Blog, page 5
Amit's notes
My personal views only.
Automating SOC 2 evidence collection with AI and browser automation
Evidence collection is the real bottleneck in SOC 2 Type 2 audits. At Tallyfy, an AI-assisted process with Playwright browser automation collected 99 evidence items across 4 sessions, using date-first naming conventions and typed evidence categories instead of expensive compliance platforms.
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Mapping SOC 2 controls to evidence without losing your mind
SOC 2 controls do not map one-to-one with evidence items under the AICPA framework. A single control might need three pieces of evidence, and one evidence item might satisfy four controls. Managing these many-to-many relationships in spreadsheets is how compliance programs break down.
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Running your own SOC 2 pen tests with open-source tools
Most companies pay five figures annually for penetration testing they could run themselves. Open-source scanners like Nuclei, testssl.sh, and nmap cover the OWASP Top 10, generate auditor-ready reports, and run monthly on a cron job for zero cost.
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Sharing SOC 2 audit assets with auditors using Google Drive
Your SOC 2 compliance repository is where the real work happens. Google Drive is the read-only mirror where auditors browse evidence for 67 controls and 31 policies without touching your source of truth.
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SOC 2 and HIPAA overlap for SaaS companies
If you already have SOC 2 Type 2, you have done roughly 60-70% of the work needed for HIPAA compliance. The overlap in access controls, encryption, audit logging, and incident response is large. Here is where the frameworks share ground and what HIPAA adds that SOC 2 does not address.
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SOC 2 attestation vs certification and why the distinction matters legally
SOC 2 is not a certification. It is an attestation report issued by a licensed CPA firm expressing a professional opinion about your controls under AICPA standards. Calling it a certification on your website or in sales materials is not just wrong, it can create real legal exposure for your company.
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SOC 2 policies as code: markdown, version control, and automated PDF generation
Word documents fail at compliance. We manage 31 SOC 2 policies as markdown files in a Git repository with YAML frontmatter, automated version bumps, and WeasyPrint PDF generation. The auditors get professional PDFs. We get a sane workflow.
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SOC 2 risk assessment with AI: 42 risks in structured YAML
A SOC 2 risk assessment requires every risk to have an ID, description, category, likelihood, impact, and mitigating controls. Most companies track this in sprawling spreadsheets. At Tallyfy, we maintain 42 risks in structured YAML files that satisfy the AICPA Trust Services Criteria.
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SOC 2 Type 1 vs Type 2 and why Type 2 is where AI automation matters
SOC 2 Type 1 proves your controls exist on paper. Type 2 proves they actually worked over months of real operation under AICPA standards. Most enterprise buyers demand Type 2, and the evidence collection grind is where AI-assisted automation delivers real returns.
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SOC 2 vendor management when you cannot get their SOC 2 report
Not every vendor will hand over their SOC 2 report. Some gate it behind enterprise tiers, some do not have one, and some just ignore the request. Your auditor still expects you to manage vendor risk. Here is the workaround that actually satisfies the CC9.2 criteria.
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SOC 2 vs ISO 27001 for startups and mid-size SaaS
US buyers want SOC 2 from the AICPA. European buyers want ISO 27001. The two frameworks share roughly 80% control overlap, but which one to pursue first depends on where your revenue comes from right now.
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The busywork of SOC 2 evidence collection and how to eliminate it
SOC 2 evidence collection is not intellectually hard. It is tedious, repetitive, and error-prone when done by hand. A Coalfire report found 60 percent of organizations still manage compliance with spreadsheets. The real cost is the organizational overhead of naming, tracking, and chasing sign-offs across 123 evidence items.
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Using AI for semi-manual SOC 2 evidence collection
Fully automated SOC 2 evidence collection sounds great until you try it. Half the items need human judgment. Here is how a three-phase guided workflow at Tallyfy collected 99 evidence items across 4 sessions in 4 days, with AI handling orchestration and a human handling the judgment calls.
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What a SOC 2 report from your auditor should actually contain
A SOC 2 report follows a standard five-section structure. Knowing what belongs in each section helps you catch errors before sharing the report with customers and gives you the vocabulary to push back on your auditor when something looks wrong.
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What SOC 2 actually is and why most explanations get it wrong
SOC 2 is not a certification. It is an AICPA attestation report issued by a licensed CPA firm expressing an opinion about your controls. Most vendor websites, sales decks, and even compliance platforms get this basic fact wrong, and the confusion costs companies real time and money.
