Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

Why AI Alone Isn't Improving Vulnerability Remediation

AI is widely used in exposure management, but most implementations stop at prioritization and analysis. While AI improves visibility and decision-making, remediation still depends heavily on manual ownership, coordination, and inconsistent processes. To truly improve vulnerability remediation outcomes, AI needs to extend into the execution layer, helping identify owners, define remediation plans, and deliver fix-ready work that turns decisions into action.

Shadow MCP Servers: The AI Infrastructure You Can't See

In 2012, the "Shadow IT" crisis was employees putting files in Dropbox for convenience. In 2026, the crisis is Shadow MCP. Instead of a simple file storage app, security teams are now facing unvetted AI agents with the power to read from and write to internal systems. These servers are often running on infrastructure that was never reviewed, never approved, and remains entirely invisible to governance.

How AI Is Transforming Detection Engineering

One of the most important shifts AI enables in detection engineering is changing where engineers spend their time. Traditionally, a significant portion of detection development effort is consumed by implementation details: writing complex SQL queries, building enrichment pipelines, handling edge cases, tuning rule logic, writing tests, documenting detections, and repeatedly iterating on detection logic. Those tasks are necessary, but they are also time-consuming.

Misconfigured Security Controls Open the Door for Storm-2949

The Microsoft Defender Security Research Team and Microsoft Threat Intelligence documented a campaign in which Storm-2949 abused Microsoft Entra ID accounts to exfiltrate data from Microsoft 365 and Azure environments. The attack shows how cloud intrusions increasingly unfold through identity systems, administrative features, and legitimate platform capabilities rather than obvious malware or traditional endpoint compromise.