Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

A CISO's Checklist For Securing APIs And Applications

Building a robust API and application security program is a key objective for security leaders in any market. But developing and maintaining an effective security program for your APIs and web applications requires: ‍- A deep understanding of the right approach to implementing API and application security.

A CISO's View on the State of API Security: Discussing the API ThreatStats Report, Q2 2024

API exploits represent one of the fastest growing threat vectors–a trend that will continue to accelerate as the increasingly AI-driven digital economy grows. Join veteran CISO and application security expert Mike Wilkes and Wallarm’s VP of Product, Tim Erlin, as they discuss the state of API security and where it is heading. Drawing upon their extensive industry experience as well as insights drawn from the Wallarm API ThreatStats Report Q2, 2024.

Protect Sensitive Data with Key Privacy Enhancing Techniques

In today’s digital world, protecting sensitive data is more critical than ever. Organizations handle vast amounts оf information daily, much оf which includes sensitive data like Personally Identifiable Information (PII), financial details, and confidential business records. The exposure of this data can lead to severe consequences, including identity theft, financial loss, and reputational damage.

What is PII Masking and How Can You Keep Customer Data Confidential

Personally Identifiable Information (PII) refers to any data that can identify an individual. In today’s digital world, protecting PII is crucial. As data breaches become more common, businesses must protect their sensitive information. PII masking plays a vital role in data security. It involves altering or hiding specific data elements to prevent unauthorized access. This practice is essential for companies that handle large volumes of customer data.

It's Time to Press Play on the AI Pause: Data Security Insights for a New Era

This past summer was the first time I watched the Olympics since moving to the U.S. Besides appreciating the sheer greatness of the American Olympic spirit, there was also another thing that could not go missed - AI! Filling up every commercial slot seemed to be AI. And mainly, the commercials focused on harnessing AI for business productivity and operations. No matter your take on the greatest Olympic moment or greatest AI commercial, one could not overlook this overwhelming trend.

Cloudy with a chance of breach: advanced threat hunting strategies for a hyperconnected and SaaSy world

When workloads moved to the cloud, a huge burden was lifted from the enterprise in infrastructure and operational overhead. This transition also brought with it the “shared responsibility” model, where cloud providers took on much of the responsibility previously relegated to expensive engineering teams.

How Cloud Computing Enhances Cybersecurity Strategies

Cloud computing for the purpose of cybersecurity can be more useful than ever. Many businesses around the world are becoming more reliant on the technology for the purpose of scalability and cost-effectiveness when it comes to data storage. Yet, using it for cybersecurity purposes might give them a better chance to protect even the most sensitive data that must be protected in the first place. This guide will take a look at what cloud computing and cybersecurity can provide when they work together. Let's discuss everything you need to know right now.

Prompt Sanitization: 5 Steps for Protecting Data Privacy in AI Apps

As Generative AI (GenAI) and Large Language Models (LLMs) become integral to modern apps, we face a critical challenge of protecting sensitive user data from inadvertent exposure. In this article, we’ll explore the importance of content filtering in LLM-powered apps, and provide strategies for its implementation. Looking for step-by-step tutorials on prompt sanitization for OpenAI, Langchain, Anthropic, and more? Skip down to the “Tutorials & further learning” section below.

Employee Cybersecurity Awareness Training Strategies for AI-Enhanced Attacks

With the adoption of AI in almost every sphere of our lives and its unending advancement, cyberattacks are rapidly increasing. Threat actors with malicious intent use AI tools to create phishing emails and other AI-generated content to bypass traditional security measures. On the bright side, the security capabilities of AI are limitless. AI-enhanced attacks refer to cybersecurity events that use artificial intelligence to compromise individuals' and organizations' safety.