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 bad actors use artificial intelligence to step up their phishing game, mounting an effective defense means using a secure email gateway that likewise employs AI to detect even the most cleverly crafted phishing emails and the fraudulent websites to which the emails attempt to direct recipients. The concern is not just with generative AI (GenAI) tools like ChatGPT, which has some (rather limited) guardrails to prevent nefarious use.
Snyk helps you find and fix vulnerabilities in your code, open-source dependencies, containers, infrastructure-as-code, software pipelines, IDEs, and more! Move fast, stay secure.
In the inaugural episode of the Security Matters podcast, host David Puner dives into the world of AI security with CyberArk Labs' Principal Cyber Researcher, Eran Shimony. Discover how FuzzyAI is revolutionizing the protection of large language models (LLMs) by identifying vulnerabilities before attackers can exploit them. Learn about the challenges of securing generative AI and the innovative techniques used to stay ahead of threats. Tune in for an insightful discussion on the future of AI security and the importance of safeguarding LLMs.
This podcast is a quick but informative discussion into CIEM, it's definition, its importance, and its role within a comprehensive IAM and cybersecurity program. As organizations accelerate their migration to cloud environments, managing access and entitlements within these dynamic infrastructures becomes increasingly critical. Cloud Infrastructure Entitlements Management (CIEM) has emerged as a pivotal component in the broader Identity and Access Management (IAM) and cybersecurity landscape.
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.
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?
Software development is one of the most impacted workflows in the Artificial Intelligence revolution. How will you handle the AI-driven revolution in software development securely? Check out this video to see how our innovation can help you stop risks in AI and the software supply chain at the start.
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.