Flexera

Scaling Continuous AI Pentesting Across Multi-Cloud

The article argues that traditional, periodic penetration testing no longer matches the speed and dynamism of multi-cloud infrastructure. Citing industry studies, the piece highlights widespread multi-cloud adoption and major workforce shortages in cybersecurity, and describes how autonomous, AI-driven testing agents (agentic/continuous pentesting) can deliver faster, more consistent coverage, reduce triage costs, and integrate with compliance mapping. It references Cloud Security Alliance governance guidance that emphasises containment and human approval, and presents four operational components required to scale cloud pentesting: event-triggered continuous scanning, AI-assisted triage, human approval gates for destructive actions, and automated compliance mapping. The article frames the shift as financially compelling given lower breach costs for organisations using AI and rapid market growth in cloud-based pentesting.

Railway outage exposes cloud account suspension risk

A May 2026 incident left developer platform Railway partially offline after Google Cloud’s automated systems incorrectly suspended Railway’s production account at ~22:20 UTC on May 19, 2026. Railway runs workloads across Google Cloud, AWS and its own metal, but its routing control plane and account controls were hosted on Google Cloud; when the account was suspended cached routing data expired and users experienced platform-wide failures. Google reversed the suspension after escalation, but full recovery took hours as disks, networking, orchestration and dependent integrations (notably GitHub OAuth/webhooks) were restored and throttled to avoid a recovery surge. The outage highlights that multi-cloud compute redundancy does not protect against provider-level account/control-plane actions and that controlled recovery, support/escalation paths and account-level resiliency must be part of redundancy planning.

Marketers Question AI Visibility Tools' Value

Marketers and agencies are increasingly skeptical of AI visibility tools that claim to track brand mentions inside LLM-driven answers. The article reports inconsistent outputs, attribution errors and hallucinations across multiple platforms, making many practitioners treat these tools as benchmarks rather than sources of truth. Notable vendors cited include Profound, Peec AI, Ahrefs Brand Radar, Otterly.AI and Semrush; enterprise offerings and moves by major vendors — Adobe’s $1.9 billion Semrush acquisition and Microsoft’s expansion of Clarity — signal commercial interest and consolidation. Price points vary (starter plans under $100 to enterprise custom pricing), and some agencies are building internal solutions. Overall, the market is nascent: capability varies by provider and continuous, reliable measurement across channels is not yet feasible.