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

Unlock AI's true potential with data quality, integrity and governance.

AI risk emerges from live systems and processes, not abstract policies or model behavior.

As volatility rises, agentic AI embedded in workflows turns disruption into foresight.

While software delivery has sped up in recent years, and unlocked rapid progression for DevOps teams, it has also introduced new forms of risk.

Communications compliance in 2026 means business enablement, and scaling oversight alongside the platforms under scrutiny.

As AI projects advance, enterprises must prioritize secure, flexible cloud infrastructure to protect their data.

Despite rapid generation of functional code, LLMs are introducing critical, compounding security flaws, posing serious risks for developers.

Exiting legacy cloud platforms can modernize and future-proof infrastructure while saving money.

AI execution is hard but when leaders close the gap between ambition and impact, they can turn AI pilots into meaningful progress.

AI-driven false positives drain SOC capacity while attackers exploit noise and outdated security architectures.

Privacy shifts from compliance burden to competitive advantage as AI and blockchains reach production scale.

The consent process is designed for compliance, not for people, but how do we fix it?

How AI can now understand your work's context.

Organizations must build on existing security practices and embrace phishing-resistant authentication to deliver robust protection.

As humanoid robots enter daily life, privacy shifts from policy promises to architectural design.

How can organizations turn experimental AI pilots into full-scale programs with real business value?

The solution to reducing the demand for labor comes from organizations optimizing existing resources.

Legacy print servers have always carried costs; why you should eradicate them in 2026.

Outdated networks are undermining AI ROI and leaving enterprises exposed.

How agentic AI and unified commerce unlock scalable, reliable ecommerce performance in 2026.

How AI-driven observability turns overwhelming log data into actionable business intelligence.

The capacity to install, integrate, monitor and maintain hardware directly influences long-term performance.

Thousands of real websites are hijacked by cybercriminals using DNS to invisibly redirect and infect victims.

Building trust-centric AI workplaces with a clear charter—trust, transparency, augmentation, agency, equity, and source integrity.

OpenSSL 3.x creates a critical scalability and security dilemma for the industry, forcing organizations to evaluate alternative SSL libraries.

Every year, CES showcases the limitless potential of our industry, but this year, we moved away from proof-of-concepts and towards real-world applications.

In 2026, AI agents, chaos engineering, and multi-cloud strategies will redefine IT resilience and risk management.

How achieving operational brilliance can be achieved with AI to bridge the gap between the issue many retailers face - limited resources and staffing.

A look at domain names and blockchain identifiers

2026 is the year of operationalizing AI. Here are five predictions for how AI agents will reshape business in 2026.

Why seamless, secure identity defines the future of commerce.

AI-driven attacks are outrunning prevention, making rapid recovery essential.

As demand for sovereignty and resilience grows, the question is how Europe can build a more balanced and independent cloud ecosystem.

There's a big mismatch between what organization's priorities are and what they should be and how they are handling their operations.

The consequences of neglecting software integrity are severe and more visible than ever.
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