Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Rethinking AI Guardrails: A Layered Approach to AI Infrastructure Security

Rethinking AI Guardrails: A Layered Approach to AI Infrastructure Security Are guardrails enough to secure AI models? A10's Jamison Utter and Arjoyita Roy explore why relying solely on edge filtering creates a false sense of security for modern infrastructure. Discover the necessity of a layered, architectural approach to guardrail systems. Key Takeaways.

How to Hide the Status Bar and the Notification Bar on Android Devices?

Android devices are designed for flexibility. Employees can check notifications, adjust connectivity, open settings, and move between apps with a few taps. That flexibility works well for personal use, but it can introduce distractions, security gaps, and usability issues when a device is dedicated to business tasks.

Dissecting Attacks Is Only Valuable If It Informs Controls: What the Unit 42 agentic AI investigation should change in your control set, stage by stage.

The volume of published incident research involving agentic AI is increasing, and the analysis that follows each report tends to concentrate on the same attribute: speed. The recent investigation from Unit 42, the threat intelligence and incident response group at Palo Alto Networks, is a representative case.

CVE-2026-0768: Critical RCE in Langflow AI Agent Builder

A critical remote code execution vulnerability has been identified in Langflow. The vulnerability was first reported to the vendor in mid-2025 and disclosed publicly as a zero-day in January 2026. Exploitation attempts rose sharply in late August 2026, moving from isolated probing to continuous, multi-source scanning within days.

CrowdStrike Falcon Guardian: Secure AI Agents Where They Execute

CrowdStrike Falcon Guardian secures AI agents where they execute, delivering runtime visibility, governance and protection through the CrowdStrike Falcon platform. Falcon Guardian continuously discovers AI agents, connects AI activity to downstream endpoint execution for prompt-to-impact visibility, helps security teams investigate threats and determine blast radius, and enables response before threats spread. It also builds on proven AI security capabilities for Shadow AI discovery, AI governance, sensitive data protection and defense against AI-specific attacks.

Best Hypervisors in UAE for Enterprise Virtualization

Selecting a hypervisor in the UAE is no longer just a technical infrastructure decision. For many enterprises, it now affects licensing predictability, data management, operational resilience, security, and access to regional support. As organizations continue their digital transformation initiatives, infrastructure teams are also reassessing long-standing virtualization platforms. Changes in VMware licensing and ownership have encouraged many enterprises to explore VMware Alternatives and plan potential VMware Migration strategies.

Securing AI Beyond the Filter Layer | A10 Networks

Securing AI Beyond the Filter Layer | A10 Networks In this second session of our AI security series, Jamison Utter and Arjoyita Roy from A10 Networks dive into the limitations of traditional guardrails and explore what it takes to secure agentic AI. Learn why basic prompt filters fall short, how external guardrails fit into your security posture, and how to govern autonomous AI agents across the entire reasoning loop effectively.

Acronis Ranked #1 in Cloud Email Security in the G2 Fall 2026 Grid Report

Email remains the primary entry point for cyberattacks, making effective email security more critical than ever. That’s why we’re especially proud that customers ranked Acronis Cyber Protect Cloud in the G2 Fall 2026 Cloud Email Security Grid Report. Because G2 rankings are based on verified customer reviews, this recognition reflects the experience of the organizations and service providers that rely on Acronis to protect their users, data and business communications every day.

5 Tips for Scaling Cloud Security Without Adding Complexity

For years, managed service providers (MSPs) have secured customer cloud environments through periodic reviews of each tenant. That approach worked when a customer ran two or three cloud applications. As organizations adopt more SaaS applications, the number of environments, identities, and configurations to monitor also increases. The challenge is already visible.