TechCorp is a leading player in the IT industry, providing a range of software solutions and digital services to clients worldwide, recognized the need to bolster its cybersecurity defences and comply with the provisions

CS Professional · Artificial Intelligence, Data Analytics and Cyber Security - Laws and Practice · PYQS · June 2024
TechCorp is a leading player in the IT industry, providing a range of software solutions and digital services to clients worldwide, recognized the need to bolster its cybersecurity defences and comply with the provisions of the IT Act 2000. Facing challenges posed by manual audit procedures and the dynamic nature of cyber threats, TechCorp partnered with a prominent AI solutions provider specializing in cybersecurity. Together, they deployed an AI-driven security audit platform tailored to the organization's infrastructure and regulatory requirements. The platform utilized machine learning algorithms to analyse network traffic, identify anomalous behavior, and detect potential security breaches in real-time. Additionally, NLP capabilities enabled the platform to interpret regulatory texts, extract relevant compliance mandates from the IT Act 2000, and align audit findings with legal requirements. TechCorp encounters several challenges in ensuring compliance with relevant cybersecurity regulations. The cybersecurity legal framework is intricate, with multiple regulations and standards to adhere to, including industry-specific guidelines and international norms. The company must adapt its cybersecurity practices to mitigate emerging cyber threats, such as ransomware attacks, data breaches, and insider threats. Allocating sufficient resources, including budget, personnel, and technology, poses a challenge for TechCorp to implement robust cyber security measures effectively. To address these challenges and enhance cyber security compliance, TechCorp conducting a risk assessment thorough assessment of cyber security risks and vulnerabilities across the organization's digital infrastructure, including networks, systems, and applications. Engaging legal experts to conduct a comprehensive review of cyber security-related laws, regulations, and industry standards applicable to TechCorp's operations, identifying gaps and areas for improvement. TechCorp uses AI-powered audit platform, which can detect the threat automatically by continuously monitored network activities and system logs to identify suspicious patterns indicative of cyber threats, such as malware infections, unauthorized access attempts, and data exfiltration. Through semantic analysis and regulatory mapping algorithms, the platform correlated audit findings with specific provisions of the IT Act 2000, facilitating regulatory compliance assessments and audit reporting. Deploying robust security controls and technologies, such as multi-factor authentication, and intrusion detection systems, to fortify the company's cyber defences and mitigate potential threats 'TechCorp organizing cyber security training sessions and awareness campaigns to educate employees about best practices, security protocols, and their roles in safeguarding sensitive information. By proactively addressing cyber security challenges and enhancing compliance efforts. TechCorp achieves the strengthened cyber security posture enables the company to better withstand cyber threats and minimize the impact of potential security incidents. Demonstrating a commitment to cyber security compliance fosters trust among customers, partners, and stakeholders, enhancing the company's reputation and competitive advantage in the market. In an increasingly digitized and interconnected business environment, cyber security compliance is imperative for organizations to safeguard their assets, protect customer data, and mitigate risks effectively. By embracing a proactive approach to cyber security assessment and compliance, TechCorp demonstrates its commitment to maintaining the highest standards of security and resilience in the face of evolving cyber threats and regulatory requirements. In the above case scenario, answer the following questions: The use of Artificial Intelligence is increasing in the field of cyber security day by day. Give any five benefits of Artificial Intelligence in cyber security.

Answer & Explanation:

Benefits of Artificial Intelligence (AI) in Cyber Security: Threat Assessment: Threats are identified using conventional security techniques like signatures, this method may work well for risks that have already been encountered, but it is ineffective for hazards that haven't yet been discovered. Around ninety per cent of attacks may be distinguished using signature technique. AI can boost recognition percentages up to ninety-five, but one will experience a huge data of "false-positives" if someone replaces traditional techniques with it. The optimal method integrates traditional methods with AI. It could increase the location rate up to hundred per cent and reduce false positives. By combining some behavior assessment techniques, institutions can additionally employ AI to enhance the risk-chasing approach. Improvements in Threat Detection: Significantly better detection systems rates could well be obtained by combining conventional security mechanisms (i.e. utilizing the database of all recorded security concerns till date) and employing automation to identify new risks. Detecting Frauds: Fraudulent purchases and actions may be recognized and stopped in a timely manner by seeing patterns and identifying breaches from the expected baseline behavior. "Anomaly detection" is one of the most well-known uses of machine learning since it is a commonly used technique. Detecting Malwares: In most cases, hackers deliberately design malwares, which once made, automates the creation of successive version that evade detection. Machine learning techniques are used to improve traditional signature-based malware identification algorithms in order to identify and stop the transmission of certain possible malware copies and variations. Protection of Passwords: Passwords have long been one of the privacy concerns of organizations. In fact, passwords are usually the primary connection involving our identities and the conduct of online fraudsters. Although biometric authentication has been considered a viable answer, it's not currently the easiest practical answer to apply in this case. With the use of AI, it might change over a period of time. Developers are implementing AI to strengthen authentication process and get rid of any flaws. A good illustration of this is Apple's face identification software. This technique, called 'Face ID', uses infrared sensors that detect a user's facial characteristics. The Apple AI algorithm then develops a complex representation of the user's face to aid in the identification of significant resemblance. Secure Network Automation: The creation of security policies and organizational network structure are two fundamental elements of cybersecurity. Admittedly, these demand a great deal of effort and attention from people to attain and manage.

Topics: Artificial Intelligence

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