Tristan Foster

Tristan Foster is a staff writer for theCUBE, SiliconANGLE Media's livestreaming studio. He covers artificial intelligence, enterprise software and the practical realities of digital transformation, translating complex technical shifts into clear business insight for executive audiences. With a background spanning product strategy, automation architecture and AI implementation across professional services, marketing and technology startups, he brings an operator’s perspective to his reporting on how tools actually perform in the real world. A longtime researcher and systems thinker, he is particularly interested in human-AI collaboration and workflow design. He lives in Sydney, Australia.

Latest from Tristan Foster

Hospitals are becoming hackers’ favorite target, but downtime simply isn’t an option

Healthcare IT finds itself at a critical intersection where significant data opportunities are colliding with escalating cybersecurity threats. Rural and community hospitals, in particular, are facing intense cost strains as ransomware attacks proliferate. The challenge for healthcare providers is that their expertise lies in clinical care, not IT services, making system resiliency more vital than ever, ...

AI sped up software development, but it also opened the door to more vulnerabilities

As AI drives a surge in software output, security teams are under mounting pressure to use runtime testing to catch risks in running applications. With the volume of machine-generated code exploding across the modern enterprise, security teams are discovering that static code analysis is no longer enough. This disconnect highlights the urgent need to establish ...

As autonomous systems proliferate, agent identity is becoming the next big security battle

The sharp rise of autonomous systems has created a critical need for enterprises to secure AI agent identity with the same rigor used for human employees. But as these digital actors gain access to sensitive systems, who is keeping watch over what they do next? As digital actors start to handle sensitive transactions and access core ...

Enterprises are shouldering a ‘security tax’ driven by tool sprawl and per-endpoint pricing

Modern cybersecurity teams are being bogged down by a heavy security tax that stems from fragmented tools and restrictive pricing models, putting faster, broader protection out of reach when organizations need it most. The traditional industry model forces organizations to choose which assets to protect based on cost, rather than risk. But moving toward an ...

AI agents are a critical component in closing the global cybersecurity talent gap, says Microsoft

In the modern AI threat management landscape, security operations teams face the possibility of defending against more than 7,000 password attacks per second. Against those odds, human analysts alone simply cannot keep pace. Those immense stakes make automated threat management a necessity for modern enterprise resilience. By offloading “tier one” tasks like phishing triage to AI, security ...

Agentic security rises, even as AI value still lags: theCUBE’s day two analysis from the RSAC 2026 Conference

As the RSAC 2026 Conference hit its stride on day two, it became apparent that while AI and agentic security dominate seller messaging, there remains a significant gap in communicating the actual business value to enterprise leaders. The technology sector has rapidly adopted AI capabilities, but enterprise buyers are just beginning their journey. That irony ...

The AI security crisis has arrived: theCUBE’s day one analysis from the RSAC 2026 Conference

With development moving at breakneck speed, many enterprise leaders are scrambling to understand AI security risks and protect their organizations from emergent threats. In fact, the “unknown unknowns” of the current era are driving a level of industry tension rarely seen before, according to Jon Oltsik (pictured, left), principal analyst at theCUBE Research. Many organizations are ...

AI infrastructure is under pressure to keep pace with agentic computing

In today’s market, organizations that fail to invest in forward-looking AI infrastructure risk being left behind as the race to support more complex workflows accelerates. But as demand for real-time data processing and super-intelligence hits a fever pitch, the next generation of applied AI applications, from advanced robotics to large-scale autonomous agents, requires a total ...

Enterprise AI’s next test: Converting decades of untapped data into usable, trustworthy context

Companies are increasingly focused on enterprise data transformation, using AI to turn vast stores of unstructured information into actionable intelligence for automated agents. But what does it take to make decades of unstructured data usable for AI systems? While businesses have stored documents and images for decades, the rise of reasoning models has finally provided the ...