Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI has become both a powerful ally and a formidable weapon in today’s cybersecurity landscape. While AI enables security teams to detect and neutralize threats with unmatched speed and precision, adversaries are equally quick to exploit its potential with increasingly sophisticated and automated attacks. This duality has created an arms race in which organizations must not only adopt AI but continually innovate to stay ahead.

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?

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.

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.

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.