A notable statistic continues to shape the cybersecurity research landscape: the human element remains involved in roughly 60% of all confirmed breaches. That’s according to the 2025 Verizon Data Breach Investigations Report (DBIR), which found that social engineering actions like phishing, pretexting, and credential misuse are consistently intertwined with today’s most common attack paths, even when they are not the first visible technical vector.
This trend is echoed in Arctic Wolf’s recent findings. In the 2026 Threat Report, the company reported that business email compromise (BEC) accounted for more than 1 in 4 of all Arctic Wolf Incident Response engagements, with 85% of those cases being traced back to social engineering. Complementing that data, Arctic Wolf’s 2025 Human Risk Behavior Snapshot found nearly two‑thirds of IT leaders and half of employees admitted to clicking a phishing link — demonstrating how frequently human action creates opportunity for attackers.
Numbers aside, recent headline‑making breaches highlight how decisive the human factor has become. The widely reported Qantas breach, as well as attacks on Harvard and Princeton, demonstrate how a single vishing attack can cascade into enterprise‑wide disruption, extended downtime, and millions in financial impact. And social engineering also played a major role in the 2025 attack on Jaguar Land Rover — widely expected to be the most economically damaging cyber event in U.K. history.
As identity becomes the new perimeter and artificial intelligence (AI) permits threat actors to craft more compelling social engineering attacks faster, two terms have moved to the forefront of security conversations: human risk and human risk management. Far from being buzzwords, they reflect a growing reality confirmed by cybersecurity data: most modern breaches don’t start with systems — they start with people. To keep pace with threat actors, organizations must treat users as a critical part of their attack surface and focus on reducing the risk introduced by everyday human behavior.
What is Human Risk and Human Risk Management?
Human Risk
Human risk is the possibility of errors a user can make, either intentional or accidental, that leads to a cybersecurity incident or compromises valuable assets within an organization. As organizations turn to web-based applications, hybrid work models, and embrace digitization, this risk grows. Users are now utilizing credentials to log into mission-critical applications, which creates a massive risk if those credentials or access were to be compromised.
Take phishing, for example. A widely popular and reliable tactic for threat actors, a phishing email could be sent to an organization’s growing user base, and if one user falls for the attempt, a threat actor could use those credentials to gain initial access, and then use subsequent social engineering tactics to move deeper into a system and launch a sophisticated attack. As both the use of phishing and an organization’s reliance on credentials, applications, and users grow, so does human risk.
Human risk represents the measurable likelihood that user behavior — intentional or unintentional — will introduce security exposure, resulting in compromised identities, unauthorized access, or downstream incidents. As organizations adopt cloud‑first architectures, SaaS‑based business applications, and hybrid work models, the attack surface has shifted decisively toward identity and access. Users now authenticate into mission‑critical systems dozens of times per day, making credentials and session context high‑value targets. When access is misused, over‑privileged, or compromised, the resulting blast radius can extend well beyond a single user or system.
Phishing illustrates how human risk manifests operationally. At scale, phishing remains a low‑cost, high‑success initial access technique that exploits both human behavior and identity dependencies. A single successful interaction, such as credential submission or MFA fatigue approval, can provide adversaries with legitimate access, enabling follow‑on social engineering, lateral movement, and privilege escalation without immediately triggering traditional security controls. As organizations increase their reliance on identity‑driven architectures, distributed applications, and user‑initiated workflows, human risk grows in parallel unless it is actively measured, monitored, and reduced through a data‑driven human risk management strategy.
Human Risk Management
Human risk management is an operational security approach that focuses on understanding, prioritizing, and reducing risk introduced by user behavior over time. As with other core security functions like vulnerability remediation, threat detection, and incident preparedness, it applies structured analysis and continuous measurement to an organization’s people layer. By correlating identity activity, access patterns, and behavioral signals, human risk management enables security teams to treat human-driven exposure as a manageable and measurable component of total cyber risk.
Industry research firms have helped formalize this shift away from ad hoc awareness efforts toward a more systematic model. Forrester describes human risk management as an emerging category of solutions designed to address cybersecurity risk associated with human interaction — both the risk users create and the risk they face. Framed this way, human risk management becomes a strategic extension of security operations, applying data and discipline to the one attack surface that traditional controls were never designed to fully contain.
Why Human Risk Is Today’s Biggest Cybersecurity Challenge
Human behavior has emerged as a dominant attack vector because it introduces variability and unpredictability that technical controls alone cannot fully mitigate. Phishing and social engineering tactics continue to be among the most effective mechanisms for initial compromise because they bypass many automated defenses by targeting blind spots in human users.
Our research finds that senior leadership are prime targets for these types of attacks, with 39% of C-suite members encountering phishing attempts and 35% experiencing malware infections that jeopardize high-privilege accounts. These statistics underscore that attacks increasingly exploit trusted relationships and employee decision-making rather than technical vulnerabilities alone.
