Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Just when CIOs and CISOs thought they were getting a grip on API security, AI came along and shook things up. In the past few years, a huge number of organizations have adopted AI, realizing innumerable productivity, operational, and efficiency benefits. However, they’re also having to deal with unprecedented API security challenges. Wallarm’s Annual 2025 API ThreatStats Report reveals a staggering 1,025% year-on-year increase in AI-related API vulnerabilities.

The explosion of AI has led to the creation of tools that make it more accessible, leading to more adoption and more numerous, less sophisticated users. As with cloud computing, that pattern of growth leads to misconfigurations and, ultimately, leaks. One vector for AI leakage is exposed Ollama APIs that allow access to running AI models. Those exposed APIs create potential information security problems for the models’ owners.

Since the Sysdig Threat Research Team (TRT) discovered LLMjacking in May 2024, we have continued to observe new insights into and applications for these attacks. Large language models (LLMs) are rapidly evolving and we are all still learning how best to use them, but in the same vein, attackers continue to evolve and grow their use cases for misuse.

Are your employees accessing restricted websites during work hours? Unrestricted web access on company devices can lead to decreased productivity and increased security risks. For businesses, controlling online activity on work-issued Android phones and tablets is essential to maintaining a secure and focused work environment.

The rise of agentic AI tools will transform the cybercrime landscape, according to a new report from Malwarebytes. Agentic AI—which is still under development—is a step above the generative AI tools that are currently available to the public, and will likely be widely released in 2025. While these tools will have many legitimate uses, they’ll also enable cybercriminals to scale their attacks.

Together, Snyk and Google Cloud enable modern security practices that unify cloud and application security efforts. This collaboration simplifies risk management for CISOs, providing a cohesive strategy to protect cloud-native environments and the applications running within them. Security leaders often struggle with fragmented tools that create silos between cloud security and application security teams.