We use cookies to personalize content and to analyze our traffic. Please decide if you are willing to accept cookies from our website.

Flash Findings

Fight AI Web Crawlers with Digital Deception

Fight AI Web Crawlers with Digital Deception

AI web crawlers that gather data for training AI models may be getting smarter, but they’re still falling for digital decoys dressed as juicy content. IT decision makers should not count on robots.txt compliance or rate limits alone; instead, they need layered defenses that actively deceive, delay and detect unauthorized scraping at scale.

Powering the Future: Neuromorphic Computing and AI Sustainability

Powering the Future: Neuromorphic Computing and AI Sustainability

Neuromorphic computing is now a strategic imperative for CIOs aiming to future-proof AI operations. With AI energy demands projected to escalate, integrating neuromorphic systems offers a path to reduced energy consumption, lower operational costs, and enhanced sustainability. Early engagement with this technology could provide a competitive edge in the evolving AI landscape.

The Vibe Coding Balancing Act

The Vibe Coding Balancing Act

CIOs should implement Vibe Coding guardrails and focus on security to prevent AI-generated code from leaving cracks in their applications.

VR Takes Center Stage for Live Event Streaming

VR Takes Center Stage for Live Event Streaming

Virtual Reality (VR) is no longer just a futuristic gadget for gamers. For CIOs and IT leaders in media and entertainment, the key is to invest selectively in semi-immersive VR live streaming to boost engagement and broaden viewership, without getting lost in the fully immersive rabbit hole just yet.

Build Cloud Resilience from the Ground Up

Build Cloud Resilience from the Ground Up

Cloud outages do not have to grind operations to a halt. CIOs should proactively architect for failure by embracing multi-cloud, hybrid cloud, or multi-region deployments and redundant alert channels to ensure resilience when cloud outages occur.

AI Agents for Cybersecurity: Operationalizing Autonomous Defense

AI Agents for Cybersecurity: Operationalizing Autonomous Defense

AI agents should no longer be a future consideration; they should be piloted today. These agents can autonomously analyze, decide, and act, learning from data and using tools like APIs. In cybersecurity, they boost analyst capacity, speed up response, and reduce SOC workload. Given their ability to autonomously triage threats, execute playbooks, and accelerate detection and response, CIOs and CISOs should evaluate where AI agents can complement their existing SOC functions, particularly in alert overload and phishing defense.