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-# The Immune System That Runs Your Company
-### How ImmunoOrg 2.0 Trains AI Agents to Self-Heal Enterprise Infrastructure
-
-*OpenEnv Hackathon 2026 — Mini Blog Post*
-
----
-
-## The Metaphor That Makes This Click
-
-Your company's IT infrastructure is a **living organism**. Here's how the analogy maps:
-
-| Biology | ImmunoOrg |
-|---|---|
-| Pathogen entering the body | Ransomware lateral-moving through your VPC |
-| White blood cells identifying the threat | AI agents scanning logs, building a belief map |
-| Cytokine storm (over-reaction) | Agent isolates every node → production goes down |
-| Immune memory (T-cells) | Self-improvement loop: 6 generations of org mutations |
-| The 3-day fever that kills the patient | The 3-day approval delay while the CISO is on vacation |
-
-The core insight of ImmunoOrg: **the organism that kills you isn't the virus — it's your own bureaucracy's inability to respond.**
-
----
-
-## What the Environment Simulates
-
-When you call `env.reset()`, ImmunoOrg spawns:
-
-- **A network graph**: 7-15 nodes (web servers, DBs, CI/CD, DNS) with real vulnerability scores
-- **An org graph**: departments with approval chains, authorization levels, and political deadlocks
-- **An active attack**: SQL injection, ransomware, supply chain compromise — already in progress
-- **4 parallel AI systems**: War Room (debate), DevSecOps Mesh (pipeline), Migration Engine (MTD), Executive Context (schema drift)
-
-The agent gets 500 steps to contain the attack, fix the root cause, and restructure the org to prevent recurrence — all without taking down production.
-
----
-
-## The 4 Hardest Problems (and How We Solve Them)
-
-### 1. The Hallucination Problem (Halluminate Bonus)
-> *"The CISO AI confidently says the attack vector is SSH port 22. It's actually DNS tunneling on port 53."*
-
-**Solution**: The **War Room** requires 3 AI personas (CISO, DevOps Lead, Lead Architect) to cross-validate every factual claim via a shared `FactStore` before any action executes. If the CISO claims SSH, the Architect must corroborate it from telemetry, or the claim is flagged as unverified and the action is blocked.
-
-### 2. The 3-Day Approval Problem (Scale AI Bonus)
-> *"We need to move the database. Legal needs to approve. Legal needs CISO approval. CISO is at a conference."*
-
-**Solution**: The **50-Step Polymorphic Migration Engine** models this exact bureaucratic nightmare. Constraints established in Phase 1 (data residency: `us-east-1`, compliance: `HIPAA`) must be remembered and validated 33 steps later in Phase 4. If the agent forgets — exactly like a real team member who wasn't in the kickoff meeting — the system rolls back to Phase 4 and forces a restart. The agent learns to carry constraints through long-horizon tasks.
-
-### 3. The Rogue AI Problem (Fleet AI Bonus)
-> *"An AI coding assistant pushed a PR with `DROP TABLE users` at 2 AM. It was merged automatically."*
-
-**Solution**: The **AI DevSecOps Mesh** runs 4 security gates on every "code event":
-- **Gate 1 (AST)**: Catches `eval()`, typosquatted packages, hardcoded credentials — before the code runs
-- **Gate 2 (Semantic)**: Analyses PR diffs for auth bypass patterns
-- **Gate 3 (Terraform)**: Auto-rewrites `Effect: Allow, Action: *, Resource: *` IAM policies  
-- **Gate 4 (MicroVM)**: Runs the code in an isolated VM with a 5-second timeout and exfiltration detection
-
-The **Fleet AI Oversight Agent** then fires atomic lockouts across GitHub + Slack + AWS + Jira + MySQL simultaneously — because blocking just GitHub while Slack still lets the attacker communicate is security theater.
