Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

With the rapid expansion of cloud data storage and analytics, enterprises are increasingly leveraging platforms like Snowflake for their scalability and performance. However, this also introduces new challenges in data security, particularly for industries dealing with sensitive data such as finance, healthcare, and e-commerce.

As AI becomes an increasingly critical component in the digital supply chain, tech buyers are struggling to appropriately measure and manage their AI risk. Keeping tabs on emerging risk from the AI technology they use is hard enough. But often the most crucial AI business functions that organizations depend upon aren’t directly under their control or care, but instead are governed by the tech vendors that embed them into their underlying software.

The rise of AI in enterprises has expanded the attack surface. Learn how GitGuardian can help you secure non-human identities and prevent unauthorized access.

DeepSeek, founded by Liang Wenfeng, is an AI development firm located in Hangzhou, China. The company focuses on developing open source Large Language Models (LLMs) and specializes in data analytics and machine learning. DeepSeek gained global recognition in January 2025 with the release of its R1 reasoning model rivalling OpenAI's o1 model in performance but at a substantially lower cost.

AI coding assistants like GitHub Copilot are transforming the way developers write software, boosting productivity, and accelerating development cycles. However, while these tools generate code more efficiently, they also introduce new risks more efficiently—potentially embedding security vulnerabilities that could lead to severe breaches down the line. What is your plan for reducing risk from the vast amount of insecure code coming through agentic AI in software development?

The introduction of OpenAI’s ‘Operator’ is a game changer for AI-driven automation. Currently designed for consumers, it’s only a matter of time before such web-based AI agents are widely adopted in the workplace. These agents aren’t just chatbots; they replicate human interaction with web applications, executing commands and automating actions that once required manual input.

In January 2025, within just a week of its global release, DeepSeek faced a wave of sophisticated cyberattacks. Organizations building open-source AI models and platforms are now rethinking their security strategies as they witness the unfolding consequences of DeepSeek’s vulnerabilities. The attack involved well-organized jailbreaking and DDoS assaults, according to security researchers, revealing just how quickly open platforms can be targeted.

Successful AI integration begins with clearly defined business objectives. Avoid chasing the latest AI trend and instead focus on how AI can directly address your organization's key challenges and opportunities. Consider these questions.

The European Union’s (EU) AI Act (the Act) represents landmark artificial intelligence (AI) regulation from the EU designed to promote trustworthy AI by focusing on the impacts on people through required mitigation of potential risks to health, safety and fundamental rights. The Act introduces a comprehensive and often complex framework for the development, deployment and use of AI systems, impacting a wide range of businesses across the globe.