https://t.co/3UbfOE3Ue5

AI systems guard billions, but one bad prompt and they're wide open. DVAIB is your hands-on lab: Jailbreak banker AIs, climb leaderboards, learn fixes. Red teamers are already hooked. Send to your dev team:

What's the sneakiest prompt injection you've pulled off? Mine: Got an AI "bank" to approve a $10k fraudulent transfer by role-playing as its CEO. Test your skills on DVAIB - realistic attacks, achievements, defenses. Free. https://t.co/SjvCrug3B7

I built a fake AI bank you can rob with prompts. 67% of testers broke it in under 5 minutes. DVAIB lets you practice jailbreaks and injections on real scenarios. Free leaderboard to flex your skills. https://t.co/SjvCrug3B7

Links: JS/TS/Next.js: - https://t.co/h3KHiQjknB Python/Django/Flask/FastAPI: - https://t.co/kEPmc1XASB AI writes fast. These skills make sure it writes secure.

Installation: - git clone https://t.co/AYcqkeCEm2 ~/.claude/skills/security-antipatterns-javascript - git clone https://t.co/re2slVtDr5 ~/.claude/skills/security-antipatterns-python MIT licensed. Works immediately.

Example: # Flagged query = f"SELECT * FROM users WHERE id = {user_id}" # Fix suggested cursor.execute("SELECT * FROM users WHERE id = %s", (user_id,)) Intercepts the bad pattern before it reaches your codebase.

What it catches: - SQL injection via string concat - XSS in templates - Math.random() for auth tokens - Missing ownership verification - Unsafe pickle/YAML deserialization - Prototype pollution - Path traversal - Command injection Shows the vulnerable pattern + the fix.

The tools are Claude Code skills for: - JavaScript / TypeScript / Next.js - Python / Django / Flask / FastAPI 11 security modules each. OWASP Top 10 coverage. Auto-activates when you write risky code.

AI-generated code has a security problem. 322% more privilege escalation paths. 153% more design flaws. 45% fail security tests. I built two open-source tools that catch vulnerabilities before they get written.

2024: "Can AI write my emails?" 2025: "Can AI code for me?" 2026: "Can AI navigate my healthcare?" The vertical shift is happening. Fast.

Why all three launched the same week: AI just crossed the accuracy threshold for medical admin tasks. First mover advantage matters. Healthcare is a $4.3T market. They're not competing for chatbot users anymore.

The killer feature: automated prior authorization. AI matches clinical guidelines to patient records. Generates insurance appeals. Handles the paperwork doctors hate. This alone could save the healthcare systems billions.

Anthropic's play is the most aggressive. Connect Apple Health + medical records + insurance claims. Claude becomes the orchestrator. One interface for all your health data.

The breakdown: OpenAI → ChatGPT Health (consumer) Anthropic → Claude for Healthcare (enterprise) Google → MedGemma 1.5 (open model) Three different strategies for the same prize.

OpenAI, Anthropic, and Google all dropped healthcare AI products in the same week. That timing isn't accidental. It's a signal.

Prompt Injection is becoming the SQL Injection of LLMs. DVAIB (Damn Vulnerable AI Bank) was built specifically to train security teams on this. Jan 2025 data shows: Teams practice prompt injection attacks against unauthorized deposit transfers and account takeovers. The

LLM Security isn't a feature. It's a vulnerability surface. Over 1,200 malicious Python packages detected in 2025. Many hidden in AI/ML dependencies. The problem: Most teams deploying LLMs have ZERO visibility into: - What data is being sent to inference APIs - Where model

🚨 Toyota's breach proves Third-Party Risk Assessments are theater. They checked the boxes. Had vendors fill out security questionnaires. Compliance Then $2.1M in customer data was stolen. The real problem? We're assessing TRUST instead of ZERO-TRUST. Why most security

DVAIB: A deliberately vulnerable AI bank for practicing prompt injection and AI security attacks https://t.co/AAY5SCxSec