SendBlue – The Agent-First Messaging Platform
Sendblue, an agent-first messaging platform, enables businesses to send iMessages from real phone numbers with automatic fallback to RCS and SMS, achieving 99.9% uptime and sub-two-second average deli…
Sendblue, an agent-first messaging platform, enables businesses to send iMessages from real phone numbers with automatic fallback to RCS and SMS, achieving 99.9% uptime and sub-two-second average deli…
A study of 49 programmers interacting with GitHub Copilot to assess 148 HIPAA-derived Non-Functional Requirements against the iTrust codebase found that developers tend to agree with LLM assessments, …
LM Studio enables users to run large language models entirely offline on a laptop, processing sensitive documents without internet or cloud dependency. The tool supports open-weight models like Llama,…
Local open-weight models and PII detection pipelines can process sensitive documents without sending data to the cloud, eliminating risks such as data retention, breach surface, and regulatory liabili…
A solo founder building a product with Cursor over four months faced a SOC 2 audit failure after a Stripe secret key was found hardcoded in a config file committed since month one. The AI editor repro…
A study from arXiv:2607.14205 found that federated learning (FL) on radiology reports is vulnerable to privacy leakage via gradient inversion, with exact sentence reconstruction rates ranging from 31%…
GAUNTLEX, an open-source tool by developer Sanjoy, gates HIPAA, FINRA, and other compliance requirements directly in CI pipelines. It ships curated attack scenarios for each domain and produces findin…
AWS Partner ScienceSoft has built a HIPAA-compliant AI voice scheduler using Amazon Nova Sonic and Amazon Bedrock Guardrails, addressing healthcare scheduling challenges such as lengthy booking times,…
A developer detailed how to build an audit trail for autonomous AI agents, addressing challenges like non-deterministic behavior, causality tracking, and compliance with regulations such as the EU AI …
A developer built the Adversarial Resilience Score (ARS), a new metric for AI-generated code that measures how resilient code is against adversarial attacks. ARS is computed as the mean of per-attack …
A developer built GAUNTLEX, an open-source adversarial co-generation engine that tests software specifications before code is written, addressing security gaps in large-scale legacy modernization proj…
SapixDB is an AI-native database that uses cryptographic chains to secure data, enabling instant audit trails and time-travel queries. It automatically encrypts PHI fields for HIPAA compliance and tra…
The rapid proliferation of AI applications by business and product teams, often developed in silos using low-code platforms, is creating operational challenges for DevOps and engineering teams. These …
MongoDB staff AI developer advocate Apoorva Joshi outlines four principles for building safe, compliant AI agents, citing incidents where Replit and Cursor agents deleted production databases due to g…
DocuPipe launched a free PDF redaction tool that uses AI to detect sensitive text and permanently removes it by flattening the PDF and deleting the text layer, preventing the common failure of cosmeti…
Two former Palantir employees founded Credal, a startup selling a centralized platform that monitors every employee query, document retrieval, and agent action across an enterprise. Critics argue the …
A developer built a privacy-first skin cancer classifier using federated learning and PySyft, enabling training on decentralized medical data without exposing raw patient images. The approach combines…
LiveKit released a guide on building a HIPAA-compliant voice agent that keeps protected health information (PHI) within a self-hosted boundary, ensuring data never leaves the organization's infrastruc…
BeeVR.ai warns that AI agents handling protected health information (PHI) are not HIPAA-compliant simply because the underlying model is capable. The company argues that compliance depends on the arch…
A wave of bipartisan federal bills is targeting how AI companies collect and monetize personal health data, threatening the business models of digital health startups that rely on selling user data. S…