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AI in Cybersecurity.

35 articles on AI in Cybersecurity.

Articles in “AI in Cybersecurity”

AI in Cybersecurity21 Sept 2026

What Anthropic's September 2026 Threat Report Changes for Indonesian Security Operations

Anthropic’s September 2026 threat report reveals a drastic shift in attack velocity, showing how AI agents now drive intrusions from stolen dev keys to full cloud admin access in under 3 hours, requiring immediate updates to Indonesian security operations.

Zentara Team

AI in Cybersecurity17 Sept 2026

Defending Against Executive Deepfakes: Protecting Singapore Family Offices and Private Wealth

Learn how family offices in Singapore can protect executives, private wealth, and sensitive transactions from deepfake and AI impersonation scams.

Surya Maulana

AI in Cybersecurity15 Sept 2026

AI Governance Framework for Agentic AI in Singapore

Learn how Singapore organisations can apply AI governance frameworks, MAS FEAT principles, and human oversight to manage risks from agentic AI.

Trimikha Valentius

AI in Cybersecurity27 Aug 2026

Fine-Tuning An Open-Weight LLM For the SOC

We fine-tuned a 3B open-weight instruct model for SOC operations. The first run took 42 minutes, but the real constraint wasn't the GPU. It was the training corpus and the quality gates defined before building it.

Zentara Labs

AI in Cybersecurity18 Aug 2026

What Is Vishing? AI Voice Cloning Threats to Philippine BPOs

Learn what vishing is, how AI voice cloning enables social engineering, and how Philippine BPOs can protect agents from account takeover attacks.

Surya Maulana

AI in Cybersecurity22 Jul 2026

Your Second Brain: AI Tools Every UI/UX Designer Needs to Work Smarter

Most people who start using AI carry the same bad habit into it. They jump to a solution before they understand the problem. AI makes that habit worse, not better, because it can hand you a plausible “solution” in seconds. That was the opening provocation of our recent webinar, “Yo

Surya Nathaniel Kattu

AI in Cybersecurity14 Jul 2026

AI in Cybersecurity: How it Works, Risks, and Real Use Cases

Artificial Intelligence (AI) is now on both sides of the fight. Defenders use it to spot attacks faster. Attackers use it to break in faster. According to IBM’s 2025 Cost of a Data Breach Report, 16% of breaches now involve attackers using AI tools, while organisations that lean on AI for defe

Trimikha Valentius

How to Strengthen Ransomware Protection Against Modern Attacks

AI in Cybersecurity24 Jun 2026

LLM Refusal Behavior on Open-Weight Model

Written by: Trimikha Valentius (CAIO, Head of ZENTARA Labs), Alisha Deana (AI Researcher) Conversational language models refuse harmful requests because a thin behavioural layer is added on top of a pretrained base during post-training. This article treats refusal as exactly that: a layer, not a pro

Trimikha Valentius

AI in Cybersecurity29 May 2026

Protecting Singapore’s Industry Fintech from Autonomous Agentic AI Threats

As Singapore’s fintech sector accelerates its adoption of artificial intelligence, a new class of systems is emerging: agentic AI. Unlike traditional models, agentic AI systems can plan, decide, and act autonomously across digital environments. This evolution introduces new capabilities, but it also

Trimikha Valentius

AI in Cybersecurity07 May 2026

Inside AI Systems: A Research Lens on Hidden Risks

Most enterprises see AI as a simple, useful tool: a chatbot, recommendation engine, or scoring model. In reality, production AI sits on complex pipelines of data, models, configurations, and automated decisions. Small weaknesses inside that lifecycle can quietly escalate into security, privacy, oper

Alisha Deana

AI in Cybersecurity10 Apr 2026

The Rise of Autonomous Cyber Attacks: When AI Becomes the Adversary

Artificial intelligence is reshaping cybersecurity at an unprecedented pace. While organisations adopt AI to strengthen defence, attackers are using the same technology to automate, accelerate, and scale their operations. Cyber attacks are no longer limited by human speed or manual effort. We are en

Trimikha Valentius

AI in Cybersecurity09 Apr 2026

Securing Enterprise Copilots: Preventing Prompt Injection and Data Exfiltration in LLMs

Organisations are rapidly adopting AI copilots powered by large language models (LLMs) to enhance productivity, decision-making, and workflow automation. However, with this convenience comes a new category of risk. Recent research published in 2026 highlights that LLM prompt injection vulnerabilitie

Trimikha Valentius