See the AI attack surface. Map it to compliance.
Aegis is an AI security posture platform that scans codebases, agent workflows, and AI supply chains, then maps every finding to the compliance frameworks your security and audit teams already use.
Traditional application security was built for static web apps. Teams now ship models, agents, and tool-using workflows alongside ordinary code. Aegis covers both in one pass, so you are not stitching together four scanners and a spreadsheet before an audit.
01
Codebase scanning
Source analysis for secrets, insecure patterns, dependency risk, and AI-specific weakness classes, with line-level evidence and remediation guidance.
02
Agent workflow scanning
Maps what an agent can actually do: tool access, filesystem and code execution, network reach. Flags autonomy that exceeds operational need.
03
Supply chain scanning
Checks application and model dependencies against public vulnerability databases, including packages and model hubs your AI stack pulls in.
04
Audit-ready reporting
One finding set, mapped across frameworks automatically. Export the view your auditor asked for instead of rebuilding it by hand.
One scan. The reports your auditors already ask for.
| Capability | Legacy AppSec tools | Aegis |
|---|---|---|
| Ordinary code vulnerabilities | Covered | Covered |
| Agent tool access and permissions | Not in scope | Mapped and scored |
| Prompt and output handling risk | Limited | In the same scan |
| Compliance mapping | Manual after the fact | Automatic across frameworks |
Findings are expressed in the language your security and audit teams already use. Not a single-framework lock-in.
Straight answers before a scoping call.
It is a continuous view of how your software and AI systems are exposed: code, agents, dependencies, and the controls you claim in audits. Aegis is VectoRise's platform for that view.
Findings map across the frameworks security and audit teams already report against, including OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and CAI. The point is one scan, many reports, not a single-framework lock-in.
It covers the classes those tools were built for and the AI-specific classes they were not. Most teams run Aegis where those tools go quiet: agents, model dependencies, and unified compliance output.
A scoping call, then a scan against a real repository or agent workflow. You leave with findings, framework mapping, and a clear sense of whether Aegis belongs in your stack.
Book a scoping call.
A short conversation is enough to see whether we should work together.