Vijil AI Agent Trust Platform
Enterprise-grade trust platform for securing and validating AI agents in production
Recommended for
- Pre-Seed
- Seed
- Series A
- Scaleup
- Late-Stage
SSIE
Stage Fit Recommendations
Following data shows why Vijil AI Agent Trust Platform is recommended for listed teams. The Fit Score represents the percentage fit of Vijil AI Agent Trust Platform to each company stages, as calculated by the SSIE.
Stage
Fit Score
Fit Reasons
Pre-Seed
$0–$10k MRR
56- Multiple support channels (chat, email)
- Open-source codebase, independently reviewable
- Data encryption at rest and in transit
- Multi-factor authentication (MFA) enforcement
- Automated data backup with retention policies
- Documented disaster recovery procedures
Seed
$10k–$100k MRR
65- SOC 2 - core enterprise certification
- Single sign-on (SSO) via SAML 2.0
- Detailed audit logging of user activity
- Regular third-party penetration testing
- Documented incident response process
- Mandatory employee security training
- Public trust center for security posture
Series A
$100k–$500k MRR
69- SOC 2 - core enterprise certification
Scaleup
$500k–$2M+ MRR
69- SOC 2 - core enterprise certification
Late-Stage
$2M+ MRR
68- SOC 2 - core enterprise certification
Description
Vijil AI Agent Trust Platform delivers a four-layer security framework to harden and validate AI agents before and during enterprise deployment. Vijil Depot integrates guardrails and proxies into LLMs during development to prevent data leakage and adversarial attacks. Vijil Diamond provides pre-deployment testing with evaluation, validation, and verification to ensure agent reliability under real-world conditions. Vijil Dome enforces runtime defense using lightweight containers and trusted execution environments to block runtime exploits. Vijil Darwin continuously improves agent performance through analytics-driven feedback loops and adaptive learning. Designed for cybersecurity teams in regulated industries, this platform reduces risk while maintaining operational efficiency for AI-driven workflows.
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