Headlines- The IRGC launched ballistic missiles at two US warships "patrolling regional waters," according to US Central Command, which then launched an attack on Iranian oil vessels.
- The US attacks on three oil tankers were denounced by Iran's Foreign Ministry as a "war crime," and the Iranian military threatened to launch further strikes on US naval vessels if the blockade persisted.
- On Saturday evening, Russian President Vladimir Putin met with US envoys Jared Kushner and Steve Witkoff in Moscow.
- As part of an anti-immigrant protest, hundreds of masked people halted ferry traffic between France and the UK on Saturday at the port of Dover, England.
- Ten days after the catastrophic floods near the border between Nepal and Tibet, a man and a woman found alive, according to officials.
Tag: AI Cyber Security
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.
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 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.
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 Email Security Platforms
Businesses and organizations can use AI to combat advanced phishing, ransomware, and business email compromise (BEC) operations which are much more effective then traditional defences.
The Importance of AI Powered Cyber...
AI in cybersecurity provides large-scale data analysis, automated response, and real-time threat identification to reduce risks more quickly than with conventional methods.
AI Powered DDoS Attacks
Artificial intelligence-powered distributed denial of service attacks are known as AI powered Denial of Service (DDoS). DDoS attacks that are more accurate, flexible, and readily accessible by using automation and machine learning.
Internet of Things (IoT)
The Internet of Things (IoT) is a network of physical devices that have sensors, software, and communication technologies incorporated in them.