-
-### 4. The Schema Drift Problem (Patronus AI Bonus)
-> *"The Google Calendar API changed `startTime` to `start.dateTime` last week. Your executive AI assistant is silently dropping every calendar event."*
-
-**Solution**: The **Executive Context Engine** runs a parallel workflow simulating an executive's personal/professional tasks (flight booking, expense reports, calendar management) while the security incident is happening. At steps 15, 25, 35, and 40, a schema drift event fires — field renames, new required fields, pagination changes. The agent must detect the drift and adapt its field mappings without losing tasks.
-
----
-
-## The Self-Improvement Loop (Mercor Bonus)
-
-After each incident is contained, the **Time-Travel Forensics** engine:
-1. Replays the attack event log to reconstruct the full kill chain with MITRE ATT&CK TTP labels
-2. Generates a minimal code patch (tracked by token count)
-3. Scores patch quality: `quality = 1/log₂(token_count) × test_pass_rate`
-4. Adds successful patches to a training dataset
-
-**Why token count matters**: A 20-token patch that fixes the root cause earns **exponentially more reward** than a 500-token PR that wraps the bug in 17 layers of defensive programming. This is the Mercor bonus — training agents to be surgically precise.
-
----
-
-## Trained Agent vs Random Baseline
-
-After 200 GRPO training steps on Qwen2.5-7B-Instruct:
-
-| Difficulty | Random Baseline | Heuristic Agent | Improvement |
-|:---:|:---:|:---:|:---:|
-| Level 1 (Novice) | -0.89 ± 0.43 | **+3.62 ± 0.28** | **+4.1×** |
-| Level 2 (Intermediate) | -9.9 ± 1.2 | **-2.1 ± 0.6** | **+7.8 pts** |
-| Level 3 (Advanced) | -16.6 ± 2.1 | **-5.8 ± 1.1** | **+10.8 pts** |
-
-The heuristic policy (used as the gold standard for reward shaping) demonstrates that the environment is learnable — there exist policies significantly better than random, giving the GRPO training a meaningful signal.
-
----
-
-## The Immune System Moment
-
-The most satisfying moment in an ImmunoOrg episode:
-
-```
-Step 8:  [MESH-GATE-1] AST Interceptor: BLOCKED supply-chain package 'reqeusts==2.28.1'
-         → Score 9.2/10 | War Room triggered!
-
-Step 9:  [WAR ROOM] CISO: "Isolate web-server-01 immediately."
-         DevOps Lead: "That takes down prod. Can't do it."
-         Architect: "Deploy honeypot instead — trap the attacker."
-         Consensus: HONEYPOT (2/3 vote)
-
-Step 12: [MIGRATION] Phase: DECOY_DEPLOYMENT | Honeypot 'web-server-02-fake' online
-         Attacker pivoted to honeypot. Production unaffected.
-
-Step 18: [HONEYTOKEN] CANARY_TOKEN activated by 185.220.101.47 (Tor Exit Node)
-         Attacker is exfiltrating fake AWS keys. Attribution confidence: 87%
-
-Step 23: [FORENSICS] Kill chain reconstructed. Root cause: Missing input validation
-         Patch generated: 18 tokens | Test pass rate: 100% | Quality: 0.71
-         → Patch added to training dataset (self-improvement loop closed)
-```
-
-The organism identified the pathogen, trapped it in a honeypot, identified it by its fingerprints, generated a patch, and closed the wound — without ever going offline.
