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
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).
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.
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.”
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.
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.
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.
AI TRiSM
AI TRiSM (Artificial Intelligence trust, risk and security management) is a framework that uses technical controls that uphold policies to manage the trust, risk, and security of AI systems.AI TRiSM helps organizations and businesses in managing security, risk, and trust in AI technologies.
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.