In this episode of the Security Strategist Podcast, Dan Williams of Cambridge Intelligence joins John Tolbert of KuppingerCole Analysts to examine how AI and graph visualisation are changing cybersecurity investigations.
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"The next era will be defined as much by the identity and authorisation plumbing around the models as by the models themselves: which agents exist, who they act for, what they are allowed to do, and how that can be proven after the fact."
We explore why modern infrastructure is becoming harder to audit, and what organisations need to preserve accountability as systems change.
We explore why scalable quantum networking may depend on integrating quantum capabilities with the telecom infrastructure already in place.
We look at why frontier AI control is moving beyond developers as governments, independent evaluators and neutral institutions take a bigger role.
Nepal's flood response shows how real-time access to technical knowledge can become critical when traditional records and infrastructure are buried or destroyed.
Perishables introduce constant risk, demand fluctuates hour by hour, and margins leave almost no room for error. These conditions make manual processes fragile and generic retail tools insufficient.
AI is moving into live business operations, speedy real-time analytics helps keep the view on changing conditions to support timely, reliable decisions.
We explore how AI data centres are bringing power generation, storage and compute orchestration into one coordinated infrastructure system.
“If you had to use AI simply to make your product easier, it probably wasn’t easy to work with to begin with,” Randy De Meno.
We report on OpenAI's plans for automated AI shutdown capabilities following the Hugging Face security incident.
We'll break down how that stack is actually built, from ingestion through to the serving layer, the architectural patterns enterprises are choosing between and what tends to go wrong once the pipeline is live and someone's dashboard doesn't match finance's spreadsheet.
We explore why hardware security is moving beyond component inventories towards provenance, attestation and verifiable trust across the hardware lifecycle.
How data governance, semantic layers and consistent metric definitions can prevent confident AI-driven data errors.
Move the meaning first and turn months of migration into weeks
A Semantic Approach to SAP BW Cloud Migrations
We look at how organisations can govern AI responsibly when complete understanding isn't possible and uncertainty can't be eliminated.
We report on why OpenAI has classified Astra at its Critical cybersecurity capability level and what safeguards are being introduced before release.
We explore how agentic data engineering shifts responsibility from pipeline implementation towards defining constraints, validation and engineering judgement.
Key Findings from the 2026 GenAI Code Security Report
PRIORITIZE, PROTECT, PROVE
Most security tools tell you what happened. Ent helps security teams understand why risky actions occur and intervene before they become incidents.
Understand intent, not just activity
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