Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

What is Vibe Coding? #vibecoding #aisecurity #coding

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.

Securing AI Where It Acts: Why Agents Now Define AI Risk

In the first round of the AI gold rush, most conversations about AI security centered on models: large language models, training data, hallucinations, and prompt safety. That focus made sense when AI was largely confined to generating text, images, or recommendations. But that era is already giving way to something far more consequential.

Ensuring Institutional AI Ownership With the AI Compliance Officer

‍Artificial intelligence (AI) systems and generative AI (GenAI) tools have already been embedded across enterprise operations in a myriad of ways that trigger compliance obligations, both in terms of AI-specific regulations and other reporting mandates. In many cases, this adoption is occurring informally, through employee-driven tools or AI features embedded within third-party platforms, without centralized visibility or approval.

How Can Creative AI Tools Help You Design Personalized Security Awareness Posters?

The truth is, the majority of the security awareness poster are forgettable. You may have encountered them: stock image of a pad lock, some bold printed text with a warning about phishing emails, perhaps a stock image of a person staring at his/her laptop in a concerned manner. They also become part of the office walls like a beige paint, and no one really listens to them.
Featured Post

Security's Next Turning Point Is the Workforce

Cybersecurity is entering a turning point. It has less to do with new tools than a new reality: the workforce has changed. For years, security programs assumed risk lived in systems, controls, and configurations. People were the variable managed through policies, training, and best-effort awareness. That model was already under strain. Now it is being outpaced.

Tensorway: Redefining AI Software for Mission-Critical Applications

AI software is no longer limited to experiments, internal tools, or innovation labs. Today, it operates at the core of mission-critical systems - influencing financial decisions, controlling industrial processes, supporting healthcare workflows, and enabling real-time risk assessment. In these environments, failure is not an option, and reliability matters more than novelty.

Why AI-Driven Business Idea Discovery Makes More Sense

Finding the right business idea is one of the hardest parts of starting a business. Most people don't struggle because they lack motivation. They struggle because they don't know what kind of business actually suits them. A quick online search gives thousands of ideas: e-commerce, SaaS, content creation, agencies, coaching, marketplaces, and more. But very few of these sources help you answer a more important question.

Why Protecto Privacy Vault Is Ideal for Masking Structured Data

Picture this. You’re a data engineer at a healthcare company with millions of patient records in Snowflake. HIPAA requires you to protect PII before sharing data with researchers or running analytics. So you tokenize the data. And your system catches fire. Your joins break. Your ETL pipelines fail. BI dashboards return wrong results. ML model training jobs crash. All because something fundamental changed about your data architecture.

AI Strategy: Building a Future-Proof Framework

Artificial intelligence (AI) adoption is fast becoming a strategic necessity for modern businesses. With adoption continuing at pace, a carefully considered strategy is essential for gaining or maintaining a competitive advantage, managing downside risk and addressing the continued regulatory, legal, ethical and operational complexities presented by AI.