Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Over the past few weeks, the topic of tariffs has dominated headlines internationally. These trade measures have triggered global economic volatility, with the European Union (EU) pausing its retaliatory tariffs to allow room for negotiation. While the immediate focus is on economic ramifications, it's crucial to recognize the less visible, yet significant, impact these tariffs can have on cybersecurity infrastructures, especially in the realm of API security.

MCP, short for Message Communication Protocol, refers to a category of protocols used for exchanging structured messages between systems or applications. It was developed primarily to meet the communication needs of early enterprise systems that required: MCP protocols are often seen in banking, insurance, healthcare, and telecom industries—sectors where many systems were developed before APIs became mainstream.

The rapid adoption of generative AI (GenAI) in the enterprise is introducing a new category of unmanaged risk known as shadow AI. Organizations frequently lack insight into which employees are using GenAI tools and how they are being accessed, resulting in visibility limitations, policy enforcement challenges, and increased risk of data exposure. Security teams face potential data leaks and compliance violations, while IT teams struggle to integrate GenAI usage into existing governance models.

The number of connected devices will reach over 17 billion worldwide in 2024. This is a big deal as it means that all previous connectivity records. The statistics paint a worrying picture – 22% of organizations dealt with serious IoT security incidents last year. The security landscape looks even more concerning. The average organization’s devices remain completely unsecured – about 30% of them. IoT devices face significant threats, with malware affecting 49% of them.