Securing Her Digital Footprint: AI for Women's Safety

Introduction

AI-driven algorithms are used for fraud detection, stock trading, credit scoring, and risk management. They help financial institutions make more informed decisions. AI in E-commerce: Recommendation systems powered by AI provide personalized product recommendations to users, enhancing the shopping experience and increasing sales. AI-driven robotics and automation are improving efficiency and quality control in manufacturing processes. Predictive maintenance reduces downtime and saves costs. It is used for content creation, including generating music, art, and even screenplays. It's also employed for enhancing video game experiences. AI-powered drones and sensors help farmers optimize crop management, monitor soil conditions, and increase yields while conserving resources. AI is utilized in personalized learning platforms, intelligent tutoring systems, and educational chatbots to adapt learning experiences to individual needs (Naved et al., 2022). AI assists in managing and conserving natural resources, such as water and energy, by optimizing consumption and reducing waste. AI-driven tools facilitate remote work by automating repetitive tasks, enhancing collaboration, and improving virtual meeting experiences. AI models are used to analyse climate data, predict climate trends, and develop strategies for mitigating the effects of climate change. AI helps track and analyse disease outbreaks, predict healthcare resource needs, and optimize vaccine distribution, as demonstrated during the COVID-19 pandemic. The ethical use of AI and the regulations surrounding it are gaining importance. Governments and organizations are working on frameworks to ensure responsible AI development and deployment. AI-powered virtual assistants like Siri, Alexa, and Google Assistant are becoming integral parts of smart homes, controlling appliances and providing information (Aljasim et al., 2023). AI is used in spacecraft and rovers for autonomous navigation, data analysis, and decision-making in space missions. AI technologies are improving accessibility for people with disabilities through speech recognition, text-to-speech, and image recognition tools. AI is employed to detect and respond to cyber threats in real-time, identifying patterns indicative of potential breaches and providing proactive security measures. AI plays a pivotal role in enhancing cybersecurity by bolstering defence mechanisms, identifying threats, and responding to cyberattacks more effectively. AI-powered systems analyse vast datasets and network traffic in real-time to detect anomalies and potential threats. Machine learning algorithms recognize patterns indicative of cyberattacks, such as malware, phishing attempts, and insider threats. AI monitors user and system behaviour to detect deviations from normal activity, helping identify compromised accounts or insider threats. This proactive approach reduces response times to security incidents. AI-driven antivirus solutions and endpoint security tools use machine learning to identify and block new and evolving malware strains, even those with zero-day vulnerabilities. AI enhances network security by monitoring traffic for unusual patterns, detecting intrusions, and providing real-time alerts to security teams and it is used for biometric authentication, which relies on facial recognition, fingerprint scans, and voice recognition to verify user identities securely. AI-driven security information and event management (SIEM) systems analyse vast amounts of security data to identify potential threats and prioritize incidents for investigation. AI algorithms analyses email content and sender behaviour to detect phishing emails, helping users avoid falling victim to scams (Ghosh, 2018). AI tools scan and assess software and systems for vulnerabilities, helping organizations identify and patch security weaknesses before they are exploited. AI helps differentiate between human users and bots on websites and applications, protecting against automated attacks like credential stuffing and DDoS attacks.