Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

Guarding the Manufacturer's Core: Securing Intellectual Property in the Age of AI at Renesas

Organizations like Renesas face critical risks when utilizing AI, as these platforms often incorporate user-submitted data into their models. Significant security incidents have occurred where sensitive source code, firmware, and proprietary designs were inadvertently made public after being uploaded for testing. A major business risk involves the potential loss of intellectual property, which can directly impact an organization's primary revenue streams. Beyond data leakage, AI presents risks through "poisoning" and the fact that AI-generated output is frequently inaccurate.

AI Security Architecture: Zero Trust Patterns for GenAI and ML

There is no doubt that AI, or Artificial Intelligence, is rapidly changing how businesses are operating. However, it also brings new risks when it comes to data. As per industry reports, 72% of companies mention that there has been a significant increase in organizational cyber risks. It is therefore necessary to have a strong AI security architecture that helps to protect sensitive information. In light of this, 85% of organizations are now increasing their cybersecurity budget.

Codex builds at AI Speed, 1Password Secures it

Secure secrets for agentic workflows with 1Password MCP Server and Codex As AI agents write, execute, and ship production code, they need access to systems like databases, APIs, and deployment pipelines. With 1Password Environments MCP Server for Codex, instead of putting credentials directly into prompts or files, we provision a secure runtime environment where secrets are mounted, used, and discarded, with user authentication required at the moment of access.

Govern AI agents the right way with Identity Manager by One Identity

AI agents are becoming an inseparable part of identity governance, sometimes being created by other AI agents and acting proactively across platforms at machine speed — but who’s watching them? Identity Manager 10.0 by One Identity answers that question. Hear Ingrid Thorpe, director of product management for Identity Manager, explore how the solution governs agentic workflows, tackles agent-specific risks and integrates across cloud and enterprise platforms, holding non-human identities (NHIs) accountable.

The Authorization Trap: Why Your IAM Controls Don't Cover AI Agent Risk

If there's one idea that shaped RSA 2026, it was identity. Vendor booths, keynotes, conversations. All roads led back to the same instinct: control identity, control access, control risk. That instinct is directionally correct. Identity governance is foundational. But identity answers only part of the question agentic AI is asking. Here's the part it doesn't answer: authorization tells you what an agent was permitted to do. It says nothing about whether what it actually did was appropriate.

AI Agents, Enterprise Scale, No Compromises: Now via AWS

A couple of years ago, AI agent security was a niche conversation. The practitioners who took it seriously were a small group of researchers, a handful of forward-looking CISOs, and a few founders who had watched the attack surface forming in real time. The broader market hadn't caught up yet. It has now. Enterprises are deploying AI agents at scale across platforms. The productivity gains are real. The competitive pressure to adopt is real.

What it took to get 90% of Tines using AI workflows in production

Every conversation I have with CIOs and IT leaders right now starts the same way. They're not short on activity. They've got pilots running, tools deployed, teams experimenting. What they don't have is much to show for it. The data backs it up: 92% of companies are ramping AI investment right now. Only 1% consider themselves mature.