Organizations can establish a strong security foundation by implementing a comprehensive cloud security strategy

Focusing on vulnerability management, TAC Security is helping organizations secure their digital assets and protect them against cyber threats. The foundation of the company lies in threat assessment, where potential risks and vulnerabilities are systematically identified and evaluated. TAC security aims at identifying, analyzing, and neutralizing potential threats to an organization's digital infrastructure. It goes beyond traditional security measures by adopting a proactive approach that anticipates and adapts to evolving threats in real-time. In a chat with VARINDIA, Trishneet Arora, Founder and CEO, TAC Security delves deep in the current cyber security landscape in India,
 

Safeguarding data on a global scale 

To safeguard data globally, several measures should be taken. As per Trishneet, implementing strong encryption techniques is needed to protect data at rest and in transit. “Data minimization principles should be adopted, collecting and retaining only necessary data with clear retention policies. Secure storage solutions like encrypted databases and secure cloud storage should be utilized.

Employee training is crucial to promote cybersecurity best practices and raise awareness about data protection. Developing and testing an incident response plan is essential to effectively handle data breaches or security incidents. Third-party risk management is important, evaluating and managing the cybersecurity posture of vendors and partners.
Having a single view of the complete IT infrastructure is imperative. This enables the discovery, management, and mitigation of vulnerabilities on a single platform, providing a comprehensive understanding of the cybersecurity levels,” elaborates Trishneet.

Impact of AI and ML on detecting and preventing cyber threats

AI and ML play a crucial role in cybersecurity by enhancing threat detection, automating incident response, detecting phishing and fraud, and improving vulnerability management. AI and ML algorithms excel at analyzing large volumes of data, identifying patterns, and detecting both known and unknown threats. They continuously learn from historical data, enabling early detection of cyber threats that may go unnoticed by traditional systems.

Trishneet says, “By reducing false positives, AI and ML models refine threat detection accuracy, allowing cybersecurity teams to focus on genuine threats and saving resources. Automated incident response powered by AI and ML technologies enables faster response times by prioritizing and triaging security alerts based on risk and context. This swift response aids in containing and mitigating threats.

AI and ML techniques enhance malware detection by analyzing file attributes, code behavior, and network patterns. They learn from vast malware datasets to identify and distinguish between benign and malicious files, including new and evolving malware variants. Proactive threat hunting is facilitated by AI and ML, which uncover hidden patterns and potential indicators of compromise within large datasets, helping analysts identify sophisticated attack techniques and low-profile threats.

Real-time behavioral analysis conducted by ML algorithms allows continuous monitoring of user behavior, network traffic, and system logs. By establishing behavioral baselines, anomalies indicating insider threats, compromised accounts, or unauthorized access attempts can be detected, enabling proactive threat prevention.”

IoT: posing challenges to cybersecurity

IoT (Internet of Things) brings unique cybersecurity challenges that require effective mitigation strategies. Trishneet sketches the following challenges and corresponding measures which can help organizations address these risks:

Inadequate Security Measures: Many IoT devices prioritize functionality over robust security, resulting in weak passwords, unencrypted communications, and lack of updates. To mitigate this, organizations should select devices from reputable manufacturers committed to security, enforce regular firmware updates, and implement strong authentication and encryption protocols.

Lack of Standardization: The absence of uniform protocols and security standards across IoT devices complicates security efforts. Organizations should advocate for industry-wide security standards and best practices.

Large Attack Surface: Interconnected IoT devices expand the attack surface, making networks vulnerable to breaches. Implementing network segmentation isolates IoT devices, limiting the impact of a compromised device. Strong access controls, firewalls, and intrusion detection systems help monitor and control IoT device traffic.

Data Privacy and Consent: IoT devices collect vast amounts of sensitive data, necessitating privacy and consent considerations. Organizations should adopt privacy-by-design principles, implement data encryption, consent mechanisms, and anonymization techniques.

Lifecycle Management: Long life cycles of IoT devices present challenges as manufacturers may stop providing security updates. Organizations should establish effective lifecycle management processes, monitor end-of-life devices, and phase them out or implement compensating security measures.

Supply Chain Risks: The complex IoT supply chain introduces risks such as tampering and insecure components. Strong vendor management, rigorous testing and verification procedures, and transparency throughout the supply chain help mitigate these risks.

To conclude 
In his concluding words Trishneet says, “Cloud security is vital for protecting data, applications, and infrastructure in cloud environments. Key considerations include data encryption, robust identity and access management, security governance and compliance, evaluating cloud providers, security monitoring and incident response, data backup and disaster recovery, employee training, continuous security assessments, leveraging specialized cloud security providers, and staying updated with the cloud security landscape. These measures help organizations safeguard sensitive information, maintain data integrity, and mitigate the risk of unauthorized access or data breaches. By implementing a comprehensive cloud security strategy, organizations can establish a strong security foundation and effectively mitigate the risks associated with cloud computing.”