π‘ Inspiration
This whole enterprise AI boom kind of looks glamorous, but beneath it there is this massive, hidden mess called Shadow AIβ¦ and yeah itβs a crisis. Companies are throwing millions π° at βsecureβ AI tools, and yet employees still, kinda quietly, use free consumer web options to move faster. The catch is theyβre uploading all kinds of sensitive stuff π, like corporate source code, customer database queries π, and even private API keys π to public servers. So, data leaks π₯ and compliance failures start stacking up fast. We built TARCHIA so CEOs and security teams get direct, no-blink visibility and real-time control over this unhinged, Wild-West AI terrain.
π‘οΈ What it does
TARCHIA is an autonomous Enterprise AI Security Agent that monitors and protects every employee-to-AI interaction in real time. It does a bunch of things, not just one:
ποΈ Intercepts & Analyzes: It automatically checks outgoing data payloads being sent to outside AI platforms.
π Calculates Risk Scores: It assigns threat levels from 0 to 100, based on whether a tool is approved and how sensitive the data is.
π Enforces Guardrails: It blocks high-impact leaks instantly (for example PCI-DSS related financial structures, or Base64 encoded keys) before any data leaves the corporate perimeter.
π§ Tracks Behavioral Anomalies: It spots insider threat vibes, odd usage volume, and those sneaky tool-hopping evasion tactics.
βοΈ How we built it
We powered TARCHIA through the Google Cloud ecosystem βοΈ:
Vertex AI Agent Builder: The core multi-step reasoning route, plus orchestration layers.
Google Gemini Enterprise: The deep semantic brain π§ that handles complicated analysis, decodes obfuscated payloads, and produces forensic logs.
Google BigQuery: A centralized telemetry data home π to record high-volume traffic patterns and help predictive fraud detection run better.
π₯ Challenges we ran into
A security agent has to be insanely preciseβfalse positives π¨ can slow employees down, false negatives π can basically wreck security. We managed it by running tests across 9 tough, real-world situations β
: ChatGPT with credit cards, Claude with API keys, approved tools plus passwords, Base64 obfuscation, tool-hopping patterns, volume anomalies, insider threat attempts, dark web access attempts, and a few more cases we really did not want to mess up.
π Accomplishments that we're proud of
We built a fully operational security control plane inside Google AI Agent Builder. It handles messy data decoding, behavioral analysis, and real-time compliance enforcement. Basically we showed that AI intelligence π€ can be used to police and secure AI deployment across a global workforce, without relying on vibes or manual cleanup. π
π What we learned
- Security cannot stop at URL filteringβcontent inspection has to keep going continuously even on approved tools π
- Behavioral anomalies (volume, timing, patterns) matter as much as tool approval status π
- AI can be trained to catch evasion tricks (obfuscation, tool-hopping) in real time β‘
π What's next for TARCHIA: Shadow AI Guardian
π’ Enterprise pilot deployments with Fortune 500 companies
π MongoDB Atlas integration for high-volume data logging
π A custom dashboard for CEO/CISO command centers
π API gateway integration for intercepting real network traffic
π§ Predictive threat modeling using historical decision logs
Built With
- agent-builder
- google-bigquery
- google-cloud
- google-gemini
- vertex-ai
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