Weekly Update - February 9, 2026: Security hardening and scoring improvements

This week brought a comprehensive security audit that identified and addressed 23 findings across the codebase, alongside significant improvements to the scoring engine, results visualization, and content systems. The security work included hardening error responses and implementing new CI/CD test workflows. Scoring engine v5.4 delivers enhanced assessment accuracy and incorporates the newly released Claude Opus 4.6 release from Anthropic, while new sample score pages showcase multiple visualization approaches.

Content Published Last Week

Monday (Feb 2): "Weekly Update - February 2, 2026"

Tuesday (Feb 3): "Behind the Scenes at PAICE.work" How we solved the "AI won't be wrong" problem, what we learned about delivering difficult feedback, and why your results page might look different than your colleague's.

Wednesday (Feb 4): "Understanding the Five PAICE Dimensions" A deeper look at what each PAICE dimension measures, why it matters, and what distinguishes high performers from those still developing their AI collaboration skills.

Thursday (Feb 5): "How Is My PAICE Score Calculated?" Your PAICE score reflects how you actually collaborate with AI—not what you know about AI. Here's how the five dimensions combine and why they're weighted differently.

Friday (Feb 6): Video - "The Visibility Gap" Your teams are using AI every day. Your dashboards show the activity. But what happens when the AI gets it wrong? PAICE measures what governance actually requires: demonstrated AI collaboration capability.

Founding Partner Program Development

Updated Founding Partner page with significant conversion optimization with stacked CTAs, monthly calendar view, and a comprehensive explainer video. These changes directly address feedback from discovery calls about clarity and decision-making support.

Technical Improvements

Comprehensive Security Audit

Conducted a full red-team-style security audit covering OWASP Top 10 categories. The audit identified 23 findings and resulted in immediate remediation of the most impactful issues:

High-priority improvements:

Standardized error responses to hide internal details in production
Added safe_error_detail() utility for consistent error handling across routes
Hid Python/uvicorn versions from status endpoint in production
Extracted safe_email() utility and fixed bare except clauses
Removed development instance endpoint that exposed system prompts

Infrastructure hardening:

Added pre-commit hook script to detect secrets before commit
Created new CI test workflow for backend and frontend
Fixed CI workflow failures
Synced pnpm lockfile with package.json & archived redundant package-lock.json

Documentation added:

Comprehensive security audit report
IDOR risk analysis with adjusted severity ratings
CORS/CSP risk analysis documentation
Developer operating context for AI assistant calibration
Updated deployment documentation to reflect current infrastructure topology

Scoring Engine v5.4

Major scoring engine update with enhanced assessment accuracy and improved Results page integration. Updated configuration and chat routes to support new scoring capabilities. Added comprehensive version history documentation and system version tracking. Also, the scoring engine now leverages the latest AI model (Opus 4.6) for more accurate scoring with better guardrails than Opus 4.5.

Sample Score Visualizations

Incorporated all three distinct sample score pages showcasing different visualization approaches:

SampleScore (Radar): Radar