Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

We’re excited to announce that Snyk has been recognized as a Leader in the Forrester Wave: Static Application Security Testing (SAST) Solutions, Q3 2025. This recognition affirms our place at the forefront of developer-first security — and highlights the innovation, customer impact, and platform breadth that continue to set us apart.

Cybersecurity isn’t a one-off battle. It’s a daily war fought on multiple fronts. Despite this, many security teams have been defending their organizations without cohesive visibility. Isolated security tools present a disjointed defense, one that is still fighting yesterday’s battles, but not today’s cyber threats.

Security teams are drowning in findings, but only a fraction of exposures actually put the business at risk. Treating every issue as equal spreads resources thin, slows down remediation, and leaves critical systems exposed. Threat Exposure Management (TEM) changes the equation by forcing teams to focus on the exposures most likely to cause real damage – and to build the operating model that ensures they get fixed.

In order to collect various security-related metrics, Bitsight scans the entire internet, collecting a unique set of data that enables us to carry out a variety of studies that would be extremely difficult for any other company to conduct. One of the metrics that we collect is related to the presence of certain vulnerabilities. For this, we need to take into consideration all possible mitigation strategies that are available and that allow us to reduce the risk.

Industries, governments, and enterprises of all kinds have adopted large language models (LLMs) and generative AI (GenAI) into their operations and workflows, unlocking new possibilities for everything from customer interaction to complex data analysis. But with this innovation comes new challenges for security, observability, and data science teams.

On September 9, 2025, SAP released its September 2025 Security Patch Day update with patches for 21 vulnerabilities. The most severe of these, CVE-2025-42944, is a maximum-severity deserialization vulnerability of untrusted Java objects in SAP NetWeaver that resides in the RMI-RP4 module. A remote unauthenticated threat actor can exploit this vulnerability by submitting a malicious payload to an open port to achieve arbitrary OS command execution.

On Monday, September 8th, a highly regarded open source developer, ~qix, was compromised via a phishing email. ~qix is an author and maintainer behind a large number of popular npm packages and found himself caught by this attack after responding to a message from the email address of support help. This resulted in the attacker taking over his npm account and having access to publish malicious versions of packages to which Qix had privileged access.

AI agents (utilizing LLMs and RAG) are being used within SOCs and SIEMS to both help identify attacks and assist analysts with working more efficiently; however, I’ve done a little bit of research one sunny British afternoon and found that these agents can be abused by attackers and made to go rogue. They can be made to modify the details of an attack, hide attacks altogether, or create fictitious events to cause a distraction while the real target is attacked instead.