Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Snyk Learn, our developer security education platform, just got better! We have expanded our lesson coverage and created a new learning path that covers the OWASP Top 10 for LLMs and GenAI, and is entirely free! As AI continues to revolutionize industries, ensuring the security of AI-driven systems has never been more critical.

This is the third article in a series about cloud-based attack vectors. Check out our last article about Cloud-Based ransomware! As Identity Access Management (IAM) becomes more complex, it becomes possible for an attacker to exploit the capabilities of legitimate permissions alone or in combination, escalating privileges and gaining potentially devastating levels of access. Because these privileges are legitimate, these attacks can be difficult to detect until the damage is already done.

Pulumi customers can secure and simplify their secrets management workflows with a new integration built for 1Password.

Generative AI (GenAI) has the power to transform organizations from the inside out. Yet many organizations are struggling to prove the value of their GenAI investments after the initial push to deploy models. “At least 30% of GenAI projects will be abandoned after proof of concept by the end of 2025, due to poor data quality, inadequate risk controls, escalating costs or unclear business value,” according to Gartner, Inc.

Following the Sysdig Threat Research Team’s (TRT) discovery of LLMjacking — the illicit use of an LLM through compromised credentials — the number of attackers and their methods have proliferated.

Today’s threat landscape is defined by adversaries’ increasing speed and quickly evolving tactics. Now more than ever, it is imperative organizations unify and accelerate their security operations to detect, identify and respond to threats at the rapid pace of the adversary. This isn’t always straightforward.