Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

CrowdStrike Falcon Guardian Defines the Next Generation of AI Security

AI has rapidly evolved into a technology that takes action. AI agents can reason, access enterprise systems, and execute tasks autonomously at machine speed, often with the full permissions of the users they serve. As these agents proliferate across the enterprise, organizations need to understand where they operate, what they do, what they can access, and how to stop threats before they become breaches. This shift demands a new approach to AI security.

Secure Data Sharing: Best Practices for Privacy and Compliance

Data sharing creates business value only when organizations can control where data goes, who can use it, and what happens after it leaves its original system. That becomes harder as businesses exchange customer records, financial information, healthcare data, and AI-ready datasets across employees, vendors, applications, and regions. The answer is not simply sending files through an encrypted channel.

5 AI Prompts Every MSP Should Know | WatchGuard Webinar

AI should do more than generate answers. It should help MSPs make better decisions. Many MSPs are experimenting with AI, but isolated tools and generic prompts often create more noise than value. Without the right questions, workflows, and operational foundation, AI can become another disconnected technology to manage rather than a meaningful driver of security and growth. This webinar explores five practical AI prompts every MSP should know, and how to apply them across security, service delivery, operations, and business strategy.

Configuration Drift in the Age of AI: 2026 Telemetry Report

Reach analyzed a year of telemetry from more than 50 production environments. The average organization generated 13 configuration drift alerts per day. 12 of them traced to a genuine, risk-prioritized exposure. A 92% signal rate on a category of alert most teams treat as background noise. The full report is out now. Security Intent vs. Security Reality: Configuration Drift in the Age of AI.

Three Frameworks, Three Definitions of AI Risk

Cross-mapping tables for AI evidence in life sciences already exist and are broadly right. Data integrity practice lines up against data governance requirements, software lifecycle logs against technical documentation and logging, human review checks against human oversight duties, post-market surveillance against post-market monitoring. Build one repository, present it two ways. ‍ All of that is sound and it starts one step too late.

Defending against AI-fueled social engineering

Social engineering has always been the softest edge of enterprise defense, and AI is sharpening adversaries’ attacks. Phishing, business email compromise, and impersonation still dominate the initial-access playbook, but AI has stripped out the cost, time, and skill barriers that once forced attackers to choose between reach and precision.

DIFC Regulation 10: AI system certification requirements orgs need to know

Accelerating security solutions for small businesses‍ Tagore offers strategic services to small businesses. A partnership that can scale‍ Tagore prioritized finding a managed compliance partner with an established product, dedicated support team, and rapid release rate. Standing out from competitors‍ Tagore's partnership with Vanta enhances its strategic focus and deepens client value, creating differentiation in a competitive market.