Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Announcing Claude Compliance API support with Cloudflare CASB

Today, we are extending Cloudflare’s cloud access security broker (CASB) to support the Claude Compliance API. Security and compliance teams can now monitor Claude usage directly in the Cloudflare dashboard. No endpoint agents required. Enterprise security teams have long struggled to see how users interact with sanctioned and unsanctioned applications. The rapid adoption of AI applications has made this harder.

New Claude Integration Brings Audit Data into the Falcon Platform

As organizations scale Anthropic’s Claude model across their workforce, they need the same level of auditability around AI platform activity that they expect from every other enterprise application. A new integration with the Claude Compliance API brings Claude activity into the CrowdStrike Falcon platform to deliver real-time visibility, detection, and automated response for AI use.

AI policy: a template for enterprise security teams

AI adoption inside security teams is now near-universal. Tines' Voice of Security 2026 report found that 99% of SOCs use AI in some capacity. What hasn't kept up is the policy that's supposed to govern it. ISACA's 2026 AI Pulse Poll found 56% of digital trust professionals don't know how quickly they could shut AI down after a security incident. The policy was supposed to handle this.

HIPAA vs. GDPR Compliance: What Is the Difference and Why Does It Matter?

For any business now, data privacy is no longer a legal issue. Companies today collect massive amounts of customer information through AI tools, healthcare apps, SaaS platforms, analytics systems, and cloud services. This has led organizations to take global privacy laws more seriously. This is even more important when it comes to the concept of GDPR vs HIPAA compliance requirements.

Common vulnerabilities in AI-developed applications

AI-assisted development tools are changing how software is built. From code generation and automated testing to rapid prototyping and full-stack application scaffolding, Large Language Models (LLMs) are increasingly being used to accelerate software delivery across startups, SaaS providers, and engineering teams. In many cases, these tools are delivering genuine operational value.

Best SaaS AI SEO Companies in the United Kingdom for Technical SEO at Scale

Technical SEO for SaaS is not the same discipline as technical SEO for e-commerce or media. SaaS marketing sites are frequently built on JavaScript frameworks - React, Vue.js, Next.js - that create rendering challenges traditional crawlers struggle with. Product documentation hubs generate thousands of dynamically created pages that require careful indexability management. App login portals must be correctly blocked from crawling without inadvertently blocking adjacent marketing content.

Predictive Indicators Every CX Leader Should Watch

Customer experience teams are under pressure to spot problems before they become visible in missed service levels, customer complaints or rising costs. Predictive indicators help leaders move beyond reporting what has already happened and start identifying where demand, performance or customer sentiment may shift next. For contact centres, the most useful signals are those that connect customer behaviour, operational capacity and team performance in a way that supports faster, better-informed decisions.

SMBs Hit a Cybersecurity Breaking Point as 91% Fear AI-Driven Attacks, Driving Shift to MSP-Led Security Models, WatchGuard Finds

LONDON, May 20 2026 -New research from WatchGuard Technologies, a global leader in unified cybersecurity for MSPs, reveals that while most businesses believe they are adequately staffed, the complexity, speed, and scale of modern threats - especially those powered by artificial intelligence - have outpaced what internal teams can realistically manage. The result is a fundamental shift away from do-it-yourself security toward externally delivered, always-on protection models.

Why AI-era attacks demand deterministic defense

The security industry spent a good chunk of early 2026 debating whether Anthropic’s Mythos and OpenAI’s Daybreak are truly dangerous or just good marketing. It's a reasonable debate. But while we're having it, attackers are asking a different question: how do we use tools like this to move faster than defenders can respond?