Confidential Agents vs ObjectSecurity FortiLayer: Side-by-Side Comparison (2026)

Confidential Agents

Enterprise security and AI teams deploying agents on regulated datasets will see immediate value in Confidential Agents' hardware-level encryption during inference, which eliminates the typical choice between data utility and privacy. The platform covers NIST PR.DS and PR.AA controls with cryptographic verification built in, meaning you get attestable proof of data isolation rather than policy assertions. Skip this if your use case is consumer-scale or doesn't involve cross-organizational data sharing; the operational overhead and pricing model assume you're solving a specific high-stakes problem, not running commodity AI workloads.

ObjectSecurity FortiLayer

Mid-market and enterprise security teams embedding AI models into defense applications need FortiLayer to catch adversarial attacks that standard security scanning misses, particularly misclassification and prompt injection vulnerabilities before deployment. The tool's integration into CI/CD and MLOps pipelines means you're catching model weaknesses at build time rather than after they reach production, and it handles both computer vision and LLM risks in a single platform. Skip this if your models are deployed in isolation without defense-critical decision-making requirements or if you lack the infrastructure maturity to operationalize model security into your development workflow.