly.
Beyond just testing, the data from these simulations provides invaluable insight into your organization's risk landscape. When you run phishing simulations, you gather behavioral signals that, when correlated with identity and threat data, help identify high-risk individuals and departments. This allows you to move beyond simple click rates and understand the nuanced behaviors that contribute to your overall risk posture, reinforcing training with real-world practice.
An employee with poor security habits is a concern, but that same employee with privileged access to sensitive systems is a critical vulnerability. This is why an effective PRM program must provide deep visibility into identity and access risk. Understanding who has access to what is a crucial piece of the human risk puzzle, providing essential context to behavioral data.
By correlating behavioral signals with identity and access management (IAM) data, you can prioritize risks more effectively. The Living Security platform helps you identify individuals who not only exhibit risky behaviors but also hold keys to your most critical assets. This allows for tailored interventions, such as adjusting access levels or providing specialized training, that directly address the most significant threats to your organization.
Your employees can be your greatest asset in identifying threats, but only if they feel empowered to speak up. Complicated or punitive reporting processes discourage people from reporting suspicious activity, leaving security teams in the dark. To foster a strong security culture, it is essential to make the process of reporting potential incidents as straightforward and accessible as possible.
An effective program simplifies reporting with clear, easy-to-use tools that encourage employees to act as an extension of the security team. This not only accelerates incident detection but also reinforces a culture of shared responsibility and proactive engagement. By making reporting a positive and simple action, you gather more intelligence from the front lines and strengthen your overall Human Risk Management strategy.
In today's enterprise, risk is no longer limited to human employees. AI agents, service accounts, and other non-human actors interact with critical systems and data, creating new and complex vulnerabilities. A forward-thinking PRM program must extend its visibility to monitor these non-human entities and manage the risks they introduce.
HRM represents a modern approach to cybersecurity that considers the security implications of both human behavior and the growing use of AI agents. This involves analyzing the behavior and access patterns of non-human actors with the same rigor applied to human users. By monitoring this intersection of human and machine-driven risk, your organization can adapt its security solutions to protect against an evolving threat landscape and secure the entire modern workforce.
Measuring human risk effectively requires moving past outdated, single-point metrics and embracing a comprehensive, data-driven approach. Simply tracking compliance rates or phishing clicks provides a flat, incomplete picture of your organization's risk landscape. True measurement is about understanding the dynamic interplay between human behavior, system access, and external threats. An effective Human Risk Management (HRM) program makes this risk visible and quantifiable, transforming abstract threats into actionable intelligence.
By correlating data across the enterprise, you can identify patterns and predict outcomes, shifting your security posture from reactive to proactive. The leading Human Risk Management Platform achieves this by analyzing hundreds of signals to provide a clear, contextualized view of risk. This allows security teams to stop guessing where the next incident will come from and start making informed decisions based on predictive insights. Instead of just reacting to breaches, you can anticipate and prevent them by understanding the risk trajectories of individuals and groups within your organization. This foundational step is critical for building a resilient security culture and proving the value of your security initiatives to the board.
Relying solely on phishing click rates to measure security awareness is like judging a driver's skill by whether they hit a pothole. It’s a lagging indicator that misses the bigger picture. While traditional training often focuses on information delivery, Human Risk Management (HRM) uses real data about how people act to guide specific, targeted support. A low click rate might feel like a win, but it doesn't tell you if employees are actively reporting suspicious emails or if they simply missed the simulation.
A mature measurement strategy incorporates positive indicators, such as reporting rates and the speed of reporting. It integrates data from phishing simulations with other behavioral signals to understand an individual’s overall risk profile. This approach moves the goal from merely avoiding clicks to building a vigilant workforce that acts as an extension of the security team.
A single data point rarely tells the whole story. To truly understand risk, you must connect the dots between how people act, the access they have, and the threats they face. Effective Human Risk Management combines information from these three critical pillars: employee behavior, identity and access systems, and real-time threat intelligence. This creates a multi-dimensional view that reveals not just isolated events, but developing risk trajectories.
For example, an employee who frequently fails phishing tests is a concern. But if that same employee also has privileged access to sensitive data and is being targeted by a known threat actor, the risk is exponentially higher. By mapping these interconnected signals, security teams can move from monitoring isolated incidents to understanding the contextual narrative of risk as it evolves over time.
The ultimate goal of measurement is not just to report on the past, but to predict the future. Research shows that a small fraction of users, around 8%, are often responsible for 80% of security incidents. Advanced HRM platforms use AI to analyze hundreds of signals from identity systems, collaboration tools, and security infrastructure to identify which individuals and roles are on a high-risk trajectory, often before they are even aware of it.
This predictive capability allows security teams to focus resources efficiently. Instead of applying one-size-fits-all training, you can deliver targeted interventions to the individuals who need them most. As recognized by analysts in the Forrester Wave™ report, this proactive stance enables organizations to neutralize threats before they escalate into costly incidents, fundamentally changing the security game.
