A lab robot that obediently fetches parts could just as easily fetch the wrong ones—or ignore safety rails entirely—if an attacker can steer its brain from afar through a network message disguised as “policy data.” That unsettling scenario moved from theory to practice with CVE-2026-25874, a
Rupert Marais, our in-house Security specialist, has spent years building endpoint and device security programs, hardening networks, and steering cybersecurity strategy through volatile markets. In this conversation with Sebastian Raiffen, he unpacks why a discipline that’s in the top-three most
Security leaders did not need another wake-up call about zero-days to see the real problem lurking in their estates; they needed proof that machines could finally read systems as a whole, discern intent, and connect causes to consequences faster than a checklist can blink. Anthropic’s Project
The rapid evolution of artificial intelligence from stateless, single-interaction chat interfaces into highly sophisticated agentic systems has introduced a profound architectural vulnerability rooted in the necessity of persistent memory. While these advanced systems utilize local memory
A single line of malicious code in a standard Excel file was once a localized nuisance; today, when paired with an autonomous AI agent, it becomes a skeleton key to an organization’s entire data repository. The discovery of CVE-2026-26144 illustrates a jarring reality: the standard cross-site
The digital landscape demands instantaneous response times that traditional delivery networks can no longer provide without a significant overhaul of their core architectural principles. As global demand for low-latency services surges, the integration of intelligent automation becomes a necessity
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