Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Patching at the Speed of Mythos

Can you move faster without risking downtime? Mythos is putting pressure on IT teams to patch in days, not weeks. But September's Patch Tuesday was a reminder that speed comes with its own risk: what happens when the patch you need to deploy quickly is the thing that causes an outage? In this session, we'll unpack what September taught us about faster patch cycles and look at how teams can shorten remediation timelines without giving up the testing and control that keep production running.

Why AI Transformation Must Start With Security

Almost every organization is talking about artificial intelligence right now. Teams want to automate routine work, understand customers better, and make faster decisions. Yet many of them rush into new tools without asking a basic question: is our foundation safe? This is where an AI transformation consulting service often becomes useful, because it helps a business look at its security position before it builds anything new. Starting with security is not about slowing down. It is about making sure the progress you make actually lasts.

How AI-Powered Personalized Video Is Transforming Digital Customer Communication

Global enterprise channels process millions of customer support inquiries every day, and the cost of failing to deliver adequately in this context is estimated to be over $3.7 trillion. Traditional text emails and static PDF statements no longer cut through a digital landscape saturated with generic noise. Modern consumers expect communications that recognize their specific history, preferences, and current lifecycle stage.

AI threat detection: From reactive alerts to proactive defense

A suspicious login, an unexpected privilege change, and a surge in file downloads may reach your security team as separate alerts. Understanding whether they belong to the same attack requires context. For your IT and security operations teams, connecting these signals takes time. If you're a CIO or CTO, that delay can increase your exposure to operational disruption and data loss. AI threat detection helps you analyze security activity, identify suspicious patterns, and prioritize investigations.

5 AI scams that look legitimate in 2026 and the clues most people miss

Top Tips is a weekly column where we explore practical ways to make technology work better for you. From improving productivity and strengthening digital security to discovering smarter ways to use everyday tools, we share simple, actionable insights to help you navigate the ever-evolving world of technology with confidence. AI is making online scams harder to recognize. From fake government announcements to convincing video calls, fraudsters are using synthetic content to exploit trust.

AI SOC Adoption: Where to Start in the First 90 Days

John White is the Field CISO for EMEA at Torq. A respected security executive with more than 20 years of leadership experience, John previously served as CISO at Virgin Atlantic, where he led a multi-year transformation deploying the Torq AI SOC Platform to modernize cyber operations. Prior to Virgin Atlantic, he built and transformed security functions for global organizations, including ASOS, Liberty Global, AEG Europe, and KPMG. You’ve signed the AI SOC contract.

Job Seekers Who Use AI for Applications Need to be on the Lookout for Scams

Researchers at Malwarebytes warn that job seekers are increasingly vulnerable to scams as AI enables them to take a “spray-and-pray” approach to job applications. Users who have automated their job application process are more likely to forget where they’ve applied, and an unsolicited message from a recruiter may seem more plausible. Job seekers can also be more willing to overlook or ignore red flags associated with scams, since they’re anxious to avoid missing an opportunity.

Stop Reviewing Your AI Agents. Start Governing Them.

Brookings and the World Economic Forum say agent governance must be continuous, scoped in advance, evidenced, and monitored at runtime. We think that bar is correct, and that most organizations are nowhere near it. Most of what companies call AI agent governance today is paperwork. A review board approves the use case. A policy document says agents must follow least privilege. A risk assessment gets filed. Then the agent ships, and nobody can say what it actually did on Tuesday. That isn't governance.