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  Many businesses still depend on old data stored in spreadsheets, outdated systems, or legacy databases. While this data may seem disorganized or outdated, it often contains valuable and sensitive information that cannot be ignored.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...

AI isn’t replacing cybersecurity professionals . But it is changing what the job looks like. If you’re in security today, or planning to enter the field, the real question is not: “Will AI replace me?” It’s: “Am I ready to work with AI?” Because that’s where the industry is heading. Let’s break this down in a practical way. What does “AI-ready” actually mean? Being AI-ready doesn’t mean becoming a data scientist. It means: Knowing how to use AI tools effectively Understanding their limitations Combining human judgment with automation In simple terms: You don’t compete with AI. You work with it . Step 1: Build strong security fundamentals first Before AI, before tools, before automation, you need a solid base. Focus on: Networking basics Operating systems (Linux, Windows) Web security (OWASP Top 10) Identity & access management Cloud fundamentals (AWS, Azure, GCP) AI will not fix weak fundamentals. In fact, without basics, AI can mislead you....

Healthcare data is among the most sensitive types of information any organization handles. From patient records and diagnostic reports to financial and biometric data, protecting this information is critical not just for compliance, but for trust. Globally, frameworks like HIPAA have set strong standards for healthcare data protection. In India, the proposed DISHA (Digital Information Security in Healthcare Act) aims to bring similar structure and governance to digital health data. While DISHA is not yet fully implemented, it closely mirrors many principles of HIPAA. Let’s break down both frameworks in detail and understand how they compare. What is DISHA? The Digital Information Security in Healthcare Act (DISHA) is a proposed Indian law designed to regulate the handling of digital health data. Its core objectives include: Establishing National and State eHealth Authorities Creating Health Information Exchanges (HIEs) Standardizing how health data is collected, stored, and shared ...