Headlines- The latest attack on Riyadh's King Khalid airport claimed 12 lives and injured 309, according to Saudi Arabia's Civil Aviation Authority.
- In a statement posted on social media, Saudi military spokesperson Turki Al-Maliki blamed the Iran-backed Houthis for Saturday's fatal attack on King Khalid International Airport in Riyadh.
- US president Donald Trump stated that he would "take a look" at joining Saudi Arabia in attacking the Houthis and resuming attacks on Iran.
- Four people died as Storm Isaias moves across the southern United States.
- A man was hospitalized after he was struck by a vehicle driven by an Immigration Customs and Enforcement agent who was allegedly pursuing him and another man on Saturday in Houston, Texas.
- More than a week after her botched execution in Tennessee, Christa Pike was discharged from the hospital and returned to prison.
Tag: AI Technologies
Agentic Loop
An agentic loop is an iterative cycle of execution in which an AI agent receives tasks or objective, prepares or determines the next course of action, carries it out, evaluates the results, determines if the task is finished, and either terminate.
Trustworthy AI
Artificial intelligence systems that are understandable, equitable, interpretable, resilient, transparent, safe, and secure are referred to as trustworthy AI. These qualities provide stakeholders and end users faith and confidence in AI systems.
AI Chatbot
Artificial intelligence that can simulate human-user conversation through text or voice is called a chatbot.Without having users to navigate menus or search web pages, it use conversational interfaces to respond inquiries, offer information, and help users in completing tasks.
Data Security Posture Management (DSPM)
A comprehensive approach for preventing unwanted access, disclosure, alteration, or destruction of an organization’s sensitive data is Data security posture management (DSPM).
AI Anomaly Detection
Finding data patterns using AI that deviate from expected normal behavior is known as AI anomaly detection, or AD.These irregularities may indicate fraud, technological issues, or unusual shifts in user behavior.
Anomaly Detection
The process for identifying data points in a dataset or system that deviate from the norm is known as anomaly detection.Anomaly detection systems can swiftly detect anomalous patterns or points that may indicate a potential threat or an ongoing cyberattack by using machine learning (ML) and artificial intelligence (AI) to identify deviations from normal behavior and events within a network or system.
AI Hallucination
When a model generates inaccurate, incorrect, or misleading outputs that are not supported by the input or training data, this is known as an AI hallucination. This usually occurs when the model identifies patterns improperly, producing unreliable or bias results.
AI-Powered DDoS Attacks and Prevention
AI-powered DDoS attacks are strategic, adaptive, and dynamic.Cyber attackers can use AI to analyze massive data sets in real time and find vulnerabilities across user devices at machine speed.Misconfigurations, under protected endpoints, and overlooked services can all be found by using AI.
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 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.