Hoxhunt launches Secure Behavior Detection and Response to turn human risk signals into lasting behavior change

New product connects behavioral signals across the security stack, identifies emerging risk patterns, and triggers timely interventions to change behaviors.

MINNEAPOLIS, Oct. 21, 2026 /PRNewswire/ -- Hoxhunt, the Human Risk Management platform, today announced Secure Behavior Detection and Response, a product that transforms fragmented security signals into a clear view of risky behavior and helps teams act before isolated events become incidents.

Organizations have more visibility into security activity than ever before, yet understanding how employee behavior contributes to security risk remains challenging. Signals are scattered across tools and the alerts they generate can be overwhelming, making it difficult to recognize recurring patterns, identify where support is needed, and take action before risks escalate

Secure Behavior Detection and Response correlates events from Hoxhunt and Microsoft Defender, CrowdStrike, Zscaler and other sources to reveal patterns at the employee, team and organizational level. Security leaders can see where exposure is growing, prioritize risk and respond consistently.

"Security teams lack context, not data," said Mika Aalto, co-founder and CEO of Hoxhunt. "A single event rarely tells you whether someone needs help or whether risk is building across a team. Secure Behavior Detection and Response connects those dots and helps organizations automatically intervene at the right moment, making human risk management measurable and actionable."

Key capabilities include:

• Behavioral context and prioritization: Connect related events across tools and time, group them by behavior and focus attention on patterns that signal meaningful exposure.
• Targeted intervention: Trigger coaching, policy reminders, training, manual review or escalation as risk develops, supported by repeatable response playbooks.
• Trend analysis and governance: Track risk over time while aligning severity, privacy and visibility controls with organizational policies.
• Cross-tool intelligence: Combine signals from supported security platforms and proprietary systems through integrations and a flexible API.

Uber demonstrated the potential of this signal-driven model through its CSO Award-winning "Beyond the Checkbox" Human Risk Management program, co-created with Hoxhunt. Operated by a two-person team for more than 25,000 users, the program increased training completion 50%, tripled threat reporting and reduced incidents to ultimately improve Uber's internal security maturity assessment by 54%.

Monster Energy started their Secure Behavior Management journey with signals from security awareness and adaptive phishing training, and reduced overall security incidents by over 90%.

Learn more about how to manage your human risk with Secure Behavior Detection and Response and request a demo at hoxhunt.com/product/human-risk-management.

About Hoxhunt

Hoxhunt is a Human Risk Management platform that goes beyond security awareness to drive behavior change and measurably lower risk. Data breaches start with people, so Hoxhunt does too. It combines AI and behavioral science to orchestrate signal data and create individualized micro-training experiences people love. Employees learn to detect and report advanced phishing attacks while being trained on various security topics and getting in-the-moment guidance on avoiding risky behaviors. Beyond phishing, Hoxhunt collects security signals and automates responses to human risk findings, guiding employees toward safer practices. Operations teams respond fast with limited resources. Security leaders gain outcome-driven metrics to document reduced cybersecurity risk.

Hoxhunt works with leading global companies such as Airbus, Uber, Monster Energy, Qualcomm, Docusign, Siemens Energy, Semrush, and AES, and partners with leading global cybersecurity companies such as Microsoft and Deloitte.

Media Contact
Christian Morley
ICR for Hoxhunt
[email protected]  

SOURCE Hoxhunt