One of the biggest indicators of a suspicious or unsecured website is whether or not the site is HTTPS-secured. In many cases, spoofed, phishing, malicious, or typosquatted websites use HTTP instead of HTTPS, which has encryption and verification protocols built in to ensure safe data transmission between servers and browsers. The main difference between HTTPS and HTTP is that HTTPS establishes a secure internet connection via encryption, whereas HTTP does not.
As digital transformation continues to blossom and cloud adoption increases, we continue to see challenges crop up when it comes to traditional DLP solutions. Setting aside the architectural and operational complexity and high cost that comes with traditional DLP, practitioners recognize that existing tools aren’t able to keep up.
In recent years, the world of artificial intelligence (AI) has seen a significant increase in the use of language models. ChatGPT, a language generation model developed by OpenAI, has been making waves in the news with its ability to process large amounts of data, which can be used to train machine learning models and to test them. One feature that’s grabbed headlines is its ability to write code and provide feedback on the accuracy and efficiency of code.
Every day, thousands of developers use the Snyk CLI as part of their development workflow, to identify and resolve security issues in their code as early as possible. What if these developers and other security professionals could harness the power of this dev-first approach and also utilize entirely new security analyses, filters, and workflows via an extensible approach?
Audits are challenging. Especially when it comes to assessing abstract compliance standards against multiple cloud environments, unique cloud infrastructure setups, and many possible (mis)configurations. To help our customers automate compliance assessments, Snyk Cloud now supports 10+ compliance standards— including CIS Benchmarks for AWS, Azure, and Google Cloud, SOC 2, PCI DSS, ISO 27001, HIPAA, and more.
The masked Aadhaar is a variant form of Aadhaar that the Unique Identification Authority of India (UIDAI) developed after taking into account the issue of data privacy for individuals. Read through to know more about what it is.