Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Why AI Security is Suddenly a Big Deal

Mend.io, formerly known as Whitesource, has over a decade of experience helping global organizations build world-class AppSec programs that reduce risk and accelerate development -– using tools built into the technologies that software and security teams already love. Our automated technology protects organizations from supply chain and malicious package attacks, vulnerabilities in open source and custom code, and open-source license risks.

AI Hackers Are Dumber Than You Think (Here's Proof)

Everyone's panicking about AI-powered cyber attacks, but here's what's ACTUALLY happening... Perfect grammar in phishing emails (bye-bye typos!) AI helping write basic malware code NOT some sci-fi hacking revolution The funniest part? Researchers found hackers literally leaving AI tool COMMENTS in their malware code It's like leaving a sticky note that says "ChatGPT helped me write this virus".

Trustwave DbProtect Expands to Secure Snowflake: Strengthening AI Repository Protection

Trustwave's database protection solution, DbProtect, now supports Snowflake, which is a popular, cloud-based data warehousing platform used by organizations to power AI models and data-driven workflows. Snowflake's cloud-based architecture separates storage and compute functions, allowing organizations to scale each independently. The platform's ability to handle both structured and semi-structured data makes it a preferred choice for a broad range of AI and analytics applications.

Automation and AI in Cybersecurity: $2.22 Million in Savings

Over 2024, the average global cost of a data breach reached $4.88 million. This is 10% up from the previous year and the highest amount to date. These figures, published in the Cost of Data Breach Report 2024, also reveal that companies implementing artificial intelligence and automation in their cybersecurity strategies saved an average of $2.22 million compared to businesses that did not adopt them.

Securing the Future of Generative AI: Why Security Can't Keep Pace with Innovation

By James Rees, MD, Razorthorn Security The artificial intelligence revolution isn’t coming. It’s here and it’s moving faster than anyone predicted. Children now trust ChatGPT more than their parents for information. AI-generated content is becoming indistinguishable from human work. Entire industries are being reshaped by technology that seemed like science fiction just a few years ago.

How agentic AI could transform enterprise workflows: Insights from MIT GenAI Lab

The line between human and machine is blurring—and it’s not a question of whether machines can do more, but how far we’re willing to let them go. The frontier lies in tackling the chaos and solving the fragmented processes that slow enterprises: siloed rulebooks, scattered pricing spreadsheets, and manual approvals.

Why RBAC Doesn't Work with AI Agents [And How to Fix It]

Role-Based Access Control (RBAC) is a fundamental, critical part of security architecture that prevents data from falling into the wrong hands. In regular data-based environments (deployed on the cloud or on-premise), RBAC is an effective measure in preventing unauthorized access, with a few exceptions, like successful hacking attempts or breaches. However, this system breaks down once AI comes into the picture. Let’s understand why – and what you can do about it.

Generative AI Security: Why Protection Can't Keep Pace with Innovation

The artificial intelligence revolution isn’t coming. It’s here and it’s moving faster than anyone predicted. Children now trust ChatGPT more than their parents for information. AI-generated content is becoming indistinguishable from human work. Entire industries are being reshaped by technology that seemed like science fiction just a few years ago.