Headlines- At least 600 people killed and another 3000 went missing on Wednesday after landslides caused by a glacial collapse unleashed a torrent of mud and water across Nepal and China's autonomous region of Tibet.
- On Saturday, Palestinians in the occupied West Bank were attacked by masked Israeli settlers who trapped them in their homes and pelted rocks at them.
- On Saturday, Israeli Prime Minister Benjamin Netanyahu condemned the "criminal acts of violence" that Israeli settlers perpetrated in two Palestinian villages.
- In central Zimbabwe, a minibus carrying churchgoers crashed head-on with a truck, killing at least 27 people and injuring seven more.
- After being held by Immigration and Customs Enforcement, far-right British political commentator Milo Yiannopoulos was deported to the United Kingdom.
- The "Yes" and "No" camps in Iceland's EU referendum are tied at 51.17% and 48.83%, respectively.
Tag: AI systems
AI Worm
An AI worm is a type of malware that propagates on its own and uses artificial intelligence to enhance its capabilities to evade detection.AI worms are capable of identifying vulnerabilities in systems, evading detection mechanisms, and carrying out highly targeted attacks.
AI Powered Threat Detection
AI threat detection uses automation, behavioral analytics, and machine learning to instantly detect cyber threats.The use of AI technologies, including as machine learning models, large language models (LLMs), and natural language processing (NLP), to augment and expedite up threat identification, investigation, and mitigation in real time is known as AI-driven threat detection and response.
Agentic AI Tools
Agentic AI is an artificial intelligence system that uses machine learning models called AI agents to solve issues in real time by simulating human decision-making.Powered by advanced foundation models and multimodal generative AI, these autonomous AI systems combine thinking, memory, and decision-making.
AI Powered Zero- Day Threats Detection
Zero-day attacks exploit unknown vulnerabilities in firmware, hardware, or software before developers have a chance to build a fix.In order to identify and prevent zero-day attacks before they have a chance to do serious harm, artificial intelligence (AI) offers a proactive and flexible method.
AI Powered Intrusion Detection Systems (AI-IDS)
By using machine learning, deep learning, and anomaly detection techniques, AI powered intrusion detection systems (AI-IDS) enhance cloud security. With little assistance from humans, AI-IDS can identify intricate attack patterns, carry out real-time threat assessments, and independently adapt to emerging cyber threats.
AI-Powered Web Application Firewalls (WAFs) Security...
Web applications are protected from cyberattacks by AI-powered web application firewalls (WAFs) security solution.AI-WAF analyzes incoming web traffic, detects potential threats, and takes proactive steps to prevent them using cutting-edge machine learning algorithms and AI techniques.
AI Powered Zero-Day Attacks Detection and...
Zero-day attacks take use of unknown vulnerabilities in firmware, hardware, or software before developers have a chance to fix them.
AI Powered Anti Phising Detection
Phishing scams powered by AI are getting more sophisticated, faster, and more challenging to detect than in the past. With the objective of tricking users into disclosing vital information, cybercriminals are already using AI tools to generate convincing emails, clone websites, imitate human behavior, and even create realistic voices.
Global AI Regulations
The legal frameworks and regulations established to oversee the advancement and application of artificial intelligence technology are known as AI regulations.
AI Powered Malware Detection
Malware that is created, altered, controlled, or enhanced with AI is referred to as AI-powered malware. The AI layer could be used to develop code, choose targets, change behavior, avoid detection, or automate chores for attackers.