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- Glossary
Netenrich
Glossary
Patch
A patch is a piece of software that a company releases to fix any errors in the original software. The name pretty much describes what it does, as it covers up the flaws and prevents it from getting exploited by hackers. It is generally considered best practice to stay up-to-date on all your patches and fixes.... More
Penetration testing
Penetration testing is also known as pen testing is a simulated cyberattack against your own computing system. This testing approach is specially designed to help enterprises identify exploitable vulnerabilities before the attackers do. Usually, penetration testing is done to help augment WAF (web application firewall).... More
Phishing
Phishing allows an attacker to obtain sensitive information such as usernames, passwords, and credit card details. They do so by posing as a non-threatening entity and communicating via email or text messages. Phishing has become smarter now than ever before. When it comes to this new wave of phishing attacks, the following two methods are on the rise - clone... More
POC/POV
A proof of concept showcases the feasibility and viability of a concept or technology during the development lifecycle. It demonstrates that the idea can work in practice. Essentially, a proof of concept is a prototype that tests the core functionality and viability of an idea in a controlled environment before investing significant time, effort, and resources into its full-scale implementation.... More
Predictive incident management
Companies are generating vast amounts of data associated with business operations. But they are also facing a complicated and ever-expanding array of operational risks to identify and mitigate risks in their environment proactively. This makes incident management a challenge for smooth business operations. Predictive intelligence become useful for total predictive incident management. Predictive incident management analyzes large data sets to... More
Predictive insights
Predictive insights are an important component of AIOps. It uses organizational data and analytics to glean insights on device behaviors, patterns, data flows, and trends, to predict situations or incidents. Predictive insights help businesses solve complex problems and rely on data-driven decisions for better risk management.... More