DNS has transformed from overlooked infrastructure into a critical security control point as disappearing network perimeters force organizations to protect distributed users at the resolution layer.
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.
Infoblox's protective DNS approach shifts cybersecurity from reactive detection to preemptive threat prevention by blocking malicious domains before weaponization against AI-generated attacks.
Cygna Labs' software-defined DDI platform unifies fragmented network management across cloud, edge, and IoT environments without requiring infrastructure replacement.
F5's acquisition of CalypsoAI adds inference-layer AI security to its Application Delivery Platform, defending against prompt injection and model manipulation attacks.
AI-enabled packet brokers automatically learn network baselines to eliminate manual configuration, enabling faster threat detection and consolidated security operations.
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.
Unified security management platforms with AI automation enable MSPs to scale operations efficiently by consolidating multiple tool interfaces and reducing administrative overhead.