Security

As of late February 2026, AI security is defined by adaptive attacks and layered, operational defenses.

Privacy in AI systems fails in the implementation details -- what gets logged, who can replay prompts, how long artifacts linger. Treat it as infrastructure, not a compliance checkbox.

AI systems are exposed APIs with real blast radius. The threats are injection, leakage, and tool misuse. The defenses are the same ones we've always needed -- just applied to a new surface.

AI safety in production isn't a research problem. It's defense in depth, the same way cyber defense works -- layered controls, assumed breach, observable boundaries.

Compliance doesn't have to slow you down. But you have to build it into the system from day one, not bolt it on after the demo impresses the board.

LLMs introduce security failure modes that most teams are not defending against. Prompt injection, data leakage, tool abuse, and cost attacks are real and exploitable today.

Responsible AI is not an ethics committee. It is operational risk management, and teams that treat it otherwise are building liabilities.

AI safety is not a philosophy problem for engineers. It is reliability, security, and accountability applied to a new kind of system.

Most container scanning setups generate noise, not security. Here is how to build a pipeline that actually catches what matters.

Bearer tokens are bearer weapons. Short lifetimes, tight scopes, encrypted storage, and real monitoring are the only defenses that matter.

Kubernetes defaults are built for getting things running, not for keeping attackers out. A layered hardening walkthrough covering pods, RBAC, network policies, secrets, and the control plane.

Log4j wasn't a dependency problem. It was an operational readiness problem. Here's what to fix before the next one hits.

Personal reflections on a year of growth, supply chain security wake-up calls, and ending the year neck-deep in Log4j response.

CVE-2021-44228 is the worst vulnerability I have seen in a decade. If you run Java anywhere, stop reading the news and start inventorying.

Zero trust from two perspectives: my NATO background in defense systems and work at a major telecom. The architecture patterns, the implementation path, and what most companies get wrong.

After years of building and running distributed engineering teams, here are the actual benefits, real dangers, and hard-won lessons about making remote work stick.

The concrete pipeline configs, policy-as-code patterns, and runtime controls I set up to bake security into delivery.

What SolarWinds taught us about supply chain security, and the concrete steps I've been implementing at enterprise scale.

The SolarWinds supply-chain compromise is the wake-up call every software team needed. What happened, why it matters, and what you should do right now.

Image scanning tells you what's in the box. Runtime security tells you what the box is doing. Here's how we lock down containers at Decloud with seccomp, network policies, Falco, and paranoia earned from NATO work.

VPNs trust the network. Zero trust trusts nothing. After years in NATO cyber defense and building infrastructure at Decloud, I've watched the perimeter model collapse in real time. Here's how to actually migrate.

Everyone's scrambling to scale cloud infrastructure overnight. I've seen what happens when security gets deprioritized under pressure — at NATO exercises, at Decloud, at the fintech startup. Here's how to not become a headline.

Most incident response plans are shelf-ware. Here's what actually matters when your infrastructure is on fire -- drawn from real breaches, NATO cyber exercises, and startup chaos.

Kubernetes defaults optimize for fast adoption, not safety. A hardening checklist drawn from running clusters at the fintech startup, Dropbyke, and early Decloud work.

Eight months after my first container security post, an update on what moved at the fintech startup and in the ecosystem — PodSecurityPolicy, image signing, and the shift from scratch to real.

You split the monolith. Now every service-to-service call is an attack surface. Here's how I think about identity, authorization, encryption, and secrets management in distributed systems.

Perimeter security is dead. At the fintech startup, I ripped out the castle-and-moat model and replaced it with zero trust — identity-first, micro-segmented, no implicit trust anywhere. Here's what that actually looked like.

Five days after the Spectre/Meltdown disclosure, a CTO's raw take on what happened, what we patched, and why this changes the game for anyone running shared infrastructure.

Containers give you process isolation, not a security boundary. I break down how we hardened images, locked down runtimes, and segmented networks at the fintech startup — plus the stuff nobody warns you about.

You can't afford a security team at a startup. But you can turn one motivated engineer per squad into a security champion — and that changes everything.

Your manual security gate is a bottleneck pretending to be a process. Here's how I moved security checks into the pipeline at the fintech startup so we could ship fast without shipping stupid.

WannaCry wasn't sophisticated. It was a known exploit with a patch already out. The real failure was organizational, and it's one most companies are still making right now.

We're 15 months from GDPR enforcement. Here's the technical checklist I'm working through at the fintech startup — data inventory, consent, deletion, and everything else engineering actually has to build.

APIs expose your systems to the world. Here's how to implement authentication and authorization that protects your data without frustrating legitimate users.

Security culture is not a training program or a tool purchase. It is a set of habits that leadership enforces through consistency, not speeches.

A practical incident response playbook for small teams: define incidents, assign owners, contain fast, investigate calmly, and recover with clear communication.