Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

If you think AI-generated code is saving time and boosting productivity, you’re right. But here’s the problem: it’s also introducing security vulnerabilities at an alarming rate. Our latest research reveals that 45% of AI-generated code contains security flaws, turning what should be a productivity breakthrough into a potential security nightmare.

There’s a lot of noise right now about what AI will become. Everyone has a prediction.

PCI DSS 6.4.3 requires organizations to maintain integrity controls over all JavaScript running on payment pages, while 11.6.1 requires continuous monitoring and alerting for script changes. For hospitality brands, compliance is harder than in other industries because: The result: Security teams struggle with fragmented visibility, manual evidence collection, and constant alerts during audits.

The rapid pace of AI innovation is driving new possibilities for every organization. Yet, for many, the journey from inception to reliable, production-ready AI applications is riddled with hidden challenges: proliferation of models, security blind spots, and a desperate need for consistent governance. You want to harness the power of AI, but not at the expense of control, security, or compliance.

Software supply chains are the attack vector for cybercriminals, and the challenge isn’t just finding vulnerabilities; it’s fixing them fast while ensuring security, compliance, and developer productivity. As supply chains grow in complexity, traditional tools aren’t enough; organizations need intelligent, autonomous assistance embedded directly into developer workflows.