Cybersecurity is the practice of protecting computers, servers, mobile devices, networks, and data from unauthorized access and malicious attacks. In an era where “data is king,” any organization handling personal or sensitive information must adopt robust security measures comparable to financial institutions.
AI and machine learning are powering automated threat detection, natural language analysis, and incident response. Attackers, however, are also employing “data poisoning” to corrupt AI models, creating a dual-use challenge.
With mobile banking and remote work on the rise, hackers target smartphones and tablets through malware, phishing, and unsecured public Wi-Fi. The rollout of 5G further expands the threat landscape.
Rapid migration to cloud services introduces vulnerabilities such as unauthorized access and account hijacking. Organizations must enforce strong identity management and continuous monitoring.
Billions of IoT devices—from wearables to industrial sensors—lack robust security controls, making them prime targets for botnets, DDoS attacks, and unauthorized network access.
Ransomware-as-a-Service and sophisticated affiliate models drive larger payouts in cryptocurrency. Immutable backups, network segmentation, and threat intelligence sharing are vital defenses.
Attackers leverage psychological tactics via email, SMS (smishing), and voice calls (vishing). Regular security awareness training and simulated phishing exercises help mitigate human-targeted attacks.
New frameworks—India’s DPDP Act, EU’s GDPR updates, and US state laws (CCPA/CPRA)—demand stringent breach notification, data minimization, and accountability measures.
While MFA remains a gold standard, SMS-based methods are vulnerable to interception. App-based authenticators and hardware tokens are gaining traction in high-security environments.
Distributed workforces require Zero Trust architectures, VPN alternatives, endpoint detection (EDR/XDR), and continuous monitoring to secure home offices and mobile users.
Human error and malicious insiders account for a significant share of breaches. Behavioral analytics, privileged access management (PAM), and clear usage policies help detect and deter insider risks.
Data poisoning refers to malicious actors injecting corrupted or fake data into the training datasets of AI/ML models, causing them to behave erratically or reduce detection accuracy.
Enforce device encryption, deploy mobile device management (MDM) solutions, require VPN use on public networks, and implement strong authentication for all corporate apps.
Use strong identity and access management (IAM), enable multi-factor authentication, perform regular configuration audits with CSPM tools, and encrypt data at rest and in transit.
Segment IoT/OT networks from corporate systems, enforce secure firmware updates, disable unused services, and monitor device behaviour with specialized security analytics.
Maintain immutable, offline backups; patch critical vulnerabilities promptly; restrict user privileges; and train staff on phishing awareness to block initial infection vectors.
Zero Trust eliminates implicit trust by continuously verifying every user and device, enforcing least-privilege access and micro-segmentation across all network segments.
MFA adds an extra layer of security beyond passwords. App- or token-based factors prevent attackers from bypassing SMS-based codes via SIM-swap or interception.
Key laws include India’s DPDP Act, EU’s GDPR, the US CCPA/CPRA, and various financial data mandates (e.g., GLBA, HIPAA). Organisations must adhere to breach notification and data protection requirements.
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