Blog
We write about policy engines, approval queues, trust graduation, the AI execution security category, and the engineering behind the DataVibe gateway.
AI governance
The EU AI Act's GPAI and high-risk system obligations are live. General-purpose AI requirements took effect August 2025; first enforcement assessments began Q1 2026. Fines run to €30 million or 6% of global revenue. This is the practical compliance guide for B2B SaaS teams.
Kshitij Bhatt · May 25, 2026 · 11 min read
AI governance
Guardrails validates LLM output in-process. DataVibe intercepts AI outbound before it reaches a customer. They're not competitors — they solve adjacent problems. Here's the direct comparison: what each one does, where each one wins, and the failure mode each one leaves uncovered.
Kshitij Bhatt · May 25, 2026 · 9 min read
AI governance
LangSmith shows you what your LLM did. DataVibe prevents your LLM from doing the wrong thing in the first place. If a hallucinated pricing claim is in your LangSmith trace, it already reached your customer. Here's the architectural difference and when you need each.
Kshitij Bhatt · May 22, 2026 · 8 min read
Engineering
Most teams either skip human review entirely (risk) or build a bespoke approval UI that takes 6 weeks. Neither is right. This is the practical guide to wiring human oversight into AI outbound: the components you need, the code to add, and how to scale review as AI volume grows.
Kshitij Bhatt · May 20, 2026 · 10 min read
AI security
Courts are increasingly treating AI-generated pricing claims as binding offers. A hallucinated discount in a prospect's inbox isn't an obvious error anymore — it's a potential contract. Here are the 5 hallucination patterns that damage sales deals, and the deterministic policy rules that catch each one.
Kshitij Bhatt · May 18, 2026 · 9 min read
AI security
LangSmith, Langfuse, Arize, Helicone — the observability market raised $800M telling you to watch your AI. Watching is retrospective. Once the hallucinated discount reached the prospect, no trace entry can un-send it. This is why production AI safety requires interception, not observation.
Kshitij Bhatt · May 15, 2026 · 8 min read
AI governance
HHS OCR guidance (December 2024) confirmed: AI-generated patient communications are subject to the same HIPAA Privacy Rule requirements as human-generated ones. A chatbot that discloses PHI is a covered entity violation. This is the technical compliance guide for healthcare AI teams.
Kshitij Bhatt · May 12, 2026 · 12 min read
AI governance
FINRA Regulatory Notice 24-09 is explicit: using AI does not relieve broker-dealers of supervisory obligations. Principal pre-approval is still required for retail communications. Here's the four failure modes regulators find and the supervision architecture that satisfies examiners.
Kshitij Bhatt · May 8, 2026 · 10 min read
AI governance
AI agents don't just say things anymore — they take actions: send emails, make commitments, execute trades. The failure mode shifted from 'said something wrong' to 'did something wrong.' An AI execution security gateway is the architectural response: deterministic intercept, policy evaluation, human approval, tamper-evident audit.
Kshitij Bhatt · May 5, 2026 · 7 min read
Engineering
SOC 2 auditors have become specific about AI evidence. 'We have guardrails' is a design assertion, not operating effectiveness. You need structured logs of every AI decision — what fired, who approved, what was dispatched — with tamper evidence that auditors can independently verify. Here's what that looks like.
Kshitij Bhatt · May 2, 2026 · 9 min read
AI security
20 documented 2026 failures: hallucinated discounts now legally binding, a $109,700 court penalty for one brief, autonomous agents wiping production databases, and the EU AI Act enforcement deadline arriving in August.
Kshitij Bhatt · May 21, 2026 · 14 min read
AI security
A comprehensive analysis of 20 real-world AI incidents across chatbot contract disasters, autonomous execution failures, defamation, and algorithmic bias — and why every one had a prevention pattern at the output layer.
Kshitij Bhatt · May 21, 2026 · 12 min read
AI governance
Probabilistic outputs should not be allowed to take deterministic actions. Here is why every AI execution path needs a gate before it reaches a customer.
Kshitij Bhatt · May 1, 2026 · 6 min read
AI governance
Human-in-the-loop is the safe default. But every safety system needs a path to trust. Here's how we think about graduating action types out of the approval queue.
Kshitij Bhatt · Apr 22, 2026 · 8 min read
Product
A walkthrough of the deterministic rules DataVibe runs on every outbound payload — pricing claims, competitor mentions, tone, attachments, and more.
Kshitij Bhatt · Apr 10, 2026 · 5 min read
Product
We're repositioning DataVibe as the runtime safety layer between AI and the customer. Here is what the platform does and why the pivot was necessary.
Kshitij Bhatt · Mar 28, 2026 · 4 min read