Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI code review leverages artificial intelligence models and machine learning techniques to analyze and provide feedback on source code, automating and improving the traditional code review process. It is crucial for software development workflows, offering significant advantages to developers and teams. AI code review can scan for bugs, style violations, security vulnerabilities, and other issues.

Most dashboards are like a busy beach with one lifeguard watching the entire shoreline. They keep an eye on everything, but the sheer scope means that critical issues—like risks in AI applications—can get lost in the crowd. Mend.io’s AI Security Dashboard changes that. It’s like a lifeguard tower posted directly at the AI section of the beach, keeping a sharp, dedicated watch on AI specific risks that other tools overlook.

The NPM ecosystem has been rocked by one of its widest supply chain attacks to date, with over 187 popular packages compromised by advanced malware capable of self-propagation and automated credential harvesting. This attack, affecting packages with millions of weekly downloads including angulartics2, ngx-toastr, and @ctrl/tinycolor, demonstrates how cybercriminals are evolving their tactics to create “worm-like” malware that can autonomously spread across the software supply chain.

Our customers have been telling us for months: “You’ve made security simple.” Today, Forrester confirmed what our customers already knew. Mend.io has been recognized as a Strong Performer in The Forrester Wave: Static Application Security Testing Solutions, Q3 2025. In our first appearance in the evaluation, we earned top scores in Innovation and Triage. But the recognition that matters most? Being highlighted as a customer favorite.

The NPM ecosystem faced another significant supply chain attack when 18 popular packages, including highly-used libraries like debug and chalk, were compromised with advanced cryptocurrency drainer malware. This attack, affecting packages with over 2 billion weekly downloads, demonstrates how cybercriminals are leveraging trusted software distribution channels to deploy advanced Web3 wallet hijacking code.