The Chris and Andre Show

@chrisandandreshow.bsky.social

2 months ago

New Year, New Show Don’t call it a comeback, but we are indeed back! It’s been roughly 9 months since we last recorded, and a lot has happened in that time. We’ve made some changes to the show and will be adjusting our…

It's a new year, and we have a focus on sharing knowledge, building community, and doing life with each other. In this episode, we dive into the Artificial Intelligence bubble, bad business practices, and our time together at DZone.

#community #knowledgesharing #aibubble #business #tech #dzone

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@kitafox.bsky.social

6 months ago

Protecting Non-Human Identities Secrets can’t secure non-human identities at scale. Modern workloads require verifiable identity and contextual trust to operate safely.

人間以外のアイデンティティの保護: ワークロード MFA とダイナミック ID が今重要な理由

Protecting Non-Human Identities: Why Workload MFA and Dynamic Identity Matter Now #DZone (Sep 16)

dzone.com/articles/pro...

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@kitafox.bsky.social

6 months ago

How to Use AI to Modernize Software Architecture AI can accelerate development, but without guidance, it risks deepening architectural debt—with solid context and prompts, it can help strengthen architecture.

コードを超えて: AI を活用してソフトウェア アーキテクチャを近代化する方法

Beyond Code: How to Use AI to Modernize Software Architecture #DZone (Sep 16)

dzone.com/articles/ai-...

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@kitafox.bsky.social

6 months ago

Beyond the New OWASP LLM Top 10 The new OWASP LLM Top 10 highlights vulnerabilities unique to LLMs. Operationalizing LLM security means weaving safeguards beyond just referencing a checklist.

LLM アプリケーションのセキュリティ確保: 新しい OWASP LLM トップ 10 を超えて

Securing LLM Applications: Beyond the New OWASP LLM Top 10 #DZone (Sep 11)

dzone.com/articles/sec...

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@kitafox.bsky.social

6 months ago

OWASP Top 10 Non-Human Identity Risks for 2025 Learn about OWASP’s newest focus on Non-Human Identities and how to mitigate risks like secret leakage, overprivileged NHIs, and insecure authentication.

OWASPが2025年に予測する非人間的アイデンティティリスクトップ10：知っておくべきこと

OWASP Top 10 Non-Human Identity Risks for 2025: What You Need to Know #DZone (Sep 11)

dzone.com/articles/owa...

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@kitafox.bsky.social

6 months ago

Supercharging Your Chatbot With Context-Aware AI on AWS Tired of chatbots that feel scripted? Build a context-aware, AI-powered bot that remembers, responds intelligently, and scales seamlessly to your needs.

AWS のコンテキスト認識 AI でチャットボットを強化

Supercharging Your Chatbot With Context-Aware AI on AWS #DZone (Sep 10)

dzone.com/articles/sup...

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@kitafox.bsky.social

6 months ago

5 Questions to Ask Before Adopting Agentic AI Discover five critical questions enterprises must ask before automating with agentic AI to ensure trusted data, proper context, and sustainable growth

AIエージェントを構築する？自動化前に問うべき5つの重要な質問

Building AI Agents? 5 Critical Questions to Ask Before You Automate #DZone (Sep 4)

dzone.com/articles/age...

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@kitafox.bsky.social

6 months ago

Secure LLM Usage With Reversible Data Anonymization Protect sensitive data in enterprise LLMs using reversible anonymization. Anonymize, process, de-anonymize to ensure privacy, compliance, and LLM effectiveness.

LLMアプリケーションにおけるPIIの保護：データ匿名化の完全ガイド

Protecting PII in LLM Applications: A Complete Guide to Data Anonymization #DZone (Sep 4)

dzone.com/articles/llm...

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@kitafox.bsky.social

7 months ago

AI and Psychology: The Future of Secure Logins AI is replacing passwords with psychological and behavioral checks. Explore the future of emotion-based ID verification—and the big ethics questions it raises.

AIがセキュリティをどう変えるのか、泣きながら認証する

Cry and Authenticate How AI is Changing Security #DZone (Aug 28)

dzone.com/articles/ai-...

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@kitafox.bsky.social

7 months ago

AI-Powered Anomaly Detection for Industrial IoT Security Learn how a hybrid AI framework using LSTM autoencoders and decision trees detects anomalies in IIoT systems, enhancing security and operational resilience.

産業オートメーションのセキュリティ確保に向けたAI駆動型異常検知モデルの構築

Building AI-Driven Anomaly Detection Model to Secure Industrial Automation #DZone (Aug 26)

dzone.com/articles/ai-...

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@kitafox.bsky.social

7 months ago

GitHub Copilot vs Copilot Agent: AI Coding Tools Compared Explore how GitHub Copilot and Copilot Agent enhance software development, from smart code completion to autonomous project-wide refactoring and testing.

GitHub CopilotとCopilot Agentの比較分析：アーキテクチャ、機能、ソフトウェア開発への影響

A Comparative Analysis of GitHub Copilot and Copilot Agent: Architectures, Capabilities, and Impact in Software Development #DZone (Aug 26)

dzone.com/articles/git...

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@kitafox.bsky.social

7 months ago

Building Secure AI Foundations Through NHI Governance Align your AI pipelines with OWASP AI Testing principles using identity-based insights to monitor, enforce, and audit secrets and token usage best practices.

OWASP AIテストガイドの運用化：NHIガバナンスを通じて安全なAI基盤を構築する

Operationalizing the OWASP AI Testing Guide: Building Secure AI Foundations Through NHI Governance #DZone (Aug 20)

dzone.com/articles/sec...

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@kitafox.bsky.social

7 months ago

Context Engineering Is What Came Next Expanded context windows enable a shift from prompt engineering to context engineering, for example, optimizing what AI accesses rather than how we ask.

プロンプトエンジニアリングだけでは不十分。次に登場したのはコンテキストエンジニアリング

Prompt Engineering Wasn't Enough; Context Engineering Is What Came Next #DZone (Aug 20)

dzone.com/articles/pro...

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@kitafox.bsky.social

7 months ago

Securing Autonomous AI Agents: The Next Cyber Battleground AI agents now act autonomously—but most organizations aren't ready to secure them. Here's how to build trust, visibility, and control before it's too late.

サイバーセキュリティの新たなフロンティア：AIエージェントのセキュリティ確保が今や重要だが、ほとんどの企業は準備ができていない

The Next Frontier in Cybersecurity: Securing AI Agents Is Now Critical and Most Companies Aren’t Ready #DZone (Aug 14)

dzone.com/articles/ai-...

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@kitafox.bsky.social

7 months ago

The Kill Switch: A Coder's Silent Act of Revenge A bitter developer plants a hidden kill switch, exposing the dangers of insider threats and how a single line of code can cripple entire systems from within.

キルスイッチ：プログラマーの静かな復讐行為

The Kill Switch: A Coder's Silent Act of Revenge #DZone (Aug 18)

dzone.com/articles/kil...

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@kitafox.bsky.social

7 months ago

可用性から説明責任まで：クラウドで責任を持って AI ワークロードを実行する

Availability to Accountability: Running AI Workloads Responsibly in the Cloud #DZone (Aug 7)

dzone.com/articles/ai-...

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@kitafox.bsky.social

7 months ago

OpenAI を使って自分だけのカスタマイズされた ChatGPT を構築する

Build Your Own Customized ChatGPT Using OpenAI #DZone (Aug 6)

dzone.com/articles/bui...

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@kitafox.bsky.social

7 months ago

開発者が内部ディレクトリのセキュリティに注意を払うべき理由

Why Developers Should Pay Attention to Internal Directory Security #DZone (Aug 4)

dzone.com/articles/why...

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@kitafox.bsky.social

8 months ago

2025年ガートナー社iPaaSマジック・クアドラント：インテリジェントオートメーションへの移行

2025 Gartner Magic Quadrant for iPaaS: A Shift Towards Intelligent Automation #DZone (Jul 29)

dzone.com/articles/gar...

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@kitafox.bsky.social

8 months ago

ダウンタイムを回避する: システムを壊さずにレガシーアプリケーションをアップグレードするスマートな戦略

Avoid Downtime: Smart Strategies to Upgrade Legacy Applications Without Breaking Systems #DZone (Jul 25)

dzone.com/articles/avo...

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@kitafox.bsky.social

8 months ago

Practical Steps to Secure the Software Supply Chain End to E Learn practical steps to secure your software supply chain, including governance, development, deployment, identity management, and incident response.

ソフトウェアサプライチェーンをエンドツーエンドで保護するための実践的な手順

Practical Steps to Secure the Software Supply Chain End to End #DZone (Jul 18)

dzone.com/articles/pra...

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@kitafox.bsky.social

8 months ago

DevSecOpsの観点から見たソフトウェアサプライチェーンのセキュリティ規制

Software Supply Chain Security Regulations From a DevSecOps Perspective #DZone (Jul 21)

dzone.com/articles/sof...

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@kitafox.bsky.social

8 months ago

DevOpsパイプラインにおけるサイバーセキュリティの盲点

The Cybersecurity Blind Spot in DevOps Pipelines #DZone (Jul 11)

dzone.com/articles/cyb...

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@kitafox.bsky.social

8 months ago

高度な洞察生成：AIを活用した検索のためのデータ取り込みを革新

Advanced Insight Generation: Revolutionizing Data Ingestion for AI-Powered Search #DZone (Jul 9)

dzone.com/articles/ai-...

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@kitafox.bsky.social

8 months ago

ソフトウェアを台無しにしないための非公式ルール

The Unofficial Rules of Not Screwing Up Your Software #DZone (Jul 8)

dzone.com/articles/12-...

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@kitafox.bsky.social

8 months ago

Personal Data Anonymization: The Zero-Trace Approach With data being the new oil, the techniques to shield sensitive records from exposure are evolving in lockstep with increasingly sophisticated cyberattacks.

ゼロトレースパラダイム：個人データ匿名化における新技術

Zero-Trace Paradigm: Emerging Technologies in Personal Data Anonymization #DZone (Jul 8)

dzone.com/articles/zer...

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@kitafox.bsky.social

8 months ago

従来のデータ ウェアハウスはエージェント AI に駆逐されつつあるのでしょうか?

Are Traditional Data Warehouses Being Devoured by Agentic AI? #DZone (Jul 4)

dzone.com/articles/how...

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@kitafox.bsky.social

8 months ago

マイクロサービスの狂気：神話を暴き、落とし穴を暴く

Microservice Madness: Debunking Myths and Exposing Pitfalls #DZone (Jul 2)

dzone.com/articles/mic...

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@kitafox.bsky.social

9 months ago

サプライチェーン変革の解明：IIoTとデジタルツイン

Unveiling Supply Chain Transformation: IIoT and Digital Twins #DZone (Jun 24)

dzone.com/articles/sup...

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@kitafox.bsky.social

9 months ago

99% の精度では不十分な理由: ML マルウェア検出の現実

Why 99% Accuracy Isn't Good Enough: The Reality of ML Malware Detection #DZone (Jun 16)

dzone.com/articles/ml-...