Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Network security policy management systems must accurately track dynamic IP address changes within tags to correctly answer traffic simulation queries. This ensures policy compliance even as cloud environments scale elastically, preventing redundant audit alerts.

Is your team using AI tools at work? Without the right guardrails, you could be exposing your business to data breaches, compliance violations, and serious reputational damage — and most companies don't see it coming. In this video, we break down the 7 hidden risks of AI in the workplace — from data privacy breaches and AI hallucinations to Shadow AI, prompt injection attacks, and intellectual property complications. We also cover the best practices every organization needs to manage workplace AI risks before they become costly problems.

In this episode, we're excited to introduce Robin Gandhi, Chief Product Officer at Lithic, the programmable card issuing and processing infrastructure for developers, digital banks, and financial institutions handling billions in annual volume. Robin brings over a decade of deep fintech expertise across product, partnerships, and global operations. Before joining Lithic, he served as CPO at Nium, defining payment strategy across 190+ countries, and held leadership roles at Navan (formerly TripActions) and Adyen, where he scaled global issuing and North American partnerships.

In the recently published blog from Memcyco titled "From Brand Impersonation to Account Takeover: The ATO Attack Chain" we discussed how brand impersonation attacks operate as a fast-moving sequence from lookalike domains and cloned pages to credential harvesting and account takeover, why traditional brand monitoring and domain takedown tools consistently miss the exposure window, and how real-time signal correlation can connect impersonation indicators directly to fraud and authentication workflows before the attack concludes.

Think this is just another product video? Think again. Join us for a live demo of Astra Autonomous Pentesting and see how modern security teams uncover and validate vulnerabilities in real time.

AI agents don't just answer questions—they access enterprise data, call APIs, interact with MCP servers, and trigger workflows. That means sensitive information like PII, PHI, HR records, pricing data, financial information, and confidential business data can flow through AI systems. In this YouTube Short, Amar Kanagaraj explains why AI governance, data security, and data sovereignty are essential for enterprise AI deployments—and how the NetScaler × Protecto integration helps organizations secure AI workflows.

Golden images: start hardened, then build on top and re-check. Phil White (CIS) on best practice for provisioning secure servers.

If you configure to a CIS Benchmark, auditors will check the box and move on. Phil White explains why trying to define your own standards isn't worth it.

A prompt injection attack through server logs becomes possible when hidden instructions are processed later by an AI log analysis tool. That turns normal logging into a possible data exfiltration path and gives attackers a new way to abuse LLM workflows without touching the main application logic.

Explore how Microsoft Entra ID unifies identity across cloud platforms including Microsoft 365 and Microsoft Azure, HR systems, and on-premises directories - enabling secure sign-in, lifecycle management, and access control. This video explains why identity protection is essential for operational continuity, compliance, and cyber resilience, and highlights the importance of backup and recovery for the identity layer.