Threat actors are operationalizing AI to scale and sustain malicious activity, accelerating tradecraft and increasing risk for defenders, as illustrated by recent activity from North Korean groups ...
Business leaders can’t control who cybercriminals hire, but they can control how effectively their own organizations defend, ...
AI didn't just create new attack surfaces. It fundamentally changed who—and what—is requesting access in your environment.
Rising cybersecurity threats, expanding digital footprints, and increasing reliance on AI-powered analytics are driving robust demand across the anomaly detection market, as enterprises prioritize ...
Confluent's latest Confluent Intelligence features include support for both Anthropic's Model Context Protocol (MCP) and the Agent2Agent (A2A) protocol within Streaming Agents, plus a new multivariate ...
In 2026, artificial intelligence (AI) systems are deployed at scale to support clinical decision-making. Algorithms detect cardiac arrhythmias from ECGs, classify skin lesions from photographs and ...
New compact platforms reduce cost, footprint and complexity of automated inspection for manufacturers entering Industry ...
Intelligent Audit earns top industry recognition for DeepDetectAI’s role in advancing accuracy, fraud detection, and ...
Generated continuously by the NetQuest Streaming Network Sensor (SNS) platform, NetworkLens delivers structured, high-value network intelligence across application activity, routing behavior, ...
As AI integration accelerates across SCADA, DMS, and OMS platforms, the absence of security-first architecture guidelines ...
Confluent’s Streaming Agents use the Agent2Agent (A2A) protocol to trigger and coordinate external AI agents using real-time data streams, making it easier to connect AI systems across an enterprise.
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