Earlier this year, YouTube began rolling out a row of algorithmically recommended videos at the top of the Subscriptions page. The section, labeled "most relevant," surfaces content the algorithm predicts the user will engage with, pulled from channels the user already follows. The subscription feed still exists below it. But the default view, the first thing a user sees when navigating to a page they built through deliberate choices, now leads with what YouTube's algorithm thinks they should watch.

The post The Engagement Ratchet: How YouTube, Instagram, and Amazon Trained Users to Accept Less Control appeared first on Security Boulevard.

Master granular policy enforcement for hybrid classical-quantum AI workflows. Secure your MCP servers with post-quantum encryption and advanced threat detection.

The post Granular Policy Enforcement for Hybrid Classical-Quantum AI Workflows appeared first on Security Boulevard.

AI-driven and “legitimate” bots now make up a growing share of web traffic, blurring the line between value and risk. Security teams must treat bot traffic as a governance, cost, and cyber supply chain issue, guided by long-term visibility and analytics.

The post Monitoring Legitimate Bot Traffic is Now a Cybersecurity Requirement  appeared first on Security Boulevard.

Learn how to secure Model Context Protocol (MCP) deployments with granular policy enforcement and post-quantum cryptography for prompt engineering.

The post Granular Policy Enforcement for Quantum-Secure Prompt Engineering appeared first on Security Boulevard.

AI agents have moved from novelty to operational reality, acting autonomously across business systems in ways traditional AI security posture management (AISPM) and IAM can’t fully govern. Learn why risk now emerges at runtime, where existing posture tools fall short, and how Agentic SPM enables continuous discovery, runtime decision control, and auditability for autonomous agents.

The post Why AISPM Isn’t Enough for the Agentic Era  appeared first on Security Boulevard.