Human-Centered Service Design

The next-generation CISO will be half hacker, half psychologist. Over the last three decades, I have watched security technology evolve in layers. From signature-based antivirus to EDR, from EDR to XDR, and now to AI-assisted detection systems that promise predictive intelligence. And yet, when I sit down and study most serious breaches, the root cause rarely begins with a sophisticated zero-day exploit. It usually begins with a human decision. (and attackers understand this very well.) They do not begin by writing code. They begin by studying behavior. They ask themselves quiet questions: Who inside this organisation is under pressure to deliver? Who has accumulated access over time that nobody reviewed? Who believes policy is flexible “just this once”? Who is tired? Who is overconfident? In one real scenario, an engineer bypassed three independent security controls because a deployment deadline was approaching and the system “had to go live.” There was no malicious intent. No insider conspiracy. Just urgency combined with authority and access. That is enough. When we look at such cases later, we often focus on the missing patch or the control gap. But the more important question is different: Why did someone feel comfortable overriding those controls in the first place? This is why I believe the CISO of the future must develop two parallel instincts. First, the technical instinct. They must still understand lateral movement, identity abuse, cloud misconfiguration, API exposure, privilege escalation, and the ways attackers chain small weaknesses into systemic compromise. But alongside that, they must develop a behavioural instinct. They must understand:  • how incentives are structured inside teams • how deadlines distort judgment • how developers perceive security teams • how executives interpret “risk” versus “delay” • how culture silently encourages shortcuts Attackers exploit psychology with precision. They send emails that create urgency. They impersonate authority. They trigger fear. They trigger curiosity. They trigger ego. And sometimes, they do not even need to. Internal pressure does the work for them. So the next-generation CISO cannot rely only on dashboards. Cybersecurity is no longer just a contest of tools. It is a contest of human behaviour under pressure. The CISO who understands both, the code and the mind, will not only detect threats more effectively. They will reduce the conditions that create them. Seqrite #Cybersecurity #CISO #SecurityLeadership #CyberLeadership #InformationSecurity #CyberRisk #SecurityCulture #CyberDefense #SecurityStrategy #Leadership #HumanFactor #CyberResilience #Infosec #EnterpriseSecurity

In the U.S. alone, cybercrime caused $16 billion in damages in 2024 - a 33% increase from the year before. And most of these breaches weren’t due to complex hacks or advanced malware. They happened because of simple human errors: misconfigured systems, unsecured devices, careless behavior, or being tricked by a convincing phishing email. That’s why the human factor is often the weakest link in cybersecurity, but also where the biggest gains can be made. So how do we build a human-centered security culture? It’s about shaping behavior and habits. A proven approach is Neidert’s Core Motives Model, which helps leaders guide employees toward secure behavior through three stages: 🔹 Connect – Build trust and rapport. People follow leaders they like and feel connected to. Gamified training sessions, team bonding, and small acts of reciprocity go a long way. 🔹 Reduce Uncertainty – Show credibility and social proof. When senior leaders take part in security efforts, or when teams see peers taking security seriously, they’re more likely to follow suit. 🔹 Inspire Action – Reinforce commitments. Use nudges, timely reminders, and even friendly competitions to encourage continuous attention to cybersecurity practices. A collective mindset where everyone feels responsible for protecting company assets, and each other. Security doesn’t live in IT alone. It lives in everyone’s daily choices.

