Open Source Trust Needs a Lifecycle
CISA's new guidance treats open source security as a lifecycle practice. The practical record connects inventory, vulnerability response, and release review.
Read post →Email Security & Privacy Blog
On-device email analysis, phishing detection, and digital safety insights from Veilsort.
A Risk-Prioritized Patch Queue Belongs in Email Safety
CISA added two actively exploited vulnerabilities to its KEV catalog on July 27, 2026. Why email safety includes a risk-prioritized patch queue, not only message inspection.
Read post →When Viewing an Email Is the Attack
CISA's July 23 advisory describes a campaign in which a vulnerable webmail client can be compromised when a user merely views a malicious message.
Read post →July 2026 Phishing Trends: AI-Powered Scams and How to Spot Them
The latest phishing attacks use AI to generate convincing emails. Here's what the data shows and how on-device detection helps.
Read post →Apple Intelligence in iOS 26: What It Means for On-Device Email Security
Apple's FoundationModels framework brings on-device AI to iOS 26. Here's how it transforms email security analysis — and why zero-network architecture matters more than ever.
Read post →Why On-Device Email Analysis Protects Your Privacy
Most email analysis tools send your messages to cloud servers for processing. Here is why keeping email analysis on-device — using Apple Foundation Models — is a fundamentally more private approach to detecting scams and phishing.
Read post →How On-Device AI Analyzes Your Emails: A Technical Overview
When you share a suspicious email with Veilsort, a fixed multi-stage pipeline runs entirely on your iPhone — PII masking, optional chunking, Apple Foundation Models inference, and a four-card structured result. Here is how each stage actually works, and what it does and does not do.
Read post →Privacy by Architecture — How Veilsort Guarantees Email Security by Design
Privacy is not a feature you add after the fact — it is an architectural commitment that must be baked in from day one. Veilsort's on-device, no-network architecture means your emails never have the opportunity to be exposed to a third party.
Read post →Veilsort's First Month: What Early Users Told Us
Veilsort is in pre-launch validation on TestFlight. Before the public App Store launch, we are testing the things that actually matter to users — and we will not publish accuracy numbers, tester counts, or testimonials until that validation is complete.
Read post →The Zero-Accounts Philosophy — Why Veilsort Requires No Login
Every app wants you to create an account. Veilsort does not. Here is why email analysis should work without your email address, your password, or your data being someone else's asset.
Read post →Email Security Without the Cloud: A New Paradigm
Most email security tools analyze your messages on cloud servers — creating new privacy risks while claiming to protect you. Here is why analytics-free, on-device analysis is a fundamentally different category of security tool.
Read post →Privacy by Architecture: Why "No Network" Is a Security Feature
Most apps promise privacy in their policies. Veilsort delivers it through architecture — your emails never have the opportunity to be intercepted because they never leave your device.
Read post →Phishing Detection On-Device: How It Works and Why It Matters
Phishing remains the most common cyberattack vector, accounting for over 90% of data breaches according to Verizon's 2024 DBIR. Here is how on-device AI can help you reason about phishing emails before you click — without sending your messages to a server.
Read post →The Hidden Cost of Cloud Email Analysis: Your Privacy
Cloud-based email scanning services seem convenient, but they come with privacy tradeoffs that most users never see. Here is what actually happens to your emails when they leave your device.
Read post →Five Email Red Flags You Should Never Ignore
From urgency manipulation to domain spoofing, these are the signals that distinguish legitimate emails from phishing attempts — and how Veilsort flags them automatically during on-device analysis.
Read post →Apple Intelligence On-Device: How FoundationModels Power Private Analysis
A technical deep-dive into Apple's Foundation Models framework and how on-device inference keeps your email analysis private by design — no servers, no cloud, no exposure.
Read post →Why Email Analysis Should Happen On Your Device, Not a Server
Every email security service wants you to route your messages through their cloud. Here is why on-device analysis is not just better for privacy — it is the only architecture that preserves your data sovereignty.
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