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AI security

Securing AI systems, and defending against attackers who use them.

Tagged “AI security”

LLM Observability Langchain Langfuse Zentara

AI in Cybersecurity27 Feb 2026

A Recipe for Langchain LLM Observability Using Langfuse

When a standard app fails, you check the stack trace. But when an agent fails, you don’t know what to do. Is the model stuck in a recursive loop? Did it misunderstand the tool output? Is the “Critique Agent” currently hallucinating a list of reasons why the “Research Agent&#8

Adam

AI in Cybersecurity20 Feb 2026

A Technical Guide to Choosing SIEM: When Classic SIEM Is Enough, and When Agentic SOC Is Needed

SOC in Southeast Asia in Critical Condition SOC (Security Operations System) teams in Southeast Asia are currently in a critical state and experiencing extraordinary pressure. Based on a report recorded by Indonesia’s BSSN (National Cyber and Crypto Agency), there were 3.64 billion cyberattacks or a

Alisha

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

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

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

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

AI in Cybersecurity27 Jan 2026

AI in Project Management: How AI Is Changing the Role of Project Managers

Artificial Intelligence is no longer a future concept in project management—it’s already reshaping how projects are planned, tracked, and delivered. But with headlines claiming that “AI will replace 80% of project managers’ work in the next five years”, many professionals are left wondering: Will AI

Riri

AI in Cybersecurity20 Jan 2026

AI in Project Management for Enterprises: What to Automate (and What Not To)

Artificial intelligence is already embedded in how enterprise projects are planned, tracked, and reported. From automated scheduling to predictive risk analysis, AI tools are changing day-to-day project management faster than most organizations expected. For Project Managers, the real question is no

Anthony Reza

Blog14 Jan 2026

How to Roll Out AI in the PMO Without Breaking Compliance

AI is Entering the PMO, Ready or Not Artificial intelligence is no longer a future concept for project management offices. It is already embedded in scheduling tools, portfolio forecasting, risk prediction, and automated reporting. For many PMOs, the pressure to adopt AI is coming from the top, driv

Adrian Soeranto

AI in Cybersecurity05 Jan 2026

AI vs Hackers: How Automated Attacks Are Evolving in 2026

Cyberattacks are no longer shaped primarily by individual skill or manual effort. They are increasingly defined by automation. By 2026, the defining characteristic of the threat landscape will not be that attackers use artificial intelligence, but that attacks themselves operate as automated systems

Trimikha Valentius

AI in Cybersecurity26 Dec 2025

AI Cybercrime: 5 Red Flags to Watch Out For

Artificial intelligence is now a major driver of modern AI cybercrime. Tasks that once required skill and time can be automated through generative AI, allowing attackers to move quickly, appear legitimate and slip past traditional defences. Security teams that still look for obvious errors in emails

Marsha Widagdo

AI in Cybersecurity06 Dec 2025

How AI and APTs are Redefining Cyber Warfare in 2025 in Southeast Asia

The cyber threat landscape in 2025 looks dramatically different from even five years ago. Nation-state actors and highly resourced adversarial groups have begun leveraging artificial intelligence not merely as a tool, but as a force multiplier. The fusion of AI and APTs has opened the door to offens

Trimikha Valentius