Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

OWASP API Top 10 Explained with Real-World Examples

It’s an API talking to the API world we’re living in. As per Postman, 500 million new APIs are expected to be created by 2025. APIs are a lifesaver when it comes to automation or integration. But when it comes to the security of these APIs, things can get a little tricky. OWASP API Top 10 gives insights on top vulnerabilities exploited in APIs.

How Brokers Harness Artificial Intelligence for Market Analysis

The integration of artificial intelligence (AI) in the finance sector has seen a dramatic surge over the past decade. Key technological advancements like increased computing power, improved algorithms, and the availability of big data have paved the way for AI to transform brokerage operations.

8 Steps to Get Value from Azure Identity Protection

Today’s digital landscape is full of ever-evolving cyber threats. Securing your organization’s identities has become very important. Azure Identity Protection is a strong ally. It empowers you to strengthen your defenses and protect your most valuable assets: your users’ identities. This strong security service gives you a single view of potential weaknesses. It also gives you the tools to stop risks and react fast to incidents.

CrowdStrike Falcon for Mobile Unlocks New Mobile Security Options for SMBs

Small and medium-sized businesses (SMBs) increasingly rely on mobile technology to drive efficiency and stay competitive. However, the use of mobile devices introduces security risks that SMBs must address. Recognizing this, CrowdStrike Falcon for Mobile now offers iOS unmanaged support, extending robust security to devices without the cost and complexities of traditional mobile device management (MDM). Let’s take a closer look.

Transparency and Ethics in AI: Ensuring Safety and Regulation

In this video, Erin Mann delves into the critical importance of transparency and ethics in the use of artificial intelligence (AI). As AI continues to evolve and integrate into various aspects of our lives, ensuring its ethical use and safety becomes paramount. Erin discusses how transparency in AI operations can drive the necessary conversations around regulation and efficient implementation. By understanding the ethical implications and advocating for clear guidelines, we can harness the power of AI responsibly and effectively.

Bring Your Own Key (BYOK) Explained: Gaining Control Over Cloud Encryption

Data safety has become a primary issue for business organizations of any scale as they move to cloud computing. With businesses using cloud services to save and run critical information, the development of confidence encryption and essential management techniques is paramount. Several security methods have become popular; bring your own key (BYOK) is among them.

What is Google Cloud HSM? How to Protect Data in Google Cloud?

Google Cloud HSM (Hardware Security Module) is a cloud service offered by Google that delivers secure key storage and cryptographic operations within a hardware environment that is set apart from any other instances. In contrast to HSMs, these hardware devices originated for the purpose of keeping cryptographic keys safe and executing cryptographic operations in a secure, tamper-resistant manner.

What is Azure code signing, and how can it improve security

Trust is fragile in software, especially in the fast-paced complexity of cloud environments. Code signing reinforces that trust by digitally proving your software’s authenticity and integrity. Breaches like the UnitedHealth Group incident remind us why this matters—compromised code has real-world consequences. The breach potentially exposed the sensitive health data of millions of Americans.

4 AI coding risks and how to address them

96% of developers use AI coding tools to generate code, detect bugs, and offer documentation or coding suggestions. Developers rely on tools like ChatGPT and GitHub Copilot so much that roughly 80% of them bypass security protocols to use them. That means that whether you discourage AI-generated code in your organization or not, developers will probably use it. And it comes with its fair share of risks. On one hand, AI-generated code helps developers save time.