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Why GRC platforms are less useful now that AI exists
GRC platforms like Vanta and Drata solved the organization problem for compliance teams. But AI solves that same problem and does the actual compliance work too. The value proposition for platforms costing tens of thousands annually is eroding fast when AI can collect 99 of 123 evidence items in four sessions.
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Being the front runner for AI at your company is a terrible job. Do it anyway.
AI front runners at mid-size companies burn out first. HBR found 34% higher turnover intent, 33% more decision fatigue, and zero formal recognition. The role is brutal and largely thankless. It is also the most important job nobody hired you for.
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Technology is only a small part of driving the value of AI
DBS Bank expected more than $780 million in economic value from AI in 2025. Their CEO told a Fortune conference to stop hiring for knowledge and start hiring for attitude. Walmart, Starbucks, JPMorgan, and Caterpillar all arrived at the same conclusion: the technology was the easy part.
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How Claude extra usage billing actually works for teams and enterprise
Most companies pick a Claude plan by comparing features and price per seat. The real cost driver is extra usage billing, charged at standard API rates with no penalty premium. Understanding how per-member limits, three layers of spending controls, and overflow pricing interact changes which plan saves you money at scale.
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How to build an AI champions network that actually drives adoption
AI4SP research across 115,000 organizations and individuals found 80% satisfaction with off-the-shelf AI tools but under 40% for enterprise-sanctioned deployments. The companies getting adoption right build three-tier champion networks where trusted peers test, validate, and spread use cases from the middle of the organization outward.
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How to manage Claude Desktop updates across your enterprise fleet
Getting Claude Desktop installed is the easy part. Keeping hundreds of enterprise machines on the same version when Anthropic ships weekly updates and the auto-updater silently fails on managed endpoints is the problem nobody warns you about.
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How to organize SharePoint and OneDrive so Claude can actually find your documents
Your SharePoint and OneDrive setup is organized for people browsing folders. Claude reads metadata. That mismatch is why the M365 Connector finds nothing useful and Cowork struggles with your files. Restructuring for AI access takes a weekend and pays off immediately.
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How to pick and run a lighthouse site for your AI rollout
Most companies deploy AI everywhere at once. CIO data shows 88 percent of AI pilots never reach production. A lighthouse site lets you prove value with one team first, build a playbook, then expand with evidence instead of chaos.
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Shadow AI is not a policy problem. It is a supply problem.
Banning unauthorized AI tools does not work. BlackFog research shows 60% of employees use unsanctioned AI tools anyway, outside your security perimeter. Companies actually preventing shadow AI are doing it by making approved tools faster to access, not by writing stricter policies nobody reads.
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The first 15 minutes of AI training determine everything that follows
Most AI training sessions lose the room before minute ten by opening with features nobody asked about. SHRM data shows more than half of workers are worried about AI affecting their roles. The trainers who get it right start with the question everyone is thinking: am I about to be replaced?
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Your AI can not think straight when your data lives in four different ERPs
Mid-size companies almost always run multiple ERP systems after acquisitions and organic growth. With 47% of ERP consolidation attempts exceeding budget, most keep running parallel systems. MCP servers offer a different integration pattern: connect each system to the AI layer instead of connecting them to each other.
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How to deploy Claude Desktop and Cowork on locked-down enterprise Windows
The standard Claude Desktop installer fails on enterprise Windows machines managed by Intune. Developer Mode is not the fix. Deploy the signed MSIX package through Intune as a Line of Business app to bypass all three failure modes without weakening security.
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How to run Claude Code as non-interactive mini prompts for true 24/7 automation
Every article about Claude Code automation stays surface-level. Here is the production pattern for running non-interactive mini prompts with queue processing, quality gates, and auto-restart wrappers, built from running dozens of automated jobs across multiple repos every day.
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How to run entire projects with Claude Code and Cowork
Most people use Claude to write emails. I use Claude Code and Cowork from Anthropic to run entire consulting engagements with 20+ stakeholders and full deliverable tracking. Here is the project structure that makes it work.
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AI coaching - why a human who has built something beats a chatbot every time
Most AI coaching search results are software platforms selling chatbots. A PLOS ONE study found that chatbot coaching works for generic goal-setting but was never tested on strategic business decisions. CEOs need a human who has built a company, shipped code, and understands the pressure of leading through AI transitions.
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