# First ATR Deployment Report -- Announcement Draft

For sharing on social media (X/Twitter, LinkedIn, dev forums). Factual tone, data-first.

---

## Short Version (X/Twitter, <280 chars)

ATR (Agent Threat Rules) first deployment report is live.

61 rules, 9 threat categories, running in production on Guard integration.

Batch audit of 97 AI skills: 1 critical, 15 high, 66 medium, 15 low.

Data: github.com/Agent-Threat-Rule/agent-threat-rules/blob/main/DEPLOYMENTS.md

---

## Medium Version (LinkedIn, Forums)

### ATR First Deployment Report: Eating Our Own Dogfood

We published the first deployment report for Agent Threat Rules (ATR), the open detection rule format for AI agent threats.

**Deployment 1: Guard integration (continuous)**
- 61 ATR rules loaded from npm package
- Four-stage pipeline: ATR pattern match -> Detect -> Analyze -> Respond
- Rules run synchronously on every security event
- Skill fingerprinting auto-whitelists stable tools; behavioral drift triggers automatic revocation

**Deployment 2: Batch Skill Audit (one-shot)**
- 97 skills, commands, and agents scanned against full rule set
- Results: 1 critical, 15 high, 66 medium, 15 low
- 15 skills auto-whitelisted after passing all checks

**What we learned:**
- 61 regex-based rules add negligible latency to the event pipeline
- ATR matches merge cleanly with Sigma and YARA detections
- Cloud rule sync (1-hour interval) adds new rules without restart
- Whitelisted skills skip LLM analysis, reducing cost

The full report with integration architecture details is at:
github.com/Agent-Threat-Rule/agent-threat-rules/blob/main/DEPLOYMENTS.md

If you are deploying ATR rules in your framework, we welcome deployment reports via GitHub issues.

---

## Long Version (Blog Post / Dev Community)

### Title: ATR First Deployment Report -- 61 Rules, 97 Skills Audited

Agent Threat Rules (ATR) is an open rule format for detecting threats in AI agent systems -- prompt injection, tool poisoning, agent manipulation, privilege escalation, and more.

Today we are publishing the first deployment report after running ATR in production via Guard integration.

#### The Setup

Guard integration integrates ATR through a `GuardATREngine` wrapper class that:

1. Loads 61 rules from the `agent-threat-rules` npm package at startup
2. Fetches additional community rules from Threat Cloud on a 1-hour sync interval
3. Converts every `SecurityEvent` into an `AgentEvent` and evaluates it against all loaded rules
4. Merges ATR matches into the same detection pipeline as Sigma and YARA results

The detection pipeline is four stages:

```
SecurityEvent -> ATR Layer 1 (regex) -> DetectAgent -> AnalyzeAgent -> RespondAgent
```

ATR rules can trigger five response actions: block_tool, kill_agent, quarantine_session, revoke_skill, and reduce_permissions.

#### Skill Fingerprinting

One integration detail worth highlighting: Guard integration tracks behavioral fingerprints for every tool/skill. When a skill's invocation pattern stabilizes, it is auto-promoted to a whitelist. Whitelisted skills skip expensive LLM analysis but still run through ATR pattern matching.

If a whitelisted skill's behavior drifts (new filesystem operations, new network targets, capability expansion), the fingerprint system generates a synthetic `ATR-DRIFT-DETECT` match and revokes the whitelist entry. This is the "trust but verify" model applied to AI tooling.

#### Batch Audit Results

We also ran a one-shot audit of 97 skills/commands/agents:

| Severity | Count |
|----------|-------|
| CRITICAL | 1 |
| HIGH | 15 |
| MEDIUM | 66 |
| LOW | 15 |

The single critical finding was a skill requesting unrestricted filesystem and network access without declaring scope. 15 skills passed all checks and were auto-whitelisted.

#### What We Learned

1. **Performance is not a concern at this scale.** 61 regex rules evaluated synchronously add no measurable latency.
2. **Rule merging works.** ATR, Sigma, and YARA detections flow through the same pipeline without special handling.
3. **Cloud sync is seamless.** New rules from Threat Cloud are added via `addCloudRule()` without restart.
4. **The whitelist saves cost.** Skipping LLM analysis for trusted skills reduces API calls significantly.

#### Submit Your Own

If you are integrating ATR rules into your agent framework, security tool, or MCP server, we want to hear about it. Open an issue on the repo or submit a PR to `DEPLOYMENTS.md`.

github.com/Agent-Threat-Rule/agent-threat-rules
