This blog post may sound a bit personal. That’s because it is. It is also a long story, so you might want to grab yourself some coffee (or your favorite beverage).

For government contractors, budgeting isn’t merely a bookkeeping exercise—it’s the pivot point on which projects, compliance, and profitability hinge. Yet, many 8(a) organizations and government contractors still struggle with outdated systems, siloed processes, and compliance complexities that create unnecessary hurdles.

An AI Bill of Materials (AIBOM) addresses this gap. It is a concise, living profile for every AI capability an organization can invoke—models, agents, SaaS features, plug‑ins, and APIs. Kept in a machine‑readable format, it serves as a practical record that can inform runtime decisions in a control plane. An AIBOM summarizes five things about each AI capability: who provides it, what it can do, what data it sees, where it runs, and how it should be treated.

What happens when the AI feature you shipped last quarter is compliant in one region—but illegal today in another? That’s the new normal. In 2025, the EU AI Act, new U.S. state privacy laws, China’s PIPL, and APAC rules are reshaping how organizations collect, process, store, and share data for AI. Privacy isn’t a back-office task anymore; it’s a front-line guardrail for product, security, and data teams.

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playbook: manual risk assessments, stitched together from siloed tools, delivered days or weeks after they’re already outdated.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.