Building an effective People Risk Management (PRM) framework is a strategic process that shifts your organization from a reactive to a proactive security posture. It’s about creating a systematic, measurable, and sustainable program that addresses the human element of cybersecurity head-on. Instead of one-off campaigns, this framework provides a continuous cycle of identifying, measuring, and mitigating risk. By following these five steps, you can build a data-driven foundation that not only changes employee behavior but also proves its value to leadership. This approach moves beyond simple compliance, creating a resilient security culture that can adapt to an ever-changing threat landscape.
You can’t manage what you can’t measure. The first step in building a robust framework is to make human risk visible and quantifiable. Human Risk Management (HRM), as defined by Living Security, is a comprehensive approach that focuses on finding, measuring, and reducing the risks people introduce. This begins by aggregating and correlating data from multiple sources to create a holistic baseline of your current risk posture. The leading Human Risk Management Platform pulls signals from across your security and business tools, analyzing indicators across three core pillars: employee behavior, identity and access systems, and real-time threat intelligence. This data-driven foundation gives you a clear starting point, allowing you to understand where your vulnerabilities lie before you try to fix them.
Not all risk is created equal. Research from our partners at the Cyentia Institute shows that a small fraction of users is often responsible for a large majority of security incidents. A key part of your framework is using your data baseline to pinpoint where the greatest risks exist. This isn't about pointing fingers; it's about strategic prioritization. An effective Human Risk Management program helps you identify which individuals are exhibiting risky behaviors, which roles have elevated access that could be exploited, and which employees are being heavily targeted by external threats. By focusing your resources on these high-risk concentrations, you can achieve a much greater impact than with a broad, generalized approach.
Once you know where your highest risks are, you can move beyond generic, one-size-fits-all training. The most effective way to change behavior is with timely, relevant, and personalized interventions. Based on the data you’ve collected, you can deliver the right support to the right person at the right moment. For an employee who repeatedly fails phishing tests, this might mean a targeted phishing simulation. For a developer saving code with sensitive credentials, it could be a quick micro-learning module on secure coding practices. This personalized approach respects employees' time, makes the guidance more likely to stick, and directly addresses the specific behaviors that are introducing risk into your organization.
Delivering personalized interventions to every employee manually is not scalable for any enterprise. This is where technology becomes a powerful ally. An AI-native HRM platform can automate and orchestrate many of these routine remediation tasks. For example, the system can automatically assign adaptive training based on a user’s risk score or send a policy reminder after a specific action is detected. This automation frees up your security team to focus on more complex strategic initiatives. Crucially, this is done with AI with human oversight. Security teams define the rules, approve the workflows, and maintain full control, ensuring the platform acts as an extension of their expertise and strategy.
The threat landscape is always evolving, and so is your organization. A successful People Risk Management framework is not a "set it and forget it" project; it's a continuous improvement cycle. The final step is to constantly monitor the effectiveness of your interventions, measure the reduction in risk over time, and refine your approach based on new data. Are your targeted trainings reducing risky behaviors? Are phishing click rates declining in high-risk groups? As a recognized leader in the Forrester Wave™ for Security Awareness and Training, we know that this feedback loop is critical for demonstrating ROI and ensuring the long-term success and maturity of your program.
Effectively managing people risk is not a siloed function; it’s a shared responsibility that requires collaboration across your entire security organization. While a single person might lead the initiative, a successful Human Risk Management (HRM) program integrates the unique expertise and objectives of several key teams. This collaborative approach ensures that risk is understood and addressed from every angle, from high-level strategy and compliance to frontline incident response and employee education. When these teams work together, they create a resilient security culture that protects the organization from the inside out.
CISOs and security leaders are the primary strategic owners of people risk. They are responsible for championing the shift from traditional security awareness to a proactive Human Risk Management framework. Their role is to understand and articulate why people and AI agents introduce risk and to secure the executive buy-in and budget needed for a data-driven program. By aligning HRM objectives with broader business goals, they can effectively demonstrate the program's value to the board. Leadership sets the vision, defines success, and ensures that managing human-driven threats is a top-level priority for the entire organization.
Governance, Risk, and Compliance (GRC) teams operationalize people risk management by connecting it to tangible controls and regulatory requirements. They use the rich data from an HRM platform to move beyond a simple check-the-box approach to compliance. Instead of applying a one-size-fits-all training model, GRC teams can use risk intelligence to identify the most vulnerable individuals and roles. This allows them to implement targeted interventions that not only satisfy auditors but also measurably reduce the organization's risk exposure. This makes compliance efforts more efficient and transforms them into a true risk reduction activity.
