Secure every agent action — from install to runtime. In code, not prompts.
Cisco, Snyk, and Caterpillar all scan before installation — then walk away. OpenClaw has 140K stars and gives agents full computer control with zero runtime governance. Prompt-based guardrails can be bypassed by prompt injection. You need enforcement in code, outside the LLM context window entirely.
Static scanners that check at install time, then stop watching. No runtime enforcement. No audit trail. No skill chaining controls. Lateral data movement between tools goes undetected. You're left hoping your prompts hold.
"Telling an agent 'don't touch the stove' is a natural-language guardrail that can be circumvented. AgentWard puts a physical lock on the stove — code-level enforcement that prompt injection can't override."
Every enterprise security workflow maps to five CLI commands. Run them individually or let agentward init wire the whole chain in one shot.
Catches load-time attack vectors — unsafe YAML constructs, pickle/marshal deserialization, and executable hooks that fire before runtime protection can help. Built to flag ClawHavoc-style supply chain attacks embedded in skill metadata.
Auto-generates a suggested policy YAML from scan findings. Review and tune resource permissions, chaining rules, approval gates, and data classification boundaries.
Runtime proxy intercepts every tool call. Blocks unauthorized access, redacts PII, enforces skill-chain depth limits, and requires human approval for sensitive operations.
Fires adversarial probes through the live proxy to prove policy catches what the scanner flagged. CI-ready with exit codes — fails the build if enforcement gaps exist.
JSONL + RFC 5424 syslog feeds into your SIEM — Splunk, Wazuh, Graylog, ELK, Sentinel. Continuous visibility into every blocked and allowed tool call.
This lifecycle maps directly to enterprise security workflows — from initial risk assessment through continuous enforcement to regulatory audit trails that satisfy SOC 2, HIPAA, and PCI-DSS auditors.
AgentWard scans every tool your agent can reach, risk-rates them, detects dangerous skill chains (lateral data movement between tools), generates a policy, and wires enforcement — all in seconds.
Python 3.11+ · No API key required · Everything runs locally · Mac + Linux
Every audit event is written in RFC 5424 syslog format alongside the JSON Lines log — no configuration needed. Compatible with any SIEM or log shipper that reads standard syslog.
5 seconds to see what your AI agent's tools can actually do.