AI Agent Permission Risk Report
Cross-cloud and SaaS summary for a CISO, CTO, auditor, or board audience. Shows business impact, top paths, and first actions.
- Score
- 82 / 100 High
- Assessment ID
- KAV-ASM-2026-05-NSHC-001
- Best for
- Executive review
Synthetic product output
These sample reports use synthetic company, subscription, account, tenant, and resource IDs, but the format is modeled on Kavryl scanner output across Azure, AWS, GitHub, Microsoft 365 / Entra, Google Workspace, and MCP agent configs.
Downloadable PDFs
A Kavryl assessment turns read-only evidence into executive summary, technical findings, OWASP API Top 10 mapping, MITRE ATLAS-style AI risk paths, and owner-ready remediation steps.
Cross-cloud and SaaS summary for a CISO, CTO, auditor, or board audience. Shows business impact, top paths, and first actions.
Uses synthetic Azure subscription IDs, AWS account IDs, resource ARNs, and cloud findings based on our Azure and AWS scanners.
Shows what Kavryl output looks like for Microsoft 365 / Entra, Google Workspace, GitHub, OAuth grants, and MCP tools.
Kavryl combines scanner evidence from cloud, SaaS, identity, repository, and agent configuration surfaces. The output tells security leaders which agent paths are dangerous, why they matter, and what owners should fix first.
A single finding may look manageable. The real risk appears when broad OAuth scopes, static secrets, public APIs, and privileged cloud roles combine into an agent action path.
Disable shell-capable MCP tools for support agents, require approval before outbound Slack/email actions, and pause new agent grants.
Replace broad Azure/AWS roles, remove unused OAuth scopes, split agent service identities, and restrict RAG data sources.
Run recurring scans, assign owners to every agent/tool, and create an approval workflow for new SaaS and cloud permissions.
Kavryl maps evidence to OWASP API Security Top 10 categories such as Broken Authentication, Broken Function Level Authorization, Security Misconfiguration, and Improper Inventory Management. It also maps AI-specific interpretation to MITRE ATLAS-style paths such as AI-enabled system discovery, credential misuse, excessive agency, and public agent/API exposure.
Kavryl Security