For Security Operations Center (SOC) and Incident Response (IR) teams, people risk data provides critical context that accelerates their workflow. When an alert fires, knowing the risk profile of the user involved helps analysts prioritize threats more effectively. An HRM platform that correlates behavior, identity, and threat data offers a real-time view into which users are most likely to be compromised or cause an incident. This intelligence allows SOC and IR teams to shorten investigation times, understand the human element behind an attack, and respond with greater precision when every second matters.
Security Awareness teams are on the front lines, executing the behavior change programs that form the core of HRM. They use people risk data to evolve beyond generic annual training, instead designing and delivering personalized interventions. This includes running sophisticated phishing simulations that mimic real-world threats and deploying targeted micro-training based on an individual’s specific risky actions. By focusing on reinforcing secure habits rather than just sharing information, these teams are instrumental in building employee resilience. They are the hands-on owners of creating a security-savvy workforce that acts as a strong line of defense.
A strong security culture is the bedrock of any effective People Risk Management program. It’s an environment where secure behaviors are instinctual and security is a shared value, not just a department’s responsibility. This culture moves beyond posters in the breakroom and annual training modules. It’s about embedding security into the daily fabric of your organization, from the C-suite to the newest hire. When your team understands the "why" behind security policies, they become your first line of defense instead of a potential vulnerability.
Building this culture doesn't happen by accident. It requires a deliberate strategy that makes security visible, understandable, and actionable for everyone. This is where a Human Risk Management (HRM) framework becomes essential. It provides the tools to measure behaviors, identify risks, and deliver targeted interventions that reinforce positive habits. A strong culture is proactive, not reactive. It’s about creating an organization that is resilient by design, with employees who are empowered to make smart security decisions every day. This collective commitment is what transforms your human element from a liability into your greatest security asset.
A security culture starts at the top. Without genuine leadership buy-in, even the best security initiatives will struggle to gain traction. When executives and managers actively champion security, they send a clear message that it is a core business priority. This goes beyond simply approving a budget. It means leaders model secure behaviors, ask about security in project meetings, and hold their teams accountable. To get this level of engagement, you need to speak their language. An effective HRM platform helps show clear results, like fewer high-risk users and fewer incidents, which is exactly the kind of outcome leaders care about.
People respond better to positive reinforcement than to penalties. To build a lasting security culture, you need to encourage good security habits by recognizing and rewarding people who follow best practices. When an employee spots and reports a sophisticated phishing attempt, celebrate it. This can be as simple as a shout-out in a team meeting or a small reward. By making these positive actions visible, you reinforce the desired behavior across the organization. This approach helps shift the perception of security from a set of restrictive rules to a collective effort where everyone’s contribution is valued. It fosters a sense of ownership and shared responsibility for protecting the company.
Mistakes will happen. The critical difference between a minor issue and a major breach is often how quickly that mistake is reported. For that to happen, you need a culture of open, non-punitive reporting where employees feel safe admitting they clicked a link or noticed something unusual without fear of blame or punishment. The goal of HRM is to make people safer, not to point fingers. When employees trust that the security team is there to help, they become an invaluable source of early threat intelligence. This psychological safety is vital for building a resilient organization that can quickly identify and respond to threats before they escalate.
Checking a box for annual compliance training is not a security strategy. A strong security culture moves from just reacting to problems to actively preventing them. While compliance provides a necessary baseline, a proactive culture aims much higher. It’s about fostering an environment where employees are not just compliant but are actively engaged in reducing risk because they understand its importance. This means leveraging predictive intelligence to identify potential threats before they materialize. By using data from behavior, identity, and threat systems, you can get ahead of risk and make your security posture much stronger.
Artificial intelligence is fundamentally changing the equation for managing people-related risk. Instead of relying on manual analysis and lagging indicators, security teams can now use AI to process and correlate massive amounts of data in real time. This shift moves the practice from a reactive posture to a proactive one, allowing you to anticipate threats before they materialize. An AI-native Human Risk Management (HRM) platform analyzes over 200 signals across employee behavior, identity systems, and threat intelligence to deliver a clear, predictive view of your risk landscape. This comprehensive analysis provides the context needed to move beyond simple awareness and toward genuine risk reduction.
Living Security, a leader in Human Risk Management (HRM), developed the industry’s first AI-native platform to address this need directly. It was built from the ground up to predict and prevent security incidents driven by both human and AI-based activity. At the platform's core, an AI guide named Livvy serves as a reasoning engine, helping teams understand evolving risk trajectories and identify the specific individuals or access points that pose the greatest threat. This approach allows you to get ahead of incidents by understanding the why behind the risk, not just the what.
Traditional cybersecurity tools are designed to be reactive. They generate an alert after a policy has been violated or a malicious file has been detected, forcing your team into a constant cycle of response. Predictive intelligence flips this model on its head. Instead of waiting for an alarm, an AI-driven Human Risk Management platform learns from diverse signals across your organization to anticipate where risks are most likely to emerge before they lead to an incident. By correlating data from identity systems, collaboration tools, and security endpoints, the platform can identify subtle patterns that signal increasing risk. This allows you to intervene early and prevent a breach, rather than cleaning up after one.
