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Featured · AI Governance
The Deployer Trap: Why Enterprises Face AI Liability They Can't See
When an AI system makes a decision that causes harm, who is responsible? The answer is increasingly: the organisation that deployed it — even when they didn't build it, don't fully understand it, and couldn't technically have detected the failure. This is the deployer trap.
Perspective Paper
EU
AI Act 2024
ISO
42001 Standard
NIST
AI RMF
GDPR
Data Governance
Cybersecurity
Securing LLM-Controlled Systems: Why Traditional Red-Teaming Is Not Enough
As AI systems take control of physical hardware and critical infrastructure, the attack surfaces expand in ways that static pen-testing frameworks weren't designed to find.
Research Brief↗
Digital Twins
Digital Twins in Critical Infrastructure: Opportunity and Security Challenge
Digital twin adoption in utilities, manufacturing, and transport is accelerating. But connecting virtual models to live systems creates attack surfaces that security teams are only beginning to understand.
Technical Insight↗
Edge AI
Intelligence at the Edge: Why the Future of AI Is Not in the Cloud
Latency, bandwidth, and privacy constraints are pushing AI inference toward the devices and environments where decisions must happen in real time. Here's what that shift means in practice.
Perspective↗
AI Governance
Oversight Impossibility: The Governance Gap in High-Velocity AI Systems
When AI systems make thousands of decisions per second, meaningful human oversight becomes structurally impossible — yet regulators increasingly require it. This paradox is the central governance challenge of our era.
Research Brief↗
Smart Commerce
The Coming Wave of AI-Driven Commerce Fraud and How to Prepare
Generative AI is lowering the barrier for sophisticated fraud attacks. Retailers and payment providers that built their defences in a pre-generative world need to rethink their threat models.
Technical Insight↗
Cybersecurity
Post-Quantum Cryptography: A Practical Timeline for Enterprise Migration
Quantum computing timelines are uncertain, but the migration challenge is not. Enterprises that wait for quantum threats to materialise before acting will face a transition that is expensive, risky, and rushed.
Framework↗