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Register to unlock a curated set of enterprise resources from QNX—designed to help IT leaders, architects, and decision-makers implement smarter, more secure, and cost-efficient operations.
 

Inside, you’ll gain access to:

  • API & Integration Insights – Learn how to connect systems seamlessly and scale your architecture with modern API strategies

  • AI Security & Governance – Explore how to protect sensitive data and enforce policies using IBM Guardium and watsonx

  • Data & AI Platforms – Discover how watsonx.data enables faster analytics and a scalable data lakehouse approach

  • Observability & Performance Monitoring – Improve uptime and system visibility with Instana

  • Real-World Solution Briefs & Presentations – Practical guides and use cases you can apply immediately
     

Whether you're optimizing existing systems or planning your AI transformation, these resources will give you the clarity and tools to move forward with confidence.

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1. Compliance Evolution. As regulations like DPA 2012, AFASA, PCI DSS, HIPAA, etc. evolve, how are you moving away from the "annual audit scramble" toward continuous, automated compliance readiness?
We still rely on manual data collection and "point-in-time" audits leading up to deadlines.
We use basic internal checklists and periodic manual reviews to bridge the gap between audits.
We have implemented automated reporting tools that provide monthly or quarterly visibility into our compliance status.
We utilize a Continuous Control Monitoring (CCM) framework that provides real-time dashboards and automated alerts for any compliance drift.
None of the above
Shadow Data & AI Exposure. With the rapid adoption of SaaS and AI-driven workflows, how are you ensuring that sensitive data hasn't "leaked" into unmonitored environments or shadow databases?
We rely on employee policy and "acceptable use" agreements to prevent unauthorized data movement.
We conduct occasional manual discovery scans of known cloud environments.
We use a Cloud Access Security Broker (CASB) to monitor SaaS usage, but struggle with visibility into AI-driven data flows.
We employ Data Security Posture Management (DSPM) tools to automatically discover, classify, and monitor all data—including shadow DBs and AI training sets—across our entire perimeter.
None of the above
Privileged User Monitoring. When a privileged user (e.g., DBA or System Admin) accesses sensitive records, how do you distinguish between legitimate work and potential data exfiltration before the data leaves the building?
We trust our admins and rely on standard system logs for forensic review after an incident occurs.
We enforce the "Least Privilege" principle, but have limited visibility into what happens during a legitimate session.
We use basic Privileged Access Management (PAM) to vault credentials, though behavior analysis is still manual.
We utilize User and Entity Behavior Analytics (UEBA) to establish a baseline of "normal" admin activity and trigger immediate blocks on anomalous data access patterns.
None of the above
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