Auto Code Review: Guide to faster & effective code reviews

Automated code review tools are critical to standardize and scale an organization’s software development efforts. They are complementary to manual code reviews. Since automated code reviews take care of the more typical software mistakes, human reviewers can focus on higher level code issues. Automated code reviews make the source code more efficient while also speeding up the review process.

What is automated code review?

Automated code review is the process of automatically reviewing a source code using a predefined set of rules to identify inefficient or suboptiomal code. Read more

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Code Review in 2020: Best Practices & Latest Advances

Code reviewed by a second developer tends to be more effective, secure and lead to less technical debt. No matter how successful and experienced code developers, a code review can improve code quality by identifying otherwise hard-to-notice suboptimal code.

What is a code review?

Code review is a part of quality assurance (QA). It is a systematic review of a program’s source code to assure its technical content and quality. Common vulnerabilities such as race conditions, memory leaks and buffer overflows can be found by the code review process which leads reviewers to improve software quality. Read more

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AI Security in 2020: Defend against AI-powered cyberattacks

Businesses can implement AI-powered security solutions into their systems to protect against online & offline security issues. Though AI is an effective solution to protect organizations from cyberattacks, it also enables attackers to launch complex, automated attacks.

Another aspect of AI security is the security of machine learning systems powering decision making of companies and autonomous systems. It has been proven that simple changes in inputs can cause these systems to fail, enabling attackers another attack surface. Therefore, companies need to consider security when implementing AI solutions. Read more

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Managed Security Services (MSS): Comprehensive Guide

Data security has developed significantly for the last few years. Businesses now need to implement security services to prevent themselves from cybersecurity attacks, leakages, and frauds.

As an example, Marriott has suffered a massive data breach that affected up to 500 million customers in 2018. The breach included payment information, mailing addresses, phone numbers, and passport numbers. The further investigation discovered that a disguised Remote Access Trojan (RAT) allowed hackers to gain control over the IT system. Read more

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Security Analytics in Age of AI: In-depth Guide [2020 update]

Every day 2.5 quintillion bytes of data are produced. Some of it is important (and private), like the most essential of financial and medical records. Some of it, like the cleaning path taken by an IoT vacuum is largely useless (or is it?). And all of it can become vulnerable without the right security effort.

Subsequently, there is a growing need for us to find new and better ways to protect our most sensitive data from a host of digital threats rise. Cybersecurity analytics can ultimately help to lay the foundation for large scale data protection.  Some questions that this post sets out to answer include:

What is cybersecurity analytics?

What are the benefits of cybersecurity analytics?

What are some common cybersecurity use cases?

How do AI and cybersecurity analytics go together?

What are some best practices for cybersecurity analytics?

What are some pitfalls/challenges in cybersecurity analytics?

What are tools to aid in effective cybersecurity analytics?

How can I start to establish a cybersecurity analytics program in my organization?

What is Cybersecurity Analytics?

Every day millions of cyber attacks are successfully executed around the world. Though it may be impossible to 100% prevent them all, we can certainly learn from them to help develop better ways to stay protected. Cybersecurity analytics studies the digital trail left behind by cyber criminals to help better understand weaknesses and how to prevent similar losses in the future.

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