When I talk with UX researchers and designers, I often hear regression models described as “just another stats test.” In reality, regression is one of the most powerful ways to connect user behavior, design choices, and business outcomes. It is not only a math exercise. It is a method for linking evidence to decisions. Here is why regression matters so much in UX research: 1. Explaining relationships UX data is complex. Task completion time, error rates, satisfaction scores, prior experience, and demographic factors can all influence one another. Regression helps us untangle these influences. For example, does satisfaction decrease because a flow takes too long, or because the interface is confusing? A regression model shows how much each factor contributes to the outcome, giving us explanations that go beyond surface-level observations. 2. Controlling for confounds A major risk in UX research is misattributing cause and effect. Imagine experienced users finishing tasks faster. Is that because of a new design or because of their prior knowledge? Regression allows us to hold prior knowledge constant and see the unique contribution of the design. This ability to separate signal from noise makes regression far more reliable than looking at simple averages or raw correlations. 3. Testing hypotheses UX teams often work with specific hypotheses. For example, “This new onboarding flow will reduce drop-off” or “A clearer button label will increase clicks.” Regression provides a formal way to test these claims. Instead of relying on instinct or anecdotal observations, we can provide evidence that has been statistically checked. This does not mean blindly chasing significance, but it does mean giving structure and rigor to the claims we make. 4. Making predictions Sometimes explanation is not enough. Teams need to forecast outcomes. Regression models allow us to ask practical questions such as: If usability scores increase by one point, how much retention can we expect to gain? Or, if error rates increase by five percent, how much will that reduce satisfaction? These predictive insights help product teams prioritize design work based on the likely size of impact. 5. Quantifying uncertainty and effect sizes Regression also makes us transparent about uncertainty. UX research often involves noisy data, especially when sample sizes are limited. A regression model does not just indicate whether an effect exists. It tells us how strong the effect is and how confident we can be in that estimate. Sharing effect sizes together with confidence or credible intervals builds trust. Stakeholders see that we are not just saying “this works.” We are showing the strength and reliability of our findings. Regression is not an academic luxury. It is a cornerstone of evidence-based UX. It helps us explain what is happening, isolate the effect of design choices, test whether changes are meaningful, forecast future outcomes, and communicate with transparency.

The biggest cyber risk in your company isn’t AI. It’s your people. We’ve trained employees on security awareness. Yet phishing clicks, weak passwords, and shadow IT persist. Why? Because behaviour change doesn’t come from awareness. It comes from influence. Harvard Business Review nailed it: To build a security-conscious culture, CISOs must: ✅ Influence executive tone from the top ✅ Continuously measure behaviour (not just train it) ✅ Build trust and inspire change through shared values The frameworks we use—NIST, ISO, OWASP—guide systems and controls. But what about human behaviour? Frameworks like: ➡️ Neidert’s Core Motives (Connect, Reduce Uncertainty, Inspire Action) ➡️ Cialdini’s Principles of Influence (social proof, reciprocity, authority...) …should be in our security playbook — right next to NIST and ISO. Security that sticks is human-centred, trust-driven, and values-aligned. It’s about people, persuasion, and creating a culture where secure behaviour is the norm. #CyberLeadership #SecurityCulture #HumanCentredSecurity #CISO https://lnkd.in/eABd7pXq

The JLR Cyberattack: A Wake-Up Call on Human Factors in Cybersecurity 🚨 The recent Jaguar Land Rover cyberattack that shut down global production for weeks offers a sobering lesson: **technology alone cannot protect us—people are both our greatest vulnerability and our strongest defense.** What Really Happened? 🔍 While headlines focus on the billions in losses and production shutdowns, the real story lies in the human elements: • **4-year-old stolen credentials** from a partner company employee infected by infostealer malware • **Social engineering campaigns** that made attacks more targeted and effective • **Legacy security practices** that left old credentials active and exploitable The attackers didn’t break through sophisticated firewalls—they walked through the front door using credentials harvested years earlier from an LG Electronics employee with Jira access. The Security Culture Challenge 💡 This incident highlights why we need to shift from a **compliance mindset** to a **security culture mindset**: Instead of asking:** “Did employees complete their security training?” 💡 Ask: “Do employees feel empowered to report suspicious activities without fear?” Instead of: “Are we using the latest security tools?” 💡 Ask: “Do our people understand their role as the first line of defense?” Building Human-Centered Security 🛡️ 1. Make Security Personal Help employees understand that cybersecurity isn’t just about protecting company data—it’s about protecting their jobs, their colleagues, and their customers. 2. Create Psychological Safety When someone clicks a suspicious link, do they feel safe reporting it immediately? Or do they hide it out of fear? The difference can determine whether an incident is contained in minutes or spreads for months. 3. Train for Reality, Not Compliance • Use real-world scenarios relevant to employees’ daily work • Focus on decision-making skills, not just rule memorization • Practice incident response through tabletop exercises 4. Extend Your Security Perimeter JLR was compromised through a third-party partner. Your security culture must include vendors, contractors, and anyone with system access. The Bottom Line 📈 The most sophisticated security stack in the world is worthless if an employee with 4-year-old compromised credentials can access critical systems. Cybersecurity is fundamentally a **people problem** that requires **people solutions.** Organizations that understand this—that invest in security awareness, create open communication channels, and treat every employee as a security stakeholder—will be the ones that survive and thrive. ----- 🤷♀️What’s your experience with building security culture? Have you seen human factors make or break cybersecurity efforts? Share your thoughts below. #Cybersecurity #SecurityCulture #HumanFactors #Leadership #RiskManagement #JLR #CyberAwareness JLR Anima People

