TRP Perspectives

Cyber Threat Intelligence Analyst at LastPass

Head of Product at Atlassian

Chief Technical Security Officer at Alcatel-Lucent Enterprise

Head of Industry Security at GSMA

Field CTO for EMEA at Pure Storage

Director for EMEA HPC/AI at Lenovo.

Vice President at Western Digital.

EY Global Government & Infrastructure Leader

Chief Product Officer at IFS

Senior Manager of Collaboration Ecosystem and Engagement at Shure

As enterprises push AI into production, they're encountering a fundamental constraint: general-purpose models lack the real-time operational context that enterprise decisions require.

As phones store our entire digital lives, protection must expand beyond cracked screens.

Small IT failures create big costs. AI can ease disruption and boost output.

Stability has long since been treasured in finance but now we see disruption everywhere...

The challenge is no longer just about replacing fossil fuels with renewables. It is about re-architecting entire systems to balance soaring digital demand with emissions goals.

Agentic AI promises autonomy, but enterprises need transparency, control, and governance to trust it.

Bridging the expectation gap begins with creating a shared language for discussing AI.

As AI agents code alongside humans, API platforms and DevRel must redesign for machine-first consumption.

This profound evolution is driven by the Telco AI Factory, a concept being actively pioneered by hardware platform providers.

Financial institutions must shift their focus if they want to see true value from AI.

AI's role in finance is evolving, and finance teams must now focus on delivering tangible results.

Human workers are key to preventing cyberattacks and operating alongside AI to enhance cyber resilience.

Discover how organizations can turn AI adoption into lasting business value through culture and strategy.

Forced updates and “patch and pray” thinking are creating avoidable risk in life-critical systems. Vendor business models, built on upgrade pressure and baked-in greed, are driving that risk.

Is AI hype a fleeting bubble or a sustained wave reshaping business and technology?

To succeed, organizations need to cultivate AI agents, rather than just deploy them.

As attackers hide longer and deeper, behavior-first detection becomes the only reliable way to expose them.

Attackers exploit blind spots, noise, and delay. Only deep observability exposes them in time.

Mathematical optimization is built for exploring unique and developing scenarios we've never seen before, to strengthen adaptability, efficiency, and nimbleness of businesses.

Unlike generative AI tools, agentic AI act as autonomous agents that can reason, make decisions, and act across workflows to achieve goals.

AI's energy appetite is increasing rapidly. Traditional disk storage is a major, often overlooked, energy drain.

The challenge for British security leaders is no longer whether NCSC guidance on credential management is sound, but how to operationalize it effectively.

Businesses harnessing artificial intelligence should do so with governance, data integrity and investing in people.

Materials innovation drives next-gen AI chips, enabling performance, efficiency and scalability.

As data sovereignty becomes a board-level priority, how can enterprises contain their risk.

The UK’s ambition to become a global AI superpower is being stifled by a widening skills gap.

AI’s GPU boom is forcing radical upgrades across power, cooling, connectivity, and delivery models.

Why copilots stall and context-aware AI is essential for real enterprise decision-making.

Uncovering important nuances in frequency, motivation, and impact that you might not expect.

In factories and hospitals, backup systems fail silently every day. Here's what vendors won't tell you.

Buying AI is easy but turning it into business value is where most organizations fail.

DDoS attacks in 2025 are faster, smarter, and larger, outpacing traditional telecom defenses.

Embedded AI in browsers accelerates work while eroding document control, traceability, and trust.

Why AI agents must be auditable, accountable, and governed to scale safely in the enterprise.

For true compliance, AI needs local, high-performance data storage to match the European standards.
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