貼上一封去識別化的可疑付款或「供應商改銀行帳號」郵件，幾秒內拿到一頁式決策卡：建議處置、關鍵理由、該獨立查證的項目。僅評估企業對企業（B2B）的付款詐騙——不是泛用的釣魚 / 品牌仿冒偵測工具，跟付款無關的內容會回覆「非本工具評估範圍」，不會給出安全判定。
Paste the client's message and your SOW. Get a scope verdict, the dollar cost of saying yes, and three ready-to-send replies in 60 seconds.
Hands-on prompt engineering and LLM evaluation. Built around a diagnose-then-ship loop: forensic transcript critique ▎ that names the exact failure mode, paired with a fixer that produces complete, deployment-ready rewrites — not ▎ vague advice.
Built around the part everyone gets wrong: when a key leaks you rotate it first — it's compromised the second it hits a remote, and bots scan public pushes within seconds. Scans staged changes, the working tree, and git history for provider key shapes, private keys, committed .env/credential files, and hardcoded creds — tuned for signal over noise so placeholders and $ENV refs don't cry wolf — then walks rotate → purge-from-history → move-to-env → add-a-pre-commit-hook, in the right order.
Paste your product or service description and this agent builds a complete outreach sequence. Finds the strongest hook for cold prospects. Generates a 5-step sequence (LinkedIn DM, email, 3 follow-ups) with personalization slots you fill in 30 seconds. Sets send timing by timezone and industry. Includes objection-handling for common replies. Like this tool? ExpertPanel gives you a scored review with specific improvement suggestions from 3 AI experts.
Write a complete 5-email cold outreach sequence — hook, proof, insight, direct ask, break-up — with 3 subject line variants per email, personalisation variables, send cadence, and deliverability checklist.
Your agent reads user-pasted text, web pages, retrieved docs, or tool output — and you can't tell which sentence an attacker wrote. A one-line "ignore malicious instructions" never held. This delivers a layered injection-defense design: threat model, attack-surface map, input/privilege/output defenses, canary tokens and a classifier, an adversarial red-team set with before/after, and residual risk plus an incident runbook.
Review your Merchant product CSV before submission. Get duplicate-ID, price/currency, required-field and supplied-GTIN checks, a row-linked HTML report, an editable fix queue and hashed evidence. Runs locally with Python; no paid API or account connection. Partial preflight, not Google approval.
Audit AI agents, Skills, MCP configurations, tool permissions, and coding-agent setups for prompt injection, excessive agency, credential exposure, data leakage, unsafe code execution, supply-chain risks, memory risks, missing approval controls, and runaway autonomy. Get a calibrated Security Score, Audit Confidence, evidence-backed findings, remediation steps, verification checks, and residual-risk analysis.