Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

OpenAI HIPAA BAA: What It Actually Covers (And What Leaves PHI Exposed)

OpenAI now offers a Business Associate Agreement. For healthcare organizations and health-tech teams racing to deploy AI, that single sentence felt like permission to move fast. But here’s the harder truth: a HIPAA BAA is a legal document, not a technical control. And the gap between what OpenAI’s BAA promises and what it protects is where patient data quietly slips through.

Automating Entra ID tenant destruction with AI

AI-assisted browser automation can turn Microsoft Graph Explorer into a destructive Entra ID administration interface when a signed-in account already holds privileged access. Using Claude for Chrome, browser-side JavaScript, and Microsoft Graph batch requests, destructive actions such as user deletion, account disablement, password resets, session revocation, and Conditional Access policy removal can be automated directly from the browser session.

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.

CISA's GitHub Leak Is a Preview of the MCP Security Problem Every CISO Is About to Inherit

America's cybersecurity agency left its production credentials sitting in a public GitHub repo for six months. The same failure pattern is now being automated by AI agents in every enterprise running Cursor, Claude Desktop, or Copilot.

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.

LLM Access Controls and Audit Logging for Security Teams: A Practitioner's Guide

Most organizations have an acceptable use policy for AI tools. Very few have controls that actually enforce it. The gap between what the policy says and what security teams can detect is where insider risk lives when it comes to large language model (LLM) usage.