Understanding and mitigating security risks arising from the behaviours of humans, agentic AI systems, and their interactions through behavioural science and cultural intelligence.
Organisations invest heavily in security tools, training platforms, and awareness campaigns. Yet breaches persist. Why? Because tactical interventions address symptoms, not root causes.
Traditional Human Risk Management (HRM) platforms focus on point-in-time interventions: phishing simulations, security awareness training, behavioural nudges, and XDR detection. These are essential tactical tools, but they operate without understanding the deeper behavioural and cultural dynamics that produce risky actions in the first place.
It's like treating symptoms without diagnosing the disease. You might reduce click rates temporarily, but you haven't addressed why people click, what cultural norms permit risky shortcuts, or how organisational incentives misalign with security objectives.
What's Missing: Understanding of why behaviours persist, how culture enables or resists change, and what systemic factors drive risk-taking.
The Difference: We reveal the invisible architecture of risk - the beliefs, norms, incentives, and system behaviours that make tactical tools succeed or fail.
Security incidents don't emerge in a vacuum. They result from a cascade of cultural conditions that shape behaviours, which manifest as risk events. Traditional HRM tools intervene at the behaviour or event level. CyBehave works upstream at the cultural level - addressing root causes, not just symptoms.
Strategic insights and practical capabilities that complement your existing security stack
Quantify security culture with scientifically validated assessments. Transform gut feeling into measurable dimensions that predict risk and track improvement over time.
Apply behavioural science frameworks to understand why risky behaviours persist. Identify cognitive biases, cultural barriers, and systemic factors that drive security failures.
Create evidence-based behavioural interventions that address root causes. Design targeted nudges, culture change initiatives, and process improvements informed by assessment data.
Deploy assessments, generate reports, and track improvements without dependency on consultants
K-anonymity protection ensures honest responses whilst maintaining GDPR compliance
Measure improvement over time with trend analysis and before/after intervention comparisons
Break down findings by department, role, seniority, location to identify high-risk segments
Modular tools that share data for holistic view - from baseline assessment to predictive intelligence
Specific guidance based on your unique risk profile, not generic best practices
CyBehave's approach integrates established research from multiple disciplines:
Understanding how cognitive biases (availability heuristic, optimism bias, present bias) influence security decision-making under uncertainty
Applying theories of organisational culture, social norms, psychological safety, and change management to security contexts
Leveraging insights into attention, memory, learning, and decision-making to design effective interventions
Understanding conformity, authority, social proof, and group dynamics that shape security behaviours
Analysing how interface design, usability, and friction influence security compliance
Applying emerging research on agentic AI behaviour, goal alignment, and human-AI interaction to cybersecurity contexts
Our methodologies are evidence-based, drawing from peer-reviewed research in human factors, behavioural science, and organisational development. We don't just apply behavioural science terminology - we operationalise proven theoretical frameworks into actionable security strategies.
As organisations deploy increasingly autonomous AI agents - from automated incident response systems to AI-driven decision-making tools - behavioural cyber risk is no longer exclusively human.
Just as humans exhibit risky behaviours due to cognitive biases, time pressure, or misaligned incentives, AI agents can demonstrate problematic behaviours stemming from:
CyBehave is positioned at the forefront of this emerging risk landscape, applying behavioural science principles to both human and agentic actors - ensuring your organisation can manage the full spectrum of behavioural cyber risk as AI capabilities expand.