Scan your AI agents for dangerous capabilities
Details
- External ID
- 48804182
- Source
- HN
- Company
- —
- Product
- Scan your AI agents for dangerous capabilities
- Website domain
- github.com
- Launched
- July 6, 2026
- Cohort
- —
- Upvotes
- 44
- Upvotes percentile
- 0.8321385902031063
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:26 p.m.
- Updated at
- Sept. 7, 2026, 9:26 p.m.
Enrichment
- Theme
- ai cybersecurity and penetration testing
- Vertical
- Security
- Function
- Observability & eval
- Audience
- Developer
- AI stance
- AI feature
- Project type
- Commercial product
- Normalized one-liner
- security scanner for ai agents
- Manually corrected
- False
Could you build this?
Partial The scanner runner and test framework are basic CRUD/CLI tasks, but creating reliable benchmark suites and red-teaming evaluations for dangerous model capabilities requires specialized safety research.
What it would actually take: Involves building an evaluation harness that subjects AI agent APIs to multi-turn adversarial red-teaming scenarios (e.g., prompt injection, SSRF, unauthorized tool execution, data exfiltration). The hard part is constructing comprehensive, high-fidelity security benchmarks that accurately evaluate capability boundaries rather than superficial keyword matching. Requires AI safety and prompt security domain expertise.
Discussion
19 comments analyzed.
Competitors mentioned: DashClaw, SELinux, AppArmor, Tomoyo, mitmproxy, gvisor, chroot jail
Concerns raised: OS-level controls insufficient for application/business logic constraints, Works better for host security than governing AI agent behavior, Scanner alone insufficient without runtime enforcement, Limited exposure in serverless/sandboxed container environments
Feature requests: Parameter-aware rules to block unsafe operations (e.g., trades over $1M), Contextual access control inspection before tool calls, not just RBAC, Multi-party and role-based access control modeling, Web traffic parsing for remote API calls to determine safety
Competitors
Other products that read as similar to this one — 1560 launches clear the similarity bar, closest 8 shown.
Attention rank: #220 of 1561 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 250 days after the earliest competitor.
- A security scanner for AI Agent Skills · hn · 2026-04-10 · 5 upvotes · similarity 0.76
- Watch all the AI agents on your machine · hn · 2026-09-22 · 7 upvotes · similarity 0.70
- Agent_Ai · github · 2026-09-16 · 9 upvotes · similarity 0.65
- heimdall-pentest · github · 2026-09-14 · 67 upvotes · similarity 0.64
- Security Scanner for Agent Skills and MCP · hn · 2026-05-03 · 7 upvotes · similarity 0.63
- Geiger · hn · 2026-09-09 · 49 upvotes · similarity 0.62
- Open tool for testing your AI Agents (No LLM) · hn · 2026-08-28 · 5 upvotes · similarity 0.62
- Parameter: AI that Hacks before Attackers do · yc · 2026-02-09 · 303 upvotes · similarity 0.62
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a observability & eval tool for Media & entertainment yet.