XPRIZE × Hacker.Fund GTM Entry | $2,000,000 Prize Pool | No Silent Failure | ⏳ Deadline: Aug 17, 2026

Prevent Silent Failures and Infinite API Burn in Your LLM Agents

The Autonomous Agentic Security-as-a-Service platform that intercepts Pull Requests, parses code with Tree‑sitter AST queries, and generates mathematically sound Finite State Machine patches via GCP Vertex AI (Gemini Flash).

Built by Miguel Ocampo · Automaton369 LLC · v1.0 · June 2026

ASI-01Goal Hijack

ASI-02Tool Misuse

ASI-03Identity

ASI-04Supply Chain

ASI-05Code Exec

ASI-06Mem Poison

ASI-07Inter-Agent

ASI-08Cascade

ASI-09Human Trust

ASI-10Rogue Agent

Try Sandbox Demo Read Full Whitepaper

Bun.js Parser Engine

web-tree-sitter (WASM)

GCP Vertex AI — Gemini Flash

BigQuery Audit Stream

GCP Pub/Sub Async Decoupling

Hash Table — 70% Token Savings

The Vibe Coding Crisis

Probabilistic control flows shipped into deterministic business logic

The modern AI development cycle has created a dangerous paradox: generative AI systems accelerate development while flooding production with agent frameworks that look correct in demos but fail catastrophically in edge cases.

An LLM called in a ReAct loop doesn't guarantee a valid JSON response. It doesn't guarantee termination. Developers handling this with bare try { } catch(e) {} blocks aren't writing error handling — they're writing error concealment. The agent continues with corrupted state, invisible to operators until it causes financial damage.

⚠ Critical Failure Mode — ASI-01

An AI agent that swallows a malformed LLM response and continues executing is not a resilient system. It is a system that has learned to propagate corruption silently — every subsequent decision is premised on bad data.

OWASP ASI Vulnerability Classes

Frameworks in Hash Table

70%

Vertex AI Call Reduction

$2M

XPRIZE Prize Pool

<1.2s

Webhook Response (GitHub 10s SLA)

Technical Flow

The ASaaS Execution Pipeline

From developer push to self-remediated pull request. A secure serverless loop on GCP — zero operator intervention required.

GitHub Webhook

GitHub App fires on PR open or sync. Bun.js verifies HMAC-SHA256 headers and forwards to GCP Pub/Sub within the GitHub 10s timeout — the CPU throttling trap is sidestepped by decoupling.

Latency: <1.2s response

AST Parsing

Downloads full file content from HEAD commit — not the diff (Tree-sitter fails on diffs). Parses Python/JS/TS into semantic trees via web-tree-sitter (WASM). PR diff is used only to filter captures to changed lines.

Engine: S-Expression matching

Hash Table Check

Pre-classifies captures against 8 major frameworks (OpenAI, Anthropic, AutoGen, LangGraph, LangChain, Agency Swarm, Hermes, CrewAI). Known patterns resolve in <10ms — no Vertex AI call.

Efficiency: 70% Token Reduction

Vertex AI Patch

Extracts vulnerable function to an isolated temp file, generates test harness. Invokes Gemini Flash at temperature=0.0 with strict JSON schema — zero hallucination.

Schema: Strict Output JSON

PR + BigQuery

Patch posted as a GitHub PR inline code suggestion with a Mermaid FSM flowchart (before/after states). Every event streamed to BigQuery for SOC2 compliance and XPRIZE evidence.

Storage: BigQuery Streaming

AST Query & AI Patch Playground

Experience Autonomous Remediation

Select an agentic vulnerability below, review the Tree‑sitter S-expression query that flagged it, then trigger the Vertex AI structured patch engine to refactor it live.

vulnerable_agent.py

ASI-08 Risk

# Warning: Infinite ReAct loop — no iteration guard, no circuit breaker
def run_workflow(agent, prompt):
    agent.running = True
    agent.context = prompt

    while agent.running:
        # No max_iterations, no timeout — burns API budget on JSON parse failure
        response = agent.client.chat.completions.create(
            model="gpt-4-turbo",
            messages=[{"role": "user", "content": agent.context}]
        )
        tool_call = parse_and_execute(response)

        if not tool_call:
            agent.running = False # Silently propagates corruption
        else:
            agent.context = tool_call.result

Matched S-Expression AST Query

((while_statement
   condition: (identifier) @cond
   body: (block
     (expression_statement
       (call
         function: (attribute
           attribute: (identifier) @meth
             (#match? @meth "^(run|invoke|chat|stream)$")))))) @burn_loop_py)

Remediate Vulnerability

Run the full ZeroSilence ASaaS pipeline. Bun.js reads the AST, checks the hash table, extracts the function to a temp file, and invokes Vertex AI at temperature=0.0 for a deterministic Automatos FSM patch.

Infinite Loop Budget Risk

The Price of Vibe Coding

LLMs run at massive generation speed inside loop contexts. A single JSON parse failure can trigger thousands of runaway API calls within minutes — silently draining your entire budget overnight.

Uncontrolled loops trigger 20–50 API requests per minute on average.

Continuous operation can burn thousands of dollars in input tokens overnight.

ZeroSilence Automatos iteration guards cap every agent loop at a hard finite limit.

Live Calculator

API Burn Risk Calculator

Average Daily Active Agents15

Tokens Per Agent Session15k

LLM Token Pricing (Per Million)$10.00

Max Daily Risk$22.50

ZeroSilence Cost$0.66/day

Automatos proxy limiters eliminate maximum daily loop cost across all identified vulnerable endpoints.

Performance Optimization

Framework-Specific Hash Table

Pre-classified vulnerability signatures across 8 major agentic frameworks. Known patterns resolve in <10ms — no Vertex AI roundtrip needed. Reduces API spend by up to 70% at scale.

