Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

API Security Essentials: What You Must Know About Positive and Negative Models #apisecurity #api

In this video, we dive into the fundamentals of API security by comparing two key security models: Positive and Negative. Learn how each model works, their pros and cons, and how to choose the right one to protect your APIs effectively.

Massive AI Call Center Data Breach: 10 million Conversations Leaked, Heightening Fraud Risks

In a significant breach, over 10 million customer conversations from an AI-powered call center platform in the Middle East have been exposed. This incident has raised alarm bells regarding the security vulnerabilities of AI platforms widely used in sectors such as fintech and e-commerce. As AI platforms become integral to business operations, the risks of compromised data tracking and brand impersonation have also escalated.

GitProtect 1.8.5 release brings a big launch - Azure DevOps Backup and DR

We are so proud to announce that GitProtect Backup and Disaster Recovery for Azure DevOps is here! The 1.8.5 release also brings a few improvements – performance, UX, and more – and small fixes. Let’s dig into more details.

5 Things to Look Out for with AI Code Review

Imagine slashing the time spent on code reviews while catching more bugs and vulnerabilities than ever before. That’s the promise of AI-driven code review tools. With 42% of large and enterprise organizations already integrating AI into their IT operations , the future of software development is here. These tools can swiftly detect syntax errors, enforce coding standards, and identify security threats, making them invaluable to development teams. However, as powerful as AI is, it has its pitfalls.

Essential Guide to PII Data Discovery: Tools, Importance, and Best Practices

Personally Identifiable Information (PII) is data that can uniquely identify an individual, such as an employee, a patient, or a customer. “Sensitive PII” refers to information that, if compromised, could pose a greater risk to the individual’s privacy and misuse of information for someone else’s gains.

Cybersecurity Awareness Month: AI Safety for Friends and Family

Happy October! The leaves are changing and everyone is starting to get ready for the upcoming holidays, but let’s not forget one of the most important holidays of the year—Cybersecurity Awareness Month! Though our audience is almost entirely cybersecurity experts, we wanted to put something together to help the less technical people in our lives learn more about AI and cybersecurity, because Cybersecurity Month is for everyone.

Introducing The Riscosity AI Governance Suite

Clients can empower their employees to securely leverage any browser-based AI tool. The Riscosity browser extension will scan and block prompts with sensitive information in real time. Admins can use the intuitive Riscosity dashboard to set RBAC rules and keep a pulse on any AI tools being used – including any attempts to share sensitive information. The bottom line… we’re providing an AI firewall for your company, without the headaches of difficult deployment.

Foundations of trust: Securing the future of AI-generated code

Generative artificial intelligence (GenAI) has already become the defining technology of the 2020s, with users embracing it to do everything from designing travel itineraries to creating music. Today’s software developers are leveraging GenAI en masse to write code, reducing their workload and helping reclaim their valuable time. However, it’s important developers account for potential security risks that can be introduced through GenAI coding tools.