Headlines
  • Iran's Islamic Revolutionary Guard Corps navy issues a warning that the Strait of Hormuz is "closed," citing five tankers that have been hit since Friday.
  • Four drones were intercepted and destroyed over the provinces of Riyadh, Eastern, and Southern, according to the coalition led by Saudi Arabia.
  • The Saudi-led military coalition in Yemen claims to have intercepted three drones in the southern and Riyadh regions, two cruise missiles over the Red Sea, and a ballistic missile headed for the Saudi city of Yanbu. In the
  • Police and pritesters clashed during Saturday's large-scale protests across France over social injustice, exorbitant prices, and the condition of the educational system.
  • Just two days before the new sanctions and tariffs on Russia mandated by the law named for the late Senator Lindsey Graham were scheduled to go into effect, President Donald Trump signed an executive order on Friday waiving them.
  • On Saturday afternoon, a car drove through a soccer match in Wichita, Kansas, killing a child and an adult and injuring numerous others.

Tag: Cyber Criminals

October 16, 2026

Foundation Models

Strong artificial intelligence (AI) models that can be tailored to a variety of tasks are foundation models. They are trained on vast amounts of data.According to the experts, a general contextual understanding of patterns, structures, and representations is built into foundation models.

October 15, 2026

NDR and ITDR

One type of cybersecurity solution called network detection and response (NDR) helps defend network infrastructure from both known and unknown threats. To help organizations and businesses in identifying, isolating, and mitigating network-related risks, it makes use of machine learning (ML), active monitoring, behavioral analytics, and other integrated capabilities and technologies.

October 14, 2026

LLM Phishing

Large Language Models (LLMs) are used in LLM phishing to generate grammatically correct, highly convincing phishing and social engineering campaigns on a large scale.Fruadsters can generate customized lures in a matter of seconds, mimic professional writing styles, and scan public data by using sophisticated LLMs.

October 13, 2026

AI-Powered Mortgage Fraud

The use of generative AI tools to create identity documents, payslips, bank statements, and tax returns in order to qualify for rental properties or mortgage loans that the applicant would not otherwise be able to is known as AI-powered mortgage and rental fraud.

October 12, 2026

Buy Now Pay Later Fraud

Any fraudulent activity involving Buy Now Pay Later is referred to as Buy Now Pay Later Fraud (BNPL). In this fraud either fraudsters target payment systems or they take advantage of BNPL providers’ and merchants’ onboarding procedures.

October 9, 2026

Backpropagation

Gradient descent is used in the backpropagation (Backward Propagation of Errors) algorithm for supervised artificial neural network learning.Backpropagation is a process of analyzing errors, comparing them to the anticipated response, and re-running the model until it produces the desired outcome.

October 8, 2026

AI Fluency

The ability to work effectively and ethically with AI systems by comprehending their potential, constraints, and ramifications is known as “AI fluency.”AI fluency helps users in identifying when outputs require human review, verification, or correction, particularly in important sectors.

October 7, 2026

Payroll Fraud

When an employee uses the company’s payroll system to embezzle funds, this is known as payroll fraud.Payroll fraud can be committed by both employers and employees by paying fictitious or fired employees, issuing unapproved bonuses, or fabricating timesheets.

October 6, 2026

Synthetic Identity Fraud

Synthetic identity fraud is the method of fraudsters creating completely new identities by fusing false information with real data, as opposed to stealing a real person’s entire identity.

October 5, 2026

Fraud Signals

Data patterns or indicators that point to the possibility of fraudulent transactions or user behavior are known as fraud signals. Fraud detection systems gather and examine these signals in order to instantly recognize and stop malicious activity.

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