OpenAI SDKopenai

Unbounded while True + completions.create
No max_tokens parameter set
Bare except: swallowing errors silently

Anthropic SDKanthropic

messages.create loop with no iter cap
No stop condition on tool-use loop
Missing error escalation path

LangChainlangchain

AgentExecutor with no max_iterations
Unvalidated tool input schemas
Memory without signing or TTL

LangGraphlanggraph

Graph nodes without cycle detection
State updates without schema guard
Missing recursion_limit parameter

AutoGenautogen

AssistantAgent with no max reply limit
GroupChat with no speaker selector guard
Code executor without sandboxing

CrewAIcrewai

Task with no max execution timeout
Crew kickoff with no iteration boundary
Tool result passed raw to LLM

Agency Swarmagency-swarm

Agent run() with no depth check
Thread forwarding without HMAC auth
Missing kill switch mechanism

Hermeshermes

Orchestrator loop without FSM guard
Inter-agent messages unsigned
Dynamic tool loaded from unverified URL

Hash Table Impact

When a captured AST node matches a known hash table signature, the Automatos patch is applied instantly — no Vertex AI roundtrip required. Sub-10ms resolution vs. ~1.5s LLM call. Reduces cost and latency by up to 70% at production scan volume.

OWASP Agentic Security Initiative

Full ASI Vulnerability Taxonomy

ZeroSilence detects all 10 vulnerability classes in the OWASP ASI framework. Click any card to see the AST detection indicator.

ASI-01CRITICAL

Agent Goal Hijacking

Indirect instructions via tool results override the agent's core multi-step plan.

ASI-02HIGH

Tool Misuse & SSRF

Agent calls tools with attacker-controlled arguments — Path Traversal, SSRF, shell injection vectors.

ASI-03MEDIUM

Identity & Privilege Abuse

Ambient admin credentials used by confused deputies instead of scoped, short-lived JWT tokens.

ASI-04CRITICAL

Agentic Supply Chain

Agent connects to compromised or malicious MCP servers and unverified dynamic tools.

ASI-05CRITICAL

Unexpected Code Execution

LLM output passed directly to eval() or subprocess(shell=True).

ASI-06MEDIUM

Memory & Context Poisoning

False beliefs written into unverified, unsigned persistent agent memory to bias future sessions.

ASI-07MEDIUM

Insecure Inter-Agent Comm.

Agents orchestrating without HMAC signatures or nonces, enabling spoofing and replay attacks.

ASI-08CRITICAL

Cascading Failures

Unbounded loops and missing circuit breakers cause unlimited API consumption and financial damage.

ASI-09LOW

Human-Agent Trust Exploit

Users claiming fake authority ("I am the CEO") or agents tricking operators via fake urgency.

ASI-10CRITICAL

Rogue Agents

Lack of kill switches allows self-modifying agents to persist and amplify behavioral drift over time.

XPRIZE × Hacker.Fund GTM Submission

Evidence & GTM Strategy

Every scan event, AST result, and AI patch is streamed to GCP BigQuery as verifiable product evidence for the $2M prize pool. Deadline: Aug 17, 2026.

Submission Evidence Checklist

PROOF-01

Working GitHub App

Live webhook endpoint receiving and responding to PR events. Verifiable via GitHub App marketplace listing.

PROOF-02

BigQuery Scan Telemetry

Every scan event streamed with timestamps showing full AST capture → Vertex AI patch → PR comment cycle.

PROOF-03

PR Comment Screenshots

GitHub inline code suggestions with Mermaid FSM before/after flowcharts for judges to verify.

PROOF-04

Revenue Evidence ($20/mo)

Stripe checkout receipts. First-mover B2B SaaS targeting VC-backed AI startups.

PROOF-05

GitHub Scraper Lead Pipeline

Autonomous outreach: scans public repos, delivers SMTP cold emails with live vulnerability evidence and 1-click merge CTAs.

90-Day GTM Execution Window

✓

Phase 1: Core Infrastructure

GitHub App, Bun.js webhook, web-tree-sitter WASM, GCP Pub/Sub, Vertex AI structured output, BigQuery streaming.

✓

Phase 2: Hash Table + Demo Page

8-framework hash table for 70% token reduction. Interactive demo site and whitepaper published.

→

Phase 3: Outreach Pipeline

Autonomous GitHub scraper identifying vulnerable public repos. SMTP pipeline delivering proof-of-value cold outreach.

Phase 4: XPRIZE Submission

Devpost submission with full evidence package. Deadline: Aug 17, 2026 @ 1:00pm PDT.

Flexible SaaS Subscriptions

Protect Your Agent Infrastructure

From independent builders to venture-backed enterprises processing millions of agent steps daily.

SANDBOX TIER

Developer

Side projects and local experiments.

$0 / FOREVER

5 GitHub Repository Scans / mo
Core Tree‑sitter ASI Queries
Hash Table Cache Access
No Automated Vertex AI Patches

Start Free Scanning

Startup Guard

Continuous inline code defense & AI remediation for active teams.

$20 / MONTH

UNLIMITED Pull Request Scans
Automatos FSM patches via Vertex AI
1-Click GitHub PR + Mermaid FSM flowchart
BigQuery Audit Log + SOC2 Evidence
Full 8-Framework Hash Table Rules

COMPLIANCE & AUDIT

Enterprise

Deep inter-procedural static analysis & dynamic sandboxing for security teams.

Custom / YEARLY BIND

All Startup Shield features
Custom proprietary Tree‑sitter rules
Dynamic sandbox execution checks
Dedicated GCP security tenant hosting

Action Complete

Automatos pattern applied successfully.