Headlines
  • Sheik Mohammed bin Abdulrahman al-Thani, the prime minister of Qatar, will visit Tehran on Thursday and meet with several Iranian officials to discuss ways to de-escalate tensions.
  • According to a notice on a Treasury Department website, the US has imposed sanctions on the Palestine Action group and designated it as a Specially Designated Global Terrorist.
  • A huge flash flood in Nepal ravaged villages, killing at least 160 people and leaving hundreds more missing for.
  • At least one person was killed and over a dozen people were injured on Wednesday when a person crashed a car into a crowd in the northwest French city of Caen.
  • Wildfires that sweft through several Algerian provinces claimed the lives of twelve people..

Tag: AI Scam

August 13, 2026

Zero-Shot Learning (ZSL)

A machine learning technique termed as zero-shot learning (ZSL) trains AI models to recognize and categorize things or ideas without having previously encountered them. In general, a branch of machine learning termed Zero-Shot Learning (ZSL) enables models to identify and classify instances of classes they were not exposed to during training.

August 12, 2026

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).

August 11, 2026

Integrated Cloud Email Security (ICES)

A comprehensive strategy for protecting data and email correspondence in the cloud is called Integrated Cloud Email Security (ICES). It provides a strong defense by combining several security techniques.

August 10, 2026

AI Red Teaming

The practice of adversarial testing designed specifically for AI systems to find weaknesses, security holes, and safety concerns before attackers take advantage of them is known as “AI red teaming.”

August 7, 2026

AI Guardrails

Artificial intelligence (AI) guardrails are the safeguards that ensure AI systems operate responsibly, safely, and within defined boundaries.By eliminating AI hallucinations, enforcing data privacy and regulatory compliance, detecting bias and guaranteeing fairness in decision-making, and providing real-time visibility into model behavior and results, AI guardrails help enforce the responsible use of AI.

August 6, 2026

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.

August 3, 2026

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.

July 31, 2026

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.

July 30, 2026

Prompt Engineering

The instruction, query, or discussion topic users provide into a generative AI tool to receive a response is called a prompt. The ability to design and refine these inputs to direct the GenAI tool to produce precise, high-quality, and pertinent outcomes is known as prompt engineering.

July 28, 2026

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.

Top