Securis 360 | Cyber Security Services

  Artificial Intelligence is rapidly reshaping the cybersecurity landscape. While AI is helping organizations improve automation, threat detection, and operational efficiency, it is also empowering cybercriminals with faster and more sophisticated attack capabilities. The recent open letter issued by the UK Government highlights growing concerns around AI-driven cyber threats and emphasizes the urgent need for organizations to strengthen their cybersecurity posture with measurable and continuously validated security practices. This warning is not just relevant for UK businesses. It is a global signal that cybersecurity strategies must evolve to keep pace with AI-powered threats. Why the UK Government Issued the AI Cyber Threat Warning The UK Government’s open letter focused on the increasing risks associated with advanced AI systems and their potential misuse in cyberattacks. Government authorities and cybersecurity agencies warned that AI technologies are making attacks more ...

Businesses in 2026 are more connected than ever. From cloud platforms to logistics partners and SaaS tools, organizations depend heavily on third parties to operate efficiently. But this interconnected ecosystem comes with a cost: increased risk exposure . A single compromised vendor can disrupt operations, expose sensitive data, and damage your reputation. That’s why Third-Party Risk Management (TPRM) is no longer optional. It’s a core part of modern cybersecurity and compliance strategy. What Is Third-Party Risk Management? Third-Party Risk Management (TPRM) is the process of identifying, assessing, monitoring, and reducing risks associated with external vendors, suppliers, and service providers. It covers risks across: Cybersecurity Compliance Operations Finance Reputation The goal is simple: Ensure your partners don’t become your biggest vulnerability. What Is a Third Party? A third party is any external entity your organization works with, including: Ve...

  Many businesses still depend on old data stored in spreadsheets, outdated systems, or legacy databases. While this data may seem disorganized or outdated, it often contains valuable and sensitive information that cannot be ignored. For example, a sales team may have maintained customer data in spreadsheets for years. Over time, the data becomes inconsistent, incomplete, and difficult to manage. However, when the organization decides to migrate this data into a modern system, challenges around accuracy, security, and compliance arise. This is where legacy data management becomes critical, especially under the Digital Personal Data Protection Act, 2023 . In this blog, we break down seven practical steps to help you manage legacy data securely while staying compliant. What Is Legacy Data? Legacy data refers to information stored in older systems, formats, or technologies that are no longer actively maintained or are difficult to access. Even if it is not frequently used, thi...