Headlines
Adversarial AI refers to techniques that actively undermine the dependability and credibility of AI-driven systems by manipulating machine learning (ML) models by taking advantage of their inherent flaws, frequently to change predictions or outputs covertly.
The impact of artificial intelligence (AI) technologies on cybersecurity is growing in importance and complexity. AI powered cyberattacks are more complex and adaptable.
AI in cybersecurity is the application of artificial intelligence and machine learning to automate security operations. This technology helps to respond to threats more effectively by automating tasks and orchestrating actions across various security tools.
AI financial scams are made to appear slick, sound convincing, and they even have your favorite celebrity launching them to make them appear reliable but their real purpose is to trick, manipulate, and steal your money.
According to Indian law, two adults having consensual online sexual conversations is not a crime.But sending sexually explicit images or videos without consent is a crime.
Cybersecurity has become important in the digital economy to protect data against theft, manipulation, and unwanted access.
Reviewing, screening, and managing user-generated information on social media platforms is known as social media content moderation.
An AI-powered email attack toolkit called SpamGPT increases the potency of phishing attacks.This toolkit allows cyber criminals to hijack email servers, bypass spam filters, and conduct mass phishing attacks easily.
AI tools can help users in detecting and preventing a cyber attack more quickly and efficiently than with conventional techniques by utilizing automation, deep learning, and machine learning.
AI is being used by cybercriminals as a tool for voice spoofing, phishing, deepfakes, OTP bypasses, and AI powered hacking.