Moreover, our research finds that the integration of generative AI into everyday workflows introduces new dimensions of risk, with 80% of IT leaders and 63% of employees reporting that they use generative AI tools for work, with 60% of those IT leaders and 41% of those employees admitting to inputting confidential data into those tools. This risky behavior amplifies exposure to data leakage and misclassification risks if safeguards and usage policies aren’t rigorously enforced.
The persistence of human risk also stems from organizational culture and risk management practices that lag behind evolving threat tactics. While 77% of IT leaders say they would terminate personnel who fall for scams, 88% of those who’ve implemented additional training instead of punishment state this approach is effective. At the same time, basic security hygiene remains inconsistent, with only 54% of organizations enforcing multi-factor authentication (MFA) across all accounts. By not fully implementing this table-stakes security control, organizations leave low-privilege, and new user vectors exposed.
In short, technical solutions, no matter how advanced, cannot compensate for insufficient workforce engagement, training, awareness, and adaptive policies that align human behavior with organizational security objectives. It is for this principal reason that human risk remains the biggest cybersecurity challenge in the modern threat landscape.
How Does Human Risk Turn into Threats and Incidents?
In practice, “human risk” is rarely a single mistake — it’s a sequence of human‑assisted control failures that threat actors chain together. A typical flow looks like this:
Recon + Target Selection
- Open-source intelligence (OSINT) on org charts, vendors, finance workflows (AP/AR), executive assistants, and help desk processes
- “Pretext engineering,” which mirrors internal terminology, ticket formats, or vendor communication cadence
Initial Social Engineering Delivery
- Email (phishing/BEC lures), voice (vishing/help desk), SMS, or collaboration platforms
- Lures increasingly aim for access actions, not malware deployment.
Credential Capture or Session Acquisition
Threat actors don’t just steal passwords; they harvest authentication artifacts that bypass controls:
- Credential harvesting via spoofed IdP pages (M365/Okta/Google), often with real‑time relays to the legitimate login to reduce suspicion
- MFA interception (OTP relay), push fatigue (“prompt bombing”), or social coercion to approve an unexpected prompt
- Session/token hijack using reverse‑proxy tooling (captures cookies/session tokens after successful MFA), enabling access that looks like a valid user session
Establish Persistence in Identity and Email
Once authenticated, attackers commonly create “quiet” footholds that survive password resets:
- Mailbox rule abuse, including auto‑forwarding, hiding security alerts, and moving finance threads to RSS/Archive
- OAuth consent abuse, including malicious/over‑privileged app grants to maintain API access to mail/files
- MFA enrollment changes like adding a new factor or device, or help‑desk assisted resets if processes are weak
- Conditional access evasion using residential proxies/VPNs to blend geo/ASN patterns
Internal Discovery + Lateral Movement
- In BEC: Inbox reconnaissance to learn payment approval chains, vendor relationships, invoice templates, and timing.
- In intrusion staging: Pivot into SharePoint/OneDrive/Teams for sensitive docs; enumerate internal apps; search for admin portals, VPN, RDP exposure, or privileged identities.
Verizon’s 2025 DBIR highlights that credential abuse (22%) remains the leading initial access vector, underscoring why authenticated discovery and lateral movement are so common.
Action on Objectives
- BEC execution: thread hijacking, vendor payment diversion, payroll reroute, or gift‑card/urgent transfer scams.
- Intrusion escalation: privilege escalation via password spraying, token reuse, or exploiting internal misconfigurations.
- Ransomware staging: if access expands, adversaries move toward remote execution, data staging, and eventual encryption/exfiltration.
As shown above, Arctic Wolf’s 2025 dataset shows these pathways aren’t theoretical — they map to the incident classes dominating our IR engagements.
Why Human Risk Isn’t “User Error”
When users are at the heart of a successful breach, it’s easy to blame them for their mistakes. However, the truth is that human risk typically expands and becomes more susceptible to failure when process and control coverage are incomplete:
- Identity controls aren’t enforced universally
- Detection coverage can’t see identity‑centric attacker behavior
- Response procedures don’t treat user‑reported events as high‑signal
- Security awareness is not coupled to enforcement
When viewed from this angle, then, the outcome is predictable: As organizations rely more on SaaS, SSO, and identity‑mediated workflows, attackers increasingly win by manipulating people and then hiding behind legitimate access.
Why Humans Make Risky Decisions
- Overconfidence: People think they won’t fall for phishing
- Urgency Pressure: Fake “act now” deadlines short‑circuit judgment, a classic tactic across phishing and BEC playbooks
- Authority Pull: Messages appearing to come from executives or IT drive compliance
- Cognitive Fatigue: MFA‑prompt bombing and alert overload push users toward quick, incorrect approvals
- Familiarity + Trust: Thread‑hijacked emails and look‑alike vendor messages feel “normal,” lowering suspicion
- Fear of Consequences: Users avoid reporting mistakes, giving attackers extra dwell time
The Human Risk Management Lifecycle
Most organizations follow a predictable maturity curve when addressing human risk, beginning in an ineffective reactive posture, before hopefully maturing into a robust, proactive model that actively reduces human risk.
