Trust infrastructure for software and AI agents

Security claims
need proof.

Trust cannot be another model output.

Today, Aegis independently verifies security-sensitive software changes: what was claimed, what evidence supports it, what was authorized, and whether the resulting change actually held.

code --install-extension aegis-security.aegis-security
Available nowLinux x64Install details
AEGIS · PRODUCT 0.2.4
Aegis Attack Graph and Data Sentinel interface captured in Visual Studio Code
Real Aegis product capture · Attack Graph / Data SentinelVS Code

The trust problem

Software can act.
Trust cannot be assumed.

AI can propose changes and software can increasingly act without a human writing every line. That makes a security answer less important than the chain behind it: evidence, authorization, independent verification, and an explicit decision.

01 / CLAIM

A finding is not a verdict.

Security conclusions stay distinct from the evidence that supports them.

02 / CHANGE

A patch is not proof.

A proposed change does not get to certify that it solved the problem it addressed.

03 / TRUST

Missing proof stays missing.

Uncertainty remains visible instead of being flattened into a clean-looking answer.

How Aegis works

Claim → evidence → authorization → verification → decision.

INSPECTABLE
01 / CLAIMSUPPORTED

Security-sensitive behavior identified.

Aegis keeps the security claim separate from the evidence used to support it. A finding does not become a verdict just because a scanner or model produced it.

source boundscope explicitprovenance retained

Product proof

See the record.
Not just the warning.

The shipped product keeps the security claim, supporting evidence, authorization state, remediation lifecycle, and verification outcome available for inspection instead of compressing trust into a single score.

Aegis security interface showing materialized attack paths and evidence-bound results
Captured from the Aegis VS Code surface.

Built for trust

Confidence should come from boundaries, not branding.

Aegis separates analysis from permission, a proposed fix from post-change verification, and a billing redirect from actual paid authorization.

Security at Aegis
01

Local-first developer path

Supported deterministic analysis, evidence, policy, and security state can remain on the developer machine by default.

02

Explicit authorization

Security-sensitive execution and mutation are treated as separate capabilities rather than implied by analysis.

03

Independent verification

A proposed result is not trusted merely because the component that created it says it is correct.

04

Server-authoritative paid access

Founding Pro authorization comes from signed, server-side billing state rather than a client-controlled success screen.

Today and direction

Start with software security.
Build toward accountable autonomy.

The product and the long-term thesis are related, but they are not presented as the same thing.

TODAY

Independent security verification for software changes.

Aegis gives developers an inspectable path from security claim and evidence through authorized validation, remediation, and independent verification.

Shipping product · 0.2.4
DIRECTION

Trust infrastructure for increasingly autonomous software and AI agents.

As software takes more actions on its own, Aegis is being built toward the same core questions at a wider scope: what happened, was it authorized, what proves the result, and should it be trusted?

Long-term product direction

AEGIS

Security claims
need proof.

Install Aegis, open a project, and inspect the evidence yourself.