CyberForSec Pte Ltd

29/01/2025

This comes after technology stocks tied to AI lost almost US$1 trillion in market value on Jan 28. Read more at straitstimes.com.

02/09/2024

“Active Listening” Is this even ethical?

One of Facebook's alleged marketing partners explained how it listens to users' smartphone microphones and advertises to them accordingly.

20/07/2024

What’s the 2 words Behind the Crowdstrike-Microsoft Global Outage? Complacency and Snobbishness?

07/04/2024

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Global Cyber Threats Maps Live Now.

Keep Calm & Carry On Because We’re With You

Secure Your Area With Us!

23/02/2024

The 2 data breaches took place in 2022.

Both data breaches took place in 2022. Read more at straitstimes.com.

13/02/2024

🚨 A new backdoor called RustDoor is targeting systems. This Rust-based , linked to families, steals sensitive data and locks users out of their devices.

A new backdoor called RustDoor is targeting macOS systems. This Rust-based malware, linked to ransomware families, steals sensitive data.

19/01/2024

Google updates the incognito mode disclaimer in Chrome to explain that it'll still track you!

The clarified text in new incognito mode browsers confirmed what we all thought.

30/11/2023

Cybersecurity is one of the most critical and challenging domains in the digital era. As cyber threats become more sophisticated and frequent, traditional security solutions are no longer enough to protect organizations and individuals from data breaches, ransomware, phishing, and other attacks. That’s why many security experts and vendors are turning to artificial intelligence (AI) to enhance their cybersecurity capabilities and resilience. Find out How AI is transforming cybersecurity in 2023 at

why many security experts and vendors are turning to artificial intelligence (AI) to enhance their cybersecurity capabilities and resilience

30/11/2023

Top 5 Legal and Ethical Challenges in AI for Cyber Security. Navigating the integration of AI into the realm of cybersecurity presents various legal and ethical challenges. Here are five prominent ones:

Navigating the integration of AI into the realm of cybersecurity presents various legal and ethical challenges

30/11/2023

Adversarial Machine Learning (AML) refers to the study and development of techniques in machine learning (ML) that focus on understanding and mitigating vulnerabilities and adversarial attacks on ML models. In traditional machine learning, models are trained and tested on assumed datasets, and the assumption is that the data used for testing and training comes from the same distribution. Adversarial Machine Learning explores scenarios where an adversary actively manipulates the input data to deceive the model's predictions.

Read more at

Adversarial Machine Learning refers to the study and development of techniques in machine learning that focus on understanding and mitigating vulnerabilities and adversarial attacks on ML models.

29/11/2023

Revolutionizing Cybersecurity: AI-Powered Threat Detection and Response. In an era where cyber threats are becoming increasingly sophisticated, the integration of artificial intelligence (AI) has emerged as a game-changer in fortifying cybersecurity defenses. Let's explore the pivotal role that AI plays in threat detection, analysis, and response, revolutionizing the way organizations safeguard their digital landscapes:

1. Detecting Threats at the Speed of AI

2. The Machine Learning Advantage

3. Unleashing the Power of Data Analysis

4. Responding to Threats in Real-Time

5. Looking Ahead: A Future Secured by AI

Revolutionizing Cybersecurity: AI-Powered Threat Detection and Response