Phase 1: Reactive Awareness
- Often triggered by a breach, audit finding, or board inquiry
- Annual compliance training becomes the primary control
- Phishing simulations are deployed without behavioral context
- Success is measured by training completion rates, not risk reduction
Phase 2: Detection Without Attribution
- Security teams see user-initiated alerts like phishing clicks and credential reuse spike
- There’s limited visibility into who is high risk and why
- Alert fatigue shifts the focus away from behavior and onto tooling
Phase 3: Control-First Remediation
- Blanket technical controls like conditional access and strict email filtering are rolled out
- Legitimate workflows are disrupted
- Shadow IT and workarounds increase
- Users adapt faster than the policies do
Phase 4: Behavior-Driven Risk Modeling
- Maturity increases as identity telemetry, endpoint behavior, and training data are correlated
- Risk scoring is applied at the user and role level
- High-risk users are prioritized for targeted intervention
- Security operations and awareness programs become aligned
Phase 5: Continuous Optimization Loop
- Real-time human risk signals feed SOC workflows
- Training becomes adaptive and role-specific
- Leadership dashboards track behavioral risk reduction, not just incidents
- Human risk becomes a measurable security control — not a checkbox
Why Human Risk Management is a Business Imperative
Human risk management is not a single control or point solution. Rather, it is a foundational security discipline that must operate continuously and at scale, much like vulnerability management. When organizations address human risk in isolation, by focusing on one control while neglecting others, they leave critical portions of their attack surface exposed. To meaningfully reduce risk, human risk management must be treated as a business‑critical, multi‑layered capability, not an optional security add‑on.
A mature human risk management strategy brings multiple components together, including:
- Identity and access management (IAM) to ensure identities are correctly provisioned, least‑privileged, and continuously monitored as users interact with business‑critical systems
- Identity threat detection and response (ITDR) to detect and contain anomalous identity behavior, such as suspicious logins, token misuse, or abnormal access patterns
- Strong access controls, including MFA, to provide resilience when credentials are exposed, whether through phishing, reuse, or third‑party compromise
- Security awareness and behavioral training that equips employees to recognize social engineering, understand their role in risk creation, and act decisively when something appears wrong
While each of these elements is essential, security awareness training plays a uniquely strategic role. It is the only control that directly influences decision‑making at the point of attack — before credentials are entered, approvals are granted, or business processes are manipulated. When reinforced with technical controls and measurable outcomes, training becomes a lever for cultural change, transforming employees from an unmanaged risk factor into an active line of defense.
In that sense, human risk management is not just a security initiative, it is a business imperative. Organizations that invest in it proactively are better positioned to reduce incident frequency, limit blast radius, and sustain operational resilience as attackers continue to target people first.
Human Risk Management and Security Awareness Training
Human risk management cannot be effective without security awareness training, but it’s not enough to simply have training. The quality, frequency, and behavioral impact of that training will ultimately determine whether it meaningfully reduces human risk or simply satisfies a requirement.
Meeting compliance or annual training requirements is not the primary objective. Instead, the goal is to drive sustained behavior change and strengthen security culture, treating awareness as an outcome of risk reduction, not the other way around. One‑time or infrequent training, such as an annual phishing video or compliance module, does little to prepare employees for the tactics they encounter in real attacks. Threat actors continuously evolve their social engineering techniques, and static training quickly becomes outdated. Without reinforcement, simulation, and feedback loops, employees are left unprepared to recognize and respond to modern threats, and human risk remains largely unchanged.
Effective human risk management requires continuous engagement paired with technical enforcement. Arctic Wolf Managed Security Awareness® is designed with this principle in mind, focusing on observable behavior, organizational culture, and measurable risk reduction. The solution combines regularly updated, digestible content with phishing simulations and performance insights to help organizations identify risk trends and reinforce secure behaviors over time.
Critically, this training operates as part of a broader security operations framework. Arctic Wolf® Managed Detection and Response (MDR) continuously monitors identity sources and user activity, while Arctic Wolf Security Teams work directly with your in-house IT to implement access controls, harden identity configurations, and respond to suspicious behavior. Together, these capabilities ensure that human risk management is not treated as a standalone initiative, but as an integrated, business‑critical function that reduces exposure across the human attack surface.
See how gaps between IT leaders and end users shape human risk, and what it means for security outcomes, in the 2025 Human Risk Behavior Snapshot.
Explore how threat actors are targeting your users, and how you can fight back with our 2026 Threat Report.