Adopting AI doesn't mean handing over control. The most effective approach combines the analytical power of AI with the strategic expertise of your security team. An AI-native platform is designed to learn and improve over time, providing far more context than legacy tools. It can autonomously execute 60 to 80% of routine remediation tasks, like assigning targeted micro-training or sending policy reminders, but it operates with human-in-the-loop oversight. Your team sets the rules and thresholds, and the AI acts as an intelligent guide, providing evidence-based recommendations with clear reasoning. This frees your experts from repetitive tasks so they can focus on high-level strategy and complex threat investigation.
The modern workforce is no longer composed of just people. AI agents and other non-human actors are increasingly integrated into business processes, interacting with sensitive data and critical systems. These agents introduce a new and growing vector for risk. An effective people risk management strategy must therefore extend its visibility to include these non-human identities. By monitoring the behavior and access patterns of AI agents, you can manage the expanding intersection of human and machine-driven risk. The Living Security platform provides this unified view, helping you secure your entire distributed workforce, no matter who or what is doing the work.
Traditional security awareness programs often fall short because they rely on one-size-fits-all training and reactive measures. This approach fails to address the root causes of risky behavior, leaving organizations vulnerable. Human Risk Management (HRM) offers a new way forward, shifting the focus from simple compliance to proactively changing the behaviors of both people and AI agents that introduce risk. It’s about understanding the why behind risky actions to prevent incidents before they happen.
Living Security, a leader in Human Risk Management (HRM), is redefining this category with the industry’s first AI-native platform. Instead of just detecting and responding to threats, our approach is built to predict and prevent them. We do this by analyzing over 200 signals across three critical data pillars: employee behavior, identity and access systems, and real-time threat intelligence. This comprehensive view provides actionable visibility into risk trajectories, allowing you to see and address vulnerabilities before they are exploited.
At the core of this redefinition is Livvy, an AI guide built on the world’s largest HRM dataset. Livvy serves as the platform's reasoning engine to predict emerging threats, guide your team with evidence-based recommendations, and autonomously execute routine remediation tasks, all with human-in-the-loop oversight. This transforms your security program from a reactive function into a proactive force. By providing the tools to understand and manage the full context of risk, our Human Risk Management solution helps you build a resilient security culture and turn your people into a formidable line of defense.
What's the main difference between People Risk Management (PRM) and Human Risk Management (HRM)? Think of Human Risk Management (HRM) as the next evolution of People Risk Management. While both focus on the risks people introduce, HRM, as defined by Living Security, is a more advanced, data-driven approach. It moves beyond just managing human actions by correlating data across three core pillars: employee behavior, identity and access systems, and real-time threat intelligence. This allows HRM to not only measure risk but also predict it, extending visibility to include the actions of AI agents for a complete view of your modern workforce.
We already have security awareness training. Why do we need to change our approach? Traditional security awareness training often serves as a compliance checkbox, delivering the same generic content to everyone. This method is inefficient because it doesn't address the specific behaviors that introduce the most risk. An effective Human Risk Management program uses data to identify your highest-risk individuals and delivers personalized, timely interventions that actually change behavior. The goal is to move from a one-size-fits-all model to a targeted strategy that measurably reduces incidents, not just completion rates.
How does an HRM platform actually predict risk? What data does it use? A predictive platform doesn't just look at one type of activity. Living Security, a leader in Human Risk Management (HRM), analyzes over 200 signals from across your organization to build a complete picture of risk. It correlates data from three critical sources: behavioral data (like training performance and system usage), identity and access data (who has access to what), and threat intelligence (who is being targeted by attackers). By connecting these dots, the AI-native platform can identify developing risk trajectories and predict which individuals are most likely to cause an incident before it happens.
How can I trust AI to manage risk without losing control? This is a valid concern, and the answer lies in a partnership between technology and your team. An effective HRM platform uses AI with human oversight. The AI acts as an intelligent guide, automating routine tasks like assigning micro-trainings or sending policy reminders based on rules your team defines. It provides evidence-based recommendations with clear reasoning, but your security experts always remain in control. This frees up your team from repetitive work so they can focus on high-level strategy while ensuring the platform operates as an extension of their expertise.
This seems like a big shift. What's the first practical step to building an HRM framework? The first and most important step is to establish a data-driven baseline. You can't effectively manage risk until you can see it and measure it. This involves connecting your various security and business tools to a central platform that can correlate signals across behavior, identity, and threats. This initial analysis gives you a clear, quantifiable starting point, showing you where your biggest vulnerabilities are. From there, you can begin to prioritize your efforts and build a targeted, effective program.