In a proactive CS model, the strongest indicators of customer health aren’t what customers say. It’s what they do. Adoption patterns. Logins. Product depth vs. surface-level usage Feature usage. In-product engagement. Support behavior. Community and Academy activity. Moments of friction we can see but they may not articulate yet. Behavioral signals are the new voice of the customer. In a reactive model, these signals are interesting. In a proactive model, they’re essential. In a predictive model, they become the operating system. When paired with intent-based playbooks, they unlock a predictive model that scales far beyond traditional coverage. Customers are telling us everything… long before they ever say anything. When we use these signals to guide where we show up, how we show up, and when we intervene, customers feel supported long before they even have to ask. That’s how you drive adoption, reduce risk, and build loyalty at scale. And that is the real power of predictive CS.

The hardest part of security isn’t blocking attackers—it’s stopping our people from being recruited or overwhelmed. My final piece in “Selling Access: Insider Risk in Hard Times” is a practical playbook you can use this quarter. 🔰 IDF 2025—five layers: access, behavior, DLP, support/whistleblowing, fair response. 📣 Reporting confidence—unified channels, anonymity, close the loop. 🎓 Training that works—scenarios + recognition, not checkboxes. 🤝 Governance—Security × HR × Legal × Comms aligned with NIS2/GDPR/DORA. 📈 Metrics that matter—culture + detection KPIs boards use. 💙 New—empathy as a leadership control to surface risks earlier. This wraps our journey from phishing → bribery, through economic stress, to spotting human signals before data moves. If you lead security, HR, or teams, it’s a field guide to build trust and reduce loss. 💬 Tell me what’s working—or not—in your environment. I’ll compile the best practices in a follow-up. #cybersecurity #InsiderRisk #NIS2 #SecurityCulture #Leadership #CISO #CyberResilience

That is an insightful post; thank you for elevating this conversation. From a Cyberpsychology and Forensic Cyberpsychology standpoint, human-centered risk is fundamentally a behavioral challenge before it is a technical one. Controls and security awareness training remain vital "hygiene," but they address only the how of an attack. To outpace the threat, it's crucial to delve into the why, including cognitive biases, emotional triggers, and social dynamics that drive individuals to become inadvertent or deliberate threat actors. In practice, this means enhancing traditional SOC telemetry with what my field refers to as behavioral threat intelligence (BTI). By integrating digital forensics artifacts (logins, file movements, anomaly scores) with empirically validated behavioral markers, we can surface intent before it manifests as harm. Models such as the Adversary Behavior Analysis Model (ABAM) and the Cyber Forensics Behavioral Analysis" (CFBA) framework operationalize this fusion, enabling security teams to: - Profile motivation (grievance, ideology, profit, curiosity) rather than relying solely on role‑based access assumptions. - Detect cognitive fatigue or moral disengagement in employees, early indicators of risky click paths, and policy violations. - Map social engineering pressure points by analyzing how attackers exploit trust dynamics inside supply‑chain and hiring workflows. It's essential to tailor interventions (such as coaching, peer support, or investigative escalation) proportionate to both the technical severity and psychological drivers. This personalized approach is key to effectively managing cybersecurity risks. When we treat human risk as a continuum of behavioral signals rather than a binary of compliant versus malicious, we create response playbooks that are preventative, proportionate, and humane. The outcome is a workforce that is not merely "aware" but actively engaged in its cyber resilience. That culture, more than any single control, is what closes today's widening gap between threat velocity and organizational readiness. #Cyberpsychology #ForensicCyberpsychology #BehavioralThreatIntelligence #HumanCentricSecurity #CognitiveSecurity #InsiderThreats #HumanRisk #CyberBehavioralScience #SecurityAwareness #IntentBasedDefense #CyberResilience #SecurityCulture #ThreatModeling #DigitalForensics #CybersecurityLeadership #NeurodiversityInSecurity #CyberDeception #AdaptiveDefense #DarkTriadAnalysis #BehavioralAnalytics Landon W. Prof. Mary Aiken