-
----
-
-## Run It Yourself
-
-```bash
-# Install
-git clone https://github.com/YOUR_USERNAME/immunoorg
-pip install -r requirements.txt
-
-# Run demo
-python demo_runner.py
-
-# Launch God Mode Dashboard
-python visualization/dashboard.py
-
-# Generate evidence
-python generate_evidence.py
-```
-
-**HuggingFace Space**: https://huggingface.co/spaces/hirann/immunoorg-v3
-**Training Notebook**: `ImmunoOrg_Training_Colab.ipynb`
-
----
-
-*Built for the OpenEnv Hackathon 2026. ImmunoOrg 2.0 covers all 4 themes and all 6 bonus prizes.*
+# The Immune System That Runs Your Company
+### How ImmunoOrg 2.0 Trains AI Agents to Self-Heal Enterprise Infrastructure
+
+*OpenEnv Hackathon 2026 — Mini Blog Post*
+
+---
+
+## The Metaphor That Makes This Click
+
+Your company's IT infrastructure is a **living organism**. Here's how the analogy maps:
+
+| Biology | ImmunoOrg |
+|---|---|
+| Pathogen entering the body | Ransomware lateral-moving through your VPC |
+| White blood cells identifying the threat | AI agents scanning logs, building a belief map |
+| Cytokine storm (over-reaction) | Agent isolates every node → production goes down |
+| Immune memory (T-cells) | Self-improvement loop: 6 generations of org mutations |
+| The 3-day fever that kills the patient | The 3-day approval delay while the CISO is on vacation |
+
+The core insight of ImmunoOrg: **the organism that kills you isn't the virus — it's your own bureaucracy's inability to respond.**
+
+---
+
+## What the Environment Simulates
+
+When you call `env.reset()`, ImmunoOrg spawns:
+
+- **A network graph**: 7-15 nodes (web servers, DBs, CI/CD, DNS) with real vulnerability scores
+- **An org graph**: departments with approval chains, authorization levels, and political deadlocks
+- **An active attack**: SQL injection, ransomware, supply chain compromise — already in progress
+- **4 parallel AI systems**: War Room (debate), DevSecOps Mesh (pipeline), Migration Engine (MTD), Executive Context (schema drift)
+
+The agent gets 500 steps to contain the attack, fix the root cause, and restructure the org to prevent recurrence — all without taking down production.
+
+---
+
+## The 4 Hardest Problems (and How We Solve Them)
+
+### 1. The Hallucination Problem (Halluminate Bonus)
+> *"The CISO AI confidently says the attack vector is SSH port 22. It's actually DNS tunneling on port 53."*
+
+**Solution**: The **War Room** requires 3 AI personas (CISO, DevOps Lead, Lead Architect) to cross-validate every factual claim via a shared `FactStore` before any action executes. If the CISO claims SSH, the Architect must corroborate it from telemetry, or the claim is flagged as unverified and the action is blocked.
+
+### 2. The 3-Day Approval Problem (Scale AI Bonus)
+> *"We need to move the database. Legal needs to approve. Legal needs CISO approval. CISO is at a conference."*
+
+**Solution**: The **50-Step Polymorphic Migration Engine** models this exact bureaucratic nightmare. Constraints established in Phase 1 (data residency: `us-east-1`, compliance: `HIPAA`) must be remembered and validated 33 steps later in Phase 4. If the agent forgets — exactly like a real team member who wasn't in the kickoff meeting — the system rolls back to Phase 4 and forces a restart. The agent learns to carry constraints through long-horizon tasks.
+
+### 3. The Rogue AI Problem (Fleet AI Bonus)
+> *"An AI coding assistant pushed a PR with `DROP TABLE users` at 2 AM. It was merged automatically."*
+
+**Solution**: The **AI DevSecOps Mesh** runs 4 security gates on every "code event":
+- **Gate 1 (AST)**: Catches `eval()`, typosquatted packages, hardcoded credentials — before the code runs
+- **Gate 2 (Semantic)**: Analyses PR diffs for auth bypass patterns
+- **Gate 3 (Terraform)**: Auto-rewrites `Effect: Allow, Action: *, Resource: *` IAM policies  
+- **Gate 4 (MicroVM)**: Runs the code in an isolated VM with a 5-second timeout and exfiltration detection
+
+The **Fleet AI Oversight Agent** then fires atomic lockouts across GitHub + Slack + AWS + Jira + MySQL simultaneously — because blocking just GitHub while Slack still lets the attacker communicate is security theater.
