Generative AI
The shared responsibility model places infrastructure security on the provider, but identity, access, and configuration squarely on the customer. This is where breaches fester. A misconfigured Kubernetes dashboard, an API key carelessly committed to GitHub, or a forgotten test environment from a recent AWS integration can be exploited within hours.
The threats are multifaceted, demanding a layered defense strategy.
multifactor authentication
Cloud misconfigurations, stemming from default settings, permissive storage buckets, and unmonitored changes, remain a leading cause of breaches. Attackers relentlessly scan for exposed databases, open ports, and insecure APIs.
CI/CD
Deepfake voice and video scams are surging. Attackers impersonate executives, fabricate urgent requests, and deploy AI-generated phishing emails that appear flawless. Traditional awareness programs are no match for a “CEO” who sounds utterly convincing.
MFA
Ransomware attacks on SaaS applications, databases, and hosted file systems are on the rise. According to Morphisec, cloud environments are becoming preferred targets, while Seagate reports that 71 percent of organizations experienced ransomware incidents linked to cloud storage in 2025. Once inside, attackers can encrypt terabytes of data in hours.
backups
Supply chain cyber risk is soaring. Breaches have doubled, with 71 percent of firms experiencing a third-party incident. Cloud amplifies the risk, as every SaaS or API provider is a potential entry point. Yet many organizations fail to meet security requirements, and nth-party visibility remains minimal.
SBOMs
Cloud generates mountains of telemetry, making manual review impossible. AI-driven SIEM and XDR platforms detect anomalies in real time, automatically quarantine compromised workloads, and lower the mean time to containment from hours to minutes.
CSMA
Serverless computing minimizes overhead but relies heavily on provider security. Containers, managed by Kubernetes, offer agility but also increase complexity. Enterprises implement runtime monitoring, container scanning, and zero-trust policies for microservices.

