Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

During identity verification, organizations typically have to decide between increasing security controls and improving user conversion. Tighter checks mean more abandonment, and smoother flows mean more risk. Most verification flow design is an exercise in finding the right tradeoff. Mobile driver's licenses (mDLs) are different. Because an mDL is cryptographically signed by the issuing DMV and presented directly from a user's device, it's both faster to verify and harder to fake.

AI agents have developed advanced capabilities faster than most would have imagined. In enterprise contexts, workforces are delegating more and more tasks to them. While the promise of increased productivity is enticing, the shift from deterministic automated tools to agentic autonomous systems introduces security risks that most enterprises haven’t prepared for.

Imagine spending weeks moving a strong job candidate through a rigorous interview process. The hiring manager is excited for their new hire and collaborates with multiple teams to prepare for a smooth onboarding. But on day one, a completely different person shows up for the job. For too many companies, scenarios like this have become disturbingly common. Besides introducing serious security risks, fake job candidates waste valuable talent team resources.

As a fraud analyst at Persona, I have to balance working on fraud escalations for specific customers and keeping an eye on cross-customer (and cross-industry and cross-region) fraud trends. The work naturally overlaps, as one escalation can turn into a trend as fraud rings move on to new targets. And, getting ahead of large trends helps us stop escalations. I have a lot of tools at my disposal, but I want to discuss Graph, Persona’s real-time link analysis product.

Your security team has hardened your perimeter. You have MFA enforced, endpoint detection running, and your crown-jewel systems are locked down tight. Then a vendor you onboarded two years ago, a mid-size SaaS tool your procurement team signed off on, gets breached. They had access to your customer data. Now it is your problem. This is the third-party risk problem in one paragraph. And it is why TPRM has moved from a compliance checkbox to a board-level conversation.

WordPress sites are adopting AI faster than any other web technology category, and the impact is already visible. Over 61% of WordPress site owners now use at least one AI tool for content creation or marketing. WordPress teams are using that access to write content, automate workflows, run chatbots, and process customer data at a scale that was simply not possible before. But as AI adoption grows, so does the risk.

In 1997, IBM’s Deep Blue, the first AI agent, made history by defeating Garry Kasparov at chess. Since then, AI agents have advanced dramatically, evolving from single‑task systems to agents like OpenAI’s Operator, which can autonomously fill out forms, place orders, and schedule appointments. WordPress is a popular CMS that powers more than 20% of the top one million websites. Bringing AI agents into WordPress opens up new possibilities, making sites more capable and adaptive.

Let’s dive into how Two-Factor Authentication for WordPress (2FA) can revolutionize your LMS security game.

There are dozens of "Top 10 Magento Security Extensions" lists on the internet, and most of them have the same problem: they read like Amazon product roundups. Logo, three bullet points, price, next product. They tell you what exists, but not what to actually buy — or whether you need to buy anything at all.