Insights & Updates
Security insights, tutorials, and engineering deep-dives for teams building production-ready AI applications.
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Salesloft-Drift Breach: How a Single AI Chatbot Exposed 700+ Enterprise Customers
The August 2025 Salesloft-Drift breach became one of the largest SaaS supply-chain attacks in history, affecting Cloudflare, Palo Alto Networks, Zscaler, and hundreds more.
ArtemisKit v0.2.0: Semantic Similarity, Multi-Turn Attacks, and Parallel Execution
ArtemisKit v0.2.0 brings semantic similarity matching, multi-turn attack simulations, run comparison reports, and parallel test execution. A major feature release.
EchoLeak: The Zero-Click Microsoft 365 Copilot Vulnerability That Changed AI Security
A critical vulnerability in Microsoft 365 Copilot enabled attackers to steal sensitive corporate data without any user interaction. What it means for enterprise AI security.
Recent Posts
Case Study: Testing a Healthcare AI Assistant
How a healthcare startup implemented comprehensive LLM testing for their patient-facing AI assistant, achieving HIPAA compliance and zero security incidents.
120+ Legal AI Hallucination Cases: Why Courts Are Sanctioning Lawyers for Fake Citations
Over 120 cases of AI-generated legal hallucinations have been identified since 2023, with sanctions reaching $31,100. Stanford research shows even premium legal AI tools hallucinate 17-34% of the time.
AI-Powered Fraud Surge: $12.5 Billion in Losses and the Rise of FraudGPT
Consumers lost $12.5 billion to fraud in 2025, with AI tools like FraudGPT enabling scams at unprecedented scale. What fintech and security teams need to know.
Understanding Semantic Similarity Evaluation for LLMs
Learn how semantic similarity works for LLM testing, when to use it over exact matching, and how to configure thresholds effectively in ArtemisKit.
Volkswagen Cariad: $7.5 Billion Lessons from Automotive's Biggest AI Software Failure
Volkswagen's ambitious AI-driven operating system project lost $7.5 billion over three years. What went wrong and what it teaches about AI system testing and deployment.
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