The problem with cybersecurity risk today? It won’t sit still. Modern risk is messy. It spreads across cloud workloads, third-party services, shadow assets, and developer pipelines. It evolves faster than most teams can keep up. And it rarely announces itself with a neat dashboard alert. Yet many organizations still rely on the old playbook: manual risk assessments, stitched together from siloed tools, delivered days or weeks after they’re already outdated.

I'm going to show you how to build a Lambda Runtime API extension that automatically scans and redacts sensitive information from your function responses, without touching a single line of your existing function code.

Network teams often risk costly disruptions when aging or unsupported hardware slips under the radar. With Forward Networks’ Network Query Engine (NQE), you can proactively identify devices approaching End‑of‑Sale (EOS) or End‑of‑Life (EOL), plus enforce hardware/software compliance at scale. Get ahead of risks, reduce technical debt, and align your infrastructure with business goals—automatically.

For years, cybersecurity meant defending a clear, defined perimeter. That era is over. Modern organizations are sprawling, borderless, and interconnected in ways security teams were never designed to protect. Employees log in from around the globe, business units spin up SaaS without approval, and third-party vendors extend risk far beyond your control. Attackers no longer need to hammer at a single gateway.

The digital interdependence of today’s healthcare supply chain has created new systemic risks. Cybersecurity is no longer limited to internal systems, but vulnerabilities in the innumerable third-party suppliers can now expose entire networks to disruption. From patient records stored in the cloud to diagnostic tools and logistics platforms, every element is a potential entry point for attackers.

It’s late at night. The SOC is lit by monitors flashing with alerts. Most are noise, some are false positives, and buried somewhere in the pile is a real threat waiting to strike. For many security teams, this is just another Tuesday. But for those using Securonix, it’s becoming a thing of the past. At Securonix, we believe security should empower, not exhaust. That means giving your analysts the context they need, the automation they want, and the confidence to act without hesitation.

For years, the cybersecurity industry has hyped AI as a game-changer, but what vendors often delivered was basic machine learning driven or simple predefined rules. The rise of ChatGPT and similar tools dramatically reshaped the landscape, prompting vendors to hastily identify real AI use cases in their offerings.

As AI becomes embedded across the enterprise — from customer-facing tools to backend automation — it dramatically expands the enterprise attack surface. Models, agents, apps, and data pipelines now span public and private clouds, SaaS, and edge environments, creating a sprawling, opaque risk landscape.