Resources & Guides

Analysis of DeepSeek AI's computational efficiency innovations and why its security risks, censorship issues, and compliance concerns make it unsuitable for healthcare, government, and other regulated industries in the United States.

Discover the challenges of finding compliant AI solutions in regulated industries like healthcare and government, and learn how Hathr.AI offers secure, HIPAA-compliant alternatives to mainstream platforms like ChatGPT.

Learn how to safeguard patient conversations with HIPAA compliant AI, ensuring privacy, security, and trust in healthcare communication.

Explore the implications of the ToolShell attacks on SharePoint security and why secure infrastructure is crucial for protecting sensitive AI workloads in healthcare and government.

Discover why Google's Gemini AI update poses privacy risks for healthcare and enterprise, and explore the need for HIPAA-compliant AI alternatives like Hathr.AI.

Discover how Hathr.AI provides private and secure AI solutions for government and contractors, ensuring compliance with NIST standards and protecting sensitive information.

OpenAI turning into a For-Profit doubles down on its incentives to mine and use it's user's data and increases privacy and security risks for consumers. OpenAI is (openly) becoming a For-Profit entity so it can more easily raise capital (reference it's deal with SoftBank) and avoid regulatory pressure to realize its desire to raise capital and continue to rapidly grow.

Insurers are now using AI to deny Medicare claims at scale. Learn how HIPAA-compliant AI tools help healthcare teams write stronger appeal letters, automate denial management, and reverse more Medicare redeterminations — compliantly and in a fraction of the time.

CodeWall's autonomous offensive AI agent compromised McKinsey's internal AI platform, Lilli, in less than two hours. The weapon of choice wasn't a zero-day or a novel attack vector — it was SQL injection, one of the oldest vulnerability classes in software. The breach exposed 46.5 million chat messages, 728,000 files, and 57,000 user accounts, but the real danger went far deeper than stolen data.

Hathr.AI has been approved to join the Military-Civilian Health Ecosystem administered by the National Institute for Defense Health Cooperation—the only AI healthcare platform to achieve this status.

Is Claude Console Ever HIPAA Compliant? The direct answer: No. Claude Console is not HIPAA compliant and requires a company like Hathr.AI to provide a HIPAA Compliant Claude Console. Anthropic's official BAA documentation and Technical Documentation states explicitly that the Business Associate Agreement does not cover Workbench and Console—full stop. This applies even if your organization has a signed BAA with Anthropic. Using Console with protected health information (PHI) creates HIPAA liability regardless of your enterprise contract status. If you're a developer, IT director, or compliance officer evaluating AI tools for a healthcare environment, you may have noticed that Claude Console is a powerful interface for testing and managing Anthropic's API. It's intuitive, feature-rich, and—for non-healthcare applications—genuinely impressive. But the moment patient data enters the picture, a critical question arises: is Claude Console HIPAA compliant? The short answer is unambiguous. Anthropic's own BAA documentation explicitly excludes Console from HIPAA coverage. Not "limited coverage." Not "coverage with conditions." Excluded. And as you'll see in this article, a signed BAA with Anthropic does not change that—it cannot change that, because Console falls entirely outside the scope of what the agreement covers. This guide is for healthcare teams who've been wondering whether their Console usage is compliant, developers testing healthcare workflows in Console, and compliance officers doing due diligence on AI tool procurement. We'll break down exactly what Anthropic's BAA covers, the specific risks of using Console with PHI, the "signed BAA" misconception that trips up healthcare teams, and what truly HIPAA-compliant alternatives look like.

The Hospice Special Focus Program was paused by CMS in February 2025 and remains under review in 2026. Here's the current status, the ongoing audit environment, and what hospices should still be doing.

Hospice clinicians are using ChatGPT for documentation — and exposing PHI in the process. Here's why consumer AI is not safe for hospice work and what a HIPAA-compliant alternative actually looks like.

Claude isn't HIPAA compliant by default. This guide breaks down which Anthropic plans include a BAA, what's excluded, what's changed, and the fastest compliant path to Claude for small and mid-size teams.

ChatGPT Free, Plus, and Team don't include a BAA — using them with PHI is a violation. This guide covers OpenAI's enterprise BAA paths, the three mistakes that get practices in trouble, and the fastest compliant alternative.

A BastionGPT clinical advisor published a comparison of generative AI chat vs RAG systems — and described relying on Hathr for most clinical outputs. What her analysis means for accuracy, flexibility, and choosing a HIPAA compliant AI.

CompliantChatGPT anonymizes PHI before routing it to commercial AI models. Hathr.AI keeps everything inside AWS GovCloud. A 2026 comparison of the two architectures — and what each means when something goes wrong.

A criteria-driven comparison of the leading HIPAA-compliant AI tools and software in 2026 — covering BAA scope, where PHI is processed, data retention, SOC 2, audit logging, and EHR integration.

Dementia hospice eligibility explained: the FAST 7a threshold, the comorbidity requirement, the sequential-staging caveat, and how to document a terminal prognosis.

COPD hospice eligibility: the dyspnea-at-rest threshold, the progression evidence reviewers expect, and the supportive labs that build the terminal picture.

The Functional Assessment Staging Tool stage by stage: what each level means, why 7a is the hospice line, and how to document out-of-order progression.

Heart failure hospice eligibility: the NYHA Class IV threshold, what optimally treated means, the EF-20% marker, and the findings that build the terminal picture.

What Medicare requires in the hospice record: certification and narrative, face-to-face rules, functional-decline tracking, and building an audit-ready chart.