Explore the latest trends, analysis, and best practices in IT validation and testing from Tolly Group's industry experts.
Insights, industry trends, and testing best practices

Zyxel's Nebula platform breaks the SMB networking paradox with free cloud management and right-sized hardware that deliver enterprise capabilities without enterprise costs, while solving the switch bottleneck that cripples most WiFi 7 upgrades.
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LevelBlue's acquisition of Cybereason adds XDR & DFIR capabilities to create the world's most comprehensive pure-play managed security services provider.
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cPacket's packet-based observability platform eliminates monitoring blind spots through line-rate capture and AI-driven anomaly detection, providing definitive troubleshooting across hybrid environments where traditional sampling fails.
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Vectra AI's acquisition of Netography adds cloud-native network observability to its AI-powered detection platform, unifying visibility and threat detection across hybrid and multi-cloud environments.
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Purpose-built packet brokers process terabit-scale traffic without packet loss, eliminating visibility blind spots that expose enterprises to undetected threats and costly downtime.
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Infoblox's protective DNS approach shifts cybersecurity from reactive detection to preemptive threat prevention by blocking malicious domains before weaponization against AI-generated attacks.
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Cygna Labs' software-defined DDI platform unifies fragmented network management across cloud, edge, and IoT environments without requiring infrastructure replacement.
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F5's acquisition of CalypsoAI adds inference-layer AI security to its Application Delivery Platform, defending against prompt injection and model manipulation attacks.
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CheckPoint's acquisition of AI security specialist Lakera combines inference-layer protection technology with CheckPoint's Infinity Platform, addressing urgent enterprise need for AI-native security defenses against prompt injection and model manipulation attacks.
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AI-enabled packet brokers automatically learn network baselines to eliminate manual configuration, enabling faster threat detection and consolidated security operations.
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ObservoAI's AI-native pipeline technology that reduces telemetry volumes strengthens SentinelOne's transformation into an AI-powered security platform as data increases overwhelm traditional SIEMs.
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SlashNext's predictive AI technology for real-time email threat detection strengthens Varonis's security capabilities as cybercriminals increasingly weaponize AI for more sophisticated attacks.
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Microsoft's Zero Trust DNS (ZTDNS) addresses critical DNS security vulnerabilities by encrypting queries and enforcing endpoint policies, transforming Windows devices into active participants in DNS-based threat prevention.
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Unified security management platforms with AI automation enable MSPs to scale operations efficiently by consolidating multiple tool interfaces and reducing administrative overhead.
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While AI discussions focus on GPU counts and compute power, the overlooked switch buffer architecture choice (split versus shared) determines whether synchronized training runs efficiently or becomes an expensive bottleneck.
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The moment quantum computers become powerful enough to crack current encryption is expected in the coming years, though hackers are already stealing encrypted data now to decrypt it later.
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Tolly's rigorous study sets the stage for five indispensable takeaways that turn AI transcription into a reliably accurate tool.
Read ArticleHolistic workload and security emulation aligns congestion controls and threat defenses so high-speed AI infrastructures stay fast, lossless, and resilient.
Read ArticleEnd-to-end generators with pinpoint impairment testing fine-tune lossless Ethernet features, keeping AI workloads on schedule while sidestepping costly over-provisioning.
Read ArticleScalable traffic-emulation uncovers hidden congestion and accelerates AI training timelines, letting teams vet next-gen fabrics without standing up enormous GPU labs.
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Modern enterprise networks require real-time analytics to navigate complex IT landscapes and proactively optimize performance across hybrid infrastructures.
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Ultra-fast, reliable connections are transforming data centers to support massive parallel computing and AI workloads with reduced latency and increased throughput.
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AI training and processing demands are driving a paradigm shift in network performance through specialized hardware offload that dramatically reduces latency and improves data exchange speeds.
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Managed rule sets streamline web application security by providing comprehensive, automatically-updated protection against evolving cyber threats without requiring specialized security expertise.
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Lightweight, efficient security architectures are emerging to protect the rapidly expanding IoT ecosystem while maintaining device performance and minimal resource consumption.
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