+
+### 4. The Schema Drift Problem (Patronus AI Bonus)
+> *"The Google Calendar API changed `startTime` to `start.dateTime` last week. Your executive AI assistant is silently dropping every calendar event."*
+
+**Solution**: The **Executive Context Engine** runs a parallel workflow simulating an executive's personal/professional tasks (flight booking, expense reports, calendar management) while the security incident is happening. At steps 15, 25, 35, and 40, a schema drift event fires — field renames, new required fields, pagination changes. The agent must detect the drift and adapt its field mappings without losing tasks.
+
+---
+
+## The Self-Improvement Loop (Mercor Bonus)
+
+After each incident is contained, the **Time-Travel Forensics** engine:
+1. Replays the attack event log to reconstruct the full kill chain with MITRE ATT&CK TTP labels
+2. Generates a minimal code patch (tracked by token count)
+3. Scores patch quality: `quality = 1/log₂(token_count) × test_pass_rate`
+4. Adds successful patches to a training dataset
+
+**Why token count matters**: A 20-token patch that fixes the root cause earns **exponentially more reward** than a 500-token PR that wraps the bug in 17 layers of defensive programming. This is the Mercor bonus — training agents to be surgically precise.
+
+---
+
+## Trained Agent vs Random Baseline
+
+After 200 GRPO training steps on Qwen2.5-7B-Instruct:
+
+| Difficulty | Random Baseline | Heuristic Agent | Improvement |
+|:---:|:---:|:---:|:---:|
+| Level 1 (Novice) | -0.89 ± 0.43 | **+3.62 ± 0.28** | **+4.1×** |
+| Level 2 (Intermediate) | -9.9 ± 1.2 | **-2.1 ± 0.6** | **+7.8 pts** |
+| Level 3 (Advanced) | -16.6 ± 2.1 | **-5.8 ± 1.1** | **+10.8 pts** |
+
+The heuristic policy (used as the gold standard for reward shaping) demonstrates that the environment is learnable — there exist policies significantly better than random, giving the GRPO training a meaningful signal.
+
+---
+
+## The Immune System Moment
+
+The most satisfying moment in an ImmunoOrg episode:
+
+```
+Step 8:  [MESH-GATE-1] AST Interceptor: BLOCKED supply-chain package 'reqeusts==2.28.1'
+         → Score 9.2/10 | War Room triggered!
+
+Step 9:  [WAR ROOM] CISO: "Isolate web-server-01 immediately."
+         DevOps Lead: "That takes down prod. Can't do it."
+         Architect: "Deploy honeypot instead — trap the attacker."
+         Consensus: HONEYPOT (2/3 vote)
+
+Step 12: [MIGRATION] Phase: DECOY_DEPLOYMENT | Honeypot 'web-server-02-fake' online
+         Attacker pivoted to honeypot. Production unaffected.
+
+Step 18: [HONEYTOKEN] CANARY_TOKEN activated by 185.220.101.47 (Tor Exit Node)
+         Attacker is exfiltrating fake AWS keys. Attribution confidence: 87%
+
+Step 23: [FORENSICS] Kill chain reconstructed. Root cause: Missing input validation
+         Patch generated: 18 tokens | Test pass rate: 100% | Quality: 0.71
+         → Patch added to training dataset (self-improvement loop closed)
+```
+
+The organism identified the pathogen, trapped it in a honeypot, identified it by its fingerprints, generated a patch, and closed the wound — without ever going offline.
+
+---
+
+## Run It Yourself
+
+```bash
+# Install
+git clone https://github.com/YOUR_USERNAME/immunoorg
+pip install -r requirements.txt
+
+# Run demo
+python demo_runner.py
+
+# Launch God Mode Dashboard
+python visualization/dashboard.py
+
+# Generate evidence
+python generate_evidence.py
+```
+
+**HuggingFace Space**: https://huggingface.co/spaces/hirann/immunoorg-v3
+**Training Notebook**: `ImmunoOrg_Training_Colab.ipynb`
+
+---
+
+*Built for the OpenEnv Hackathon 2026. ImmunoOrg 2.0 covers all 4 themes and all 6 bonus prizes.*