What do we call the rules that limit what an AI agent is allowed to do (e.g., “never approve payments”)?
Guardrails (policies)
What do we call the practice of mapping processes with data to find bottlenecks and automation opportunities?
Process mining
What security approach assumes no user, device, or app is trusted by default?
Zero Trust
What do we call designing a network with no single point of failure?
Redundancy (resilience)
What’s the term for using AI to enhance human creativity and problem-solving rather than replace it?
Augmentation
What’s the process of testing an AI agent across many tasks to measure accuracy, reliability, and safety?
Evaluation (evals/benchmarking)
What’s the name for combining human judgment with AI output rather than fully automating decisions?
Human-in-the-loop augmentation
What do we call metadata or labeling that helps prove where a piece of media came from?
Content provenance
What’s the term for splitting a network into zones to limit lateral movement during attacks?
Network segmentation (micro-segmentation)
What do we call an organization’s ability to keep operating and innovating through disruption using strong digital foundations?
Digital resilience
What do we call coordinating multiple tools and steps so an agent can complete a goal end-to-end?
Orchestration
What do we call AI that can translate languages instantly to reduce friction in global teams?
Real-time translation
What do we call adding hidden patterns so AI-generated content can be detected later?
Watermarking
What do we call securely connecting remote users to apps without putting them on the entire corporate network?
Zero Trust Network Access (ZTNA)
When multiple partners work together to deliver a complete AI solution (cloud, network, security), what is that called?
An ecosystem (partner ecosystem)
Which control best helps prevent “runaway” agent actions?
Options:
Rate limits + approval checkpoints
What’s the most common reason AI “time savings” disappoint?
Options:
Workflows weren’t redesigned—AI was added on top
Which is the safest way to share company knowledge with AI systems?
Options:
Use a secured knowledge base with access control + logging
When deploying AI across cloud, edge, and 5G, what capability becomes essential for operators?
Options:
Unified visibility and policy across environments
What’s the smartest approach to AI policy inside an organization?
Options:
Allow with guardrails: approved tools, training, and monitoring
What combination is most important for enterprise-grade AI agents?
Options:
Observability + governance + security controls
What’s the most effective way to scale AI productivity across an organization?
Options:
A reusable playbook: shared components + data + security + governance
In the age of AI, “security” expands to include what end-to-end?
Options:
Data + identities + models + pipelines
When AI training or inference spans multiple sites, what capability is critical for moving massive datasets securely between them?
Options:
High-capacity, low-latency data center interconnect (backbone)
In a future where AI is everywhere, what becomes the “license to operate” for organizations?
Options:
Trust: responsible, secure, transparent AI