Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How an AI SEO Agency Helps SaaS Businesses Rank Faster Online

Software companies often depend on search visibility long before paid acquisition becomes efficient. Yet many teams publish pages without a clear intent map, a crawl plan, or realistic ranking priorities. Results slow down for predictable reasons. Search growth usually improves when technical repair, keyword research, and content planning move in the right order. With that structure in place, SaaS brands can reach evaluators earlier, support longer buying cycles, and build a steadier pipeline from organic discovery.

Invisible Cross-Tracking: How Mobile Apps Share Your Data and How to Stop It

Tracking user activity across apps on mobile devices is crucial, as data no longer flows from a single source on phones. For example, in the span of an hour, a user might open Instagram, Gmail, a shopping app, a weather app, and a free game, while various advertising tools quietly analyze network signals, device behavior, location data, and app usage patterns. A VPN won't remove every unique identifier in these apps, but it does make it harder to connect one link in this tracking chain: the digital network footprint.

DLP for GenAI: How to Prevent Sensitive Data Leaks in AI Tools

Employees are feeding sensitive data into AI tools at a pace most security teams did not anticipate. Source code goes into coding assistants. Customer records get pasted into ChatGPT to draft emails. Confidential contracts land in Gemini for summarization. According to Cyberhaven Labs research, 39.7% of the data employees share with AI tools is sensitive, and the volume is accelerating as AI adoption spreads from individual contributors to entire workflows.

Can Existing CNAPPs Secure AI Agents in Cloud Environments? Where Each Domain Stops

A CNAPP isn’t a single instrument. It bundles five separately-instrumented security domains — CSPM, CWPP, CIEM, CDR, and a fifth add-on module marketed as AI security — each watching a different observation point. So when leadership asks whether your CNAPP can secure the AI agents your team has shipped, you don’t get one answer. You get five.

AI Agent Governance: From Policy Framework to Runtime Enforcement

Most enterprise AI agent governance programs publish policies at the bottom three rungs of a runtime enforceability ladder while their architecture diagrams claim rung four. Almost no program reaches rung five, the only rung that produces evidence an auditor cannot dispute. The mismatch shows up in the audit committee meeting. The CISO walks in with the NIST AI RMF mapping, the AUP, the model cards, and the vendor risk assessments for every third-party API the agents call.

Why 'Secure' Mobile Apps Still Get Hacked | Post-Deployment Security

Your app passed testing. CI/CD ran clean. The App Store approved it. Your security team signed off. Six weeks later, attackers are reverse-engineering the binary on rooted devices, injecting JavaScript into your runtime, and probing API endpoints your scanner never modeled. Nothing in the code changed. The threat environment did. This is the central problem of modern mobile application security, and it doesn't get fixed by adding more pre-release scanners.

AI didn't create the identity problem. It exposed it. #netwrix #datasecurity #identitysecurity

As access changes constantly and sensitive data moves faster than security teams can track, visibility matters more than ever. Helen R., Director of Engineering at Netwrix, explains why identity and data security can’t operate in silos anymore, especially in the age of AI. Have questions about identity governance, AI, or protecting sensitive data? Experts at Netwrix, including Helen, are helping organizations navigate these challenges every day.

Developers Are Installing AI Agent Skills Too Fast

235,000 installs per week. That’s how quickly developers are downloading AI agent skills — packages that give AI coding agents new capabilities like shell access, file system operations, cloud access, and deployment permissions. But unlike traditional npm packages, agent skills introduce a completely new security problem: natural language instructions that AI agents can interpret and execute autonomously.