Let's clear something up about #HumanRiskManagement (HRM). I'm seeing concerning market confusion about what HRM really is. Too many vendors and practitioners are positioning it as "Security Awareness Training with a risk score tacked on." This fundamental misunderstanding is holding organizations back from realizing the true transformative potential of HRM. 🎯 What HRM Actually Is: According to #Forrester, HRM consists of "solutions that manage and reduce cybersecurity risks posed by and to humans." At Living Security we use a simple 3 step framework: #Identify cyber risks across your workforce, #Protect with nudges, training, and AI orchestrations, #Report results showing increased workforce vigilance. The result: Empower employees, managers, and executives to create a positive security culture that identifies risks and protects against them before breaches occur. But this requires a comprehensive approach that includes: 1. Real Behavioral Analysis - Actual security tool interactions - Data handling patterns - System access behaviors - Communication patterns 2. Contextual Risk Evaluation - User identity and access levels - Role-based impact assessment - Attack surface exposure - Business context 3. Comprehensive Intervention Strategies - Policy adjustments - Access controls - Technical controls - Targeted training - Cultural initiatives 4. Continuous Measurement - Behavior change tracking - Risk reduction metrics - Cultural impact assessment - Business outcome alignment 🚫 What HRM Is Not: - Not just training completion scores - Not simply phishing simulation results - Not survey data in isolation - Not a blame game on human error - Not solely a training team responsibility 💡 Why This Matters: The human element is involved in 74% of breaches. But treating this as purely a training problem misses the point. Humans bring both risks AND opportunities to security. Real HRM is about: - Understanding actual behaviors in context - Measuring both likelihood AND impact - Implementing multi-faceted interventions - Building security into business processes - Creating sustainable security cultures 🔄 The Path Forward: Over the next two weeks, I'll be sharing a detailed series on: - Strategic HRM implementation - Measurement frameworks - Integration with existing security programs - Cultural transformation approaches - Executive engagement strategies Follow along to learn how to move beyond simplistic approaches and build a comprehensive HRM program that delivers real security outcomes. What's your take? How does your organization approach human risk? Let's discuss in the comments. #CISO #SecurityStrategy #RiskManagement #SecurityCulture #CyberSecurity

Human Risk Management: The Balance Between Security and Psychological Support When organizations talk about mitigating insider threats, the conversation often starts with access controls, monitoring systems, and security protocols. But let’s be honest—these alone don’t solve the problem. At the core of every insider threat is a human being, and people don’t just wake up one day and decide to sabotage their employer. There’s usually a buildup—stress, resentment, financial struggles, mental health issues, or personal crises (or all of the above!). So how do we balance proactive psychological support with traditional security measures? 1️⃣ Normalize Mental Health and Employee Assistance – A stressed, financially struggling, or emotionally distressed employee can become a security risk if their concerns are ignored. Companies that invest in employee well-being—offering mental health resources, financial counseling, and confidential support programs (for example)—create an environment where employees feel valued rather than expendable. 2️⃣ Train Leaders to Recognize Behavioral Red Flags – Insider threats don’t operate in a vacuum. Subtle shifts in behavior, increased frustration, or withdrawal can signal that an employee is struggling. Managers who are trained to recognize and address these signs can intervene before small issues escalate into security threats. 3️⃣ Foster a Culture of Trust, Not Fear – If employees fear retaliation for voicing concerns, they will stay silent—until it’s too late. Encouraging open communication, anonymous reporting, and non-punitive ways to address personal struggles can prevent small frustrations from turning into major security risks. 4️⃣ Integrate HR and Security Teams – Too often, security teams operate separately from HR, missing critical context around employee struggles or grievances. A collaborative approach ensures that security incidents are not just seen as technical breaches but as human risk factors that need addressing holistically. 5️⃣ Use Technology to Assist, Not Just Punish – Behavioral analytics and AI-driven monitoring can help detect anomalies in employee behavior, but these tools should be used to identify when someone needs support—not just to enforce penalties after a breach occurs. At the end of the day, insider threat mitigation isn’t just about locking down systems—it’s about understanding people. The companies that balance security with proactive psychological support don’t just reduce risk; they create a healthier, more engaged workforce. And that’s a win for everyone. How is your company approaching this balance? Would love to hear your thoughts. ⬇️ #humanriskmanagement #EmployeeWellbeing #MentalHealth #InsiderThreat #BehavioralSecurity #PeopleRisk