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How to Build AI-Native Security Resilience (And Finally Get Developers And Security On The Same Team) | Harness Blog

Developers and security professionals have struggled to get on the same page for what seems like forever and AI is only making that divide larger, according to results from our State of AI-Native Application Security 2025 research report.

We Turned Our WireShark Wizard Into a Markdown File

Rocky AI — Checkly’s AI agent — is now Generally Available. We developed Rocky AI over the last ~6 to 8 months. This is an aeon in AI-years. During this period, we learned a ton. About AI, but mostly about how to fit them into an existing SaaS product, not just another chat widget. This is my ramble…

Introducing Rocky AI to General Availability

After months of being available in Beta for our app users, Rocky AI is now generally available to all users and plans. Rocky AI is Checkly’s AI agent that works around the clock, 24/7, to make sure your application’s reliability is optimal. In this first release, Rocky AI ships with the ability to run continual Analysis on test and check failures, giving your teams AI-powered root cause analysis, impact analysis, and more.

Buy vs Build in the Age of AI (Part 1)

A few months ago, I spoke to an engineering manager who proudly told me they had rebuilt their monitoring stack over a long weekend. They’d used AI to scaffold synthetic checks. They’d generated alert logic with dynamic thresholds. They’d then wired everything into Slack and PagerDuty, and built a clean internal dashboard. “It used to take us weeks to prototype something like this,” they said. “Now it’s basically instant.” They weren’t wrong.

Claude Code Security Launch Triggers Cybersecurity Industry Reassessment

On February 20, 2026, Anthropic launched Claude Code Security, an AI-based tool to scan codebases, identify security weaknesses, and provide patching solutions. The Claude Code preview caused a panic that resulted in billions in lost market capitalization among cybersecurity stocks. CrowdStrike shares decreased by 8%, reaching approximately $388.87, while Okta experienced a 9.2% decline and Zscaler saw a 5.5% drop in its stock price. That demonstrates the increasing investor anxiety about AI technology developments that threaten to disrupt established cybersecurity frameworks.

How Operations Teams Protect Profit Margins From Currency Swings

Profit margins rarely collapse overnight. Instead, they erode quietly through small inefficiencies, rising supply costs, logistic delays, and currency fluctuations. The first line of defense for any company expanding globally is the operations team. A sudden movement in foreign exchange markets can seriously influence a company's seamless operations by raising procurement costs, inflating payroll expenses, or reducing international revenue as the currency in which you generate earnings becomes weaker.

Debugging Encrypted Microservice Traffic with Speedscale's eBPF Collector

Production bugs that only reproduce in actual traffic can be some of the most frustrating bugs in software development. You can stare at your logs, add traces to your code, add instrumentation – and still not be able to see the actual requests that went over the wire. And that gets even harder when the requests are encrypted and the system is a black box. You can use tools like Wireshark or Kubeshark to capture the requests.

Spring Boot API Testing: A Practical Guide for Enterprise Teams

Enterprise Spring Boot APIs should be tested at three levels: unit tests for business logic, integration tests for external service behavior, and traffic replay for production edge cases. Most teams only do the first. This guide shows all three using a real Spring Boot application that calls external APIs (SpaceX, US Treasury) with JWT authentication. The kind of service that looks simple in development and breaks in production.

Did ChatGPT take down Claude?

On March 2, 2026, Claude experienced a widespread service disruption that affected users across North America, Europe, Asia, and Australia. The outage quickly drew significant media attention, with numerous technology news outlets reporting on user frustration and downtime. In the early hours of the incident, some commentators speculated that the disruption may have been caused by a sudden influx of new users migrating from OpenAI. However, there is no public evidence confirming that theory.

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