Opinion

Why OpenClaw is forcing a rethink of AI security, trust, and authority

OpenClaw has become a useful case study for a bigger shift in AI. As agents move from generating answers to taking actions across inboxes, browsers, files, and tools, the real issue is no longer only model accuracy. It is now about authority, trust boundaries, and whether organizations are ready to govern software that can act on their behalf.

Sovereign multitude: The internet after users

Why the future of the web belongs to autonomous AI agents and what that means for your job description

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Operational advantage starts with unified workflows

Operational advantage will come less from having AI in the stack than from knowing how to organize around it. The businesses that get this right are likely to be the ones that treat unified fraud and AML workflows not as a technical aspiration, but as part of the operating foundation for resilient growth.

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Account recovery as an identity problem: How to safely re-establish trust before a password reset

We still treat account recovery like a minor inconvenience. A login fails, users click “reset password,” and move on. But in 2026, the problem isn’t about restoring access—it’s about identity.

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Wiring the intelligent enterprise for the year ahead – 2026 will be a year of reckoning for AI

After two years of dazzling AI pilots, 2026 is the year businesses face a crucial reality check. It’s now very clear that enterprise-wide applications like agentic AI are in a different league from the quick vines of the burgeoning number of bottom-up one-dimensional AI point solutions. The realization is there: Businesses are already questioning whether…

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From data to decisions: Threat intelligence in SOC operations

Threat intelligence has moved far beyond feed ingestion and indicator matching. In a modern security operations center, it helps teams interpret alerts in context, improve detection engineering, guide threat hunting, and sharpen incident response. As cyber threats grow more complex, integrating threat intelligence into daily SOC workflows can help…

Agentic AI business applications are here – scaling them from experimentation to production is the next step

There is a looming pin that may burst the AI hype bubble in the business world. The issue isn't that the AI models aren't capable. It’s the massive gulf between a prototype built in three days and a secure, robust production system. To survive the transition from experimental pilots to everyday industrial and business use, Shawn McAllister, Chief AI…

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Why small language models may be the greener path for applied AI

As AI infrastructure expands, the sustainability debate is moving beyond giant training runs and into a harder question of deployment. Small language models may not replace frontier systems, but they could help companies run more AI on existing devices, reduce reliance on compute-heavy cloud inference, and make applied AI more practical across…

The governance gap in military AI

The latest controversy around defense AI is less about science fiction-style autonomy and more about process. Data quality, workflow design, and meaningful human review are becoming the real fault lines in military AI governance.

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Agentic AI – lessons from the real world

Agentic AI is reshaping how organizations think, operate, and serve. The challenge is sustained execution at scale.