The GenAI Frontier: Securing the Future of Intelligent Infrastructure

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With the rise of GenAI and decentralised data access, how has your view of Zero Trust evolved? *

It's a legacy concept; we prioritise identity over infrastructure.
It's a secondary goal while we focus on immediate Al deployment.
It's the mandatory backbone; GenAl cannot be safely deployed without a "Never Trust, Always Verify" architecture.
It's currently over-emphasized relative to the actual risks of GenAl.

GenAI development moves at "breakneck" speed. How does your security team interact with AI-driven innovation? *

The Brake: Security blocks most GenAl tools until they are fully vetted (often months later).
The Catch-up: Teams use GenAl freely, and Security attempts to secure the data after the fact.
The Enabler: Security provides automated guardrails (e.g., Al gateways) that allow for "secure-by-design" innovation.
The Spectator: Security and Al development teams currently have no formal collaborative workflow.

Large Language Models (LLMs) often process data across borders. How do you balance GenAI performance with data residency? (Select your top two) *

Performance first: We use the most powerful global LLMs, even if data residency is unclear.
Sovereignty first: We only use localised or "on-prem" LLMs, even if they are less capable.
Hybrid approach: We use cloud-native security layers to mask/anonymize sensitive data before it hits global Al models.
Manual Oversight: We rely on employee policies and manual "copy-paste" rules to prevent data from leaving the region.

If an AI-powered automated breach (e.g., high-speed polymorphic malware) occurred today, where is your greatest strength? (Select your top two) *

Automated Prevention: Real-time blocking of Al-generated threats at the edge
Intelligent Containment: Using Al to instantly segment the network and stop lateral movement.
Adaptive Continuity: Maintaining operations via "self-healing" infrastructure during an attack.
Rapid Recovery: Using Al-assisted tools to scrub and restore data faster than traditional methods.

How prepared is your infrastructure to handle the traffic and data risks of "Shadow AI" (unauthorised employee use of GenAI)? *

Blind: We cannot currently see or move to secure unauthorised GenAl traffic.
Restricted: We use a blanket block on all known GenAl domains to mitigate risk.
Observational: We monitor GenAl usage but lack the tools to enforce data loss prevention (DLP) within those sessions.
Governed: We use an Al-aware security stack that inspects prompts and responses in real-time.

Which GenAI-related "Strategic Pillar" is the top priority for your leadership in the next 12 months? *

Architecture: Building a Zero Trust environment that can handle Al-to-Al communication.
Governance: Establishing secure pipelines for GenAl and LLM application development.
Compliance: Navigating the "Al Act" and regional regulations regarding automated data processing.
Resilience: Upgrading security operations to fight "Al vs. Al" cyber warfare.

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