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Field notes & analysis

Written by the people doing the work — threat research, regulatory guidance, and what we learn on live engagements.

AI Hallucination in Critical Systems Zentara

AI in Cybersecurity19 Feb 2026

AI Hallucinations in Critical Systems: Detection, Prevention, and Mitigation

Artificial intelligence is now embedded in critical systems, from cybersecurity operations and healthcare diagnostics to legal analysis and enterprise decision-making. As adoption accelerates, one structural risk has become impossible to ignore: AI hallucinations. Recent real-world incidents have sh

Trimikha Valentius

Blog18 Feb 2026

Data Loss Prevention Strategy: Where DLP Fails and How to Fix It

Most enterprises have invested in Data Loss Prevention. Policies are written, tools are deployed, and dashboards show activity. Yet sensitive data still leaks through email, cloud apps, personal devices, and trusted users. This gap matters more than ever. Data is now everywhere. It lives across SaaS

Adam

AI in Cybersecurity17 Feb 2026

Mobile App Security Testing: The Vulnerabilities Attackers Exploit Most

Mobile applications now handle banking transactions, healthcare data, enterprise credentials, and personal identities. For attackers, that makes them high-value targets. Yet many organizations still treat mobile app security testing as a release checkbox rather than a continuous security function. F

Toni Widiarto

AI in Cybersecurity11 Feb 2026

Moltbook and the Reality Check Every AI Social Network Needs

The rapid rise of Moltbook has been framed as a glimpse into the future of the internet: an AI social network populated by autonomous agents that post, interact, debate, and evolve without constant human input. For technologists, it was fascinating. For security professionals, it was inevitable that

Trimikha Valentius

Blog11 Feb 2026

Malware Removal for Enterprises: What “Clean” Really Means After Infection

When a malware alert is resolved, many organisations breathe a sigh of relief. The file is deleted. The endpoint is reimaged. The ticket is closed. On paper, the system is clean. In reality, that assumption is one of the most dangerous moments in enterprise security. This is why malware removal for

Toni Widiarto

Blog04 Feb 2026

Ransomware Response Plan: The Decisions You Must Make in the First 60 Minutes

Ransomware is no longer a distant, hypothetical risk. It is a board-level crisis that can unfold in minutes and escalate globally in hours. For many organisations, the real damage does not come from the malware itself, but from hesitation and confusion in the first 60 minutes after detection. This m

Surya Maulana

Blog03 Feb 2026

XDR vs SIEM vs SOAR: What Each One Does and Where Teams Misuse Them

Security teams are not short on tools. They are short on clarity. SIEM, SOAR, and XDR are often discussed as interchangeable or as successive “upgrades” to one another. In reality, they solve different problems, operate at different layers, and fail for different reasons when misused. Understanding

Darian Kuswanto

Blog02 Feb 2026

Stop Using “async def” For Your ML Models Unless You Like Latency

A while ago, I was on my way to approve a pull request for a production ready ML internal microservice. The Machine Learning (ML) team had built a working, performant model and wrapped it in FastAPI. The unit tests were all green. During load testing, some of the tests timed out. So I thought maybe

Adam

Blog01 Feb 2026

This Is How We Reduced LLM Security Risks

We are shipping faster, but are we shipping safer? An LLM-based coding tool is an essential part of modern software development, particularly for teams that aim to ship features at an incredible speed. Every engineer must use these tools to stay competitive. Especially when GitHub data shows develop

Adam

Blog30 Jan 2026

Fintech Security in SEA: A Practical Security Baseline for Growth-Stage Teams

Security operations teams are under pressure from both sides. On one hand, threats are increasing in volume and sophistication. On the other, hiring experienced security talent is expensive, slow, and increasingly competitive. CISOs are left with a recurring question that has no simple answer. When

Surya Maulana

Blog30 Jan 2026

Offensive AI: Red Teaming di Era Generative Models

Perubahan ini menuntut evolusi dalam pendekatan keamanan. Red teaming tradisional yang mengandalkan proses manual dan kreativitas manusia kini tidak lagi cukup. Webinar memperkenalkan konsep AI-Augmented Red Teaming, yaitu penggunaan AI generatif untuk: Perbandingan yang ditunjukkan sangat jelas: St

Toni Widiarto

Blog29 Jan 2026

Incident Response Readiness Checklist: What to Prepare Before a Breach Happens

Cybersecurity incidents are no longer rare events. They are expected disruptions that every organization will face at some point. Despite this reality, many enterprises remain underprepared, relying on ad hoc decisions and fragmented processes when an incident occurs. This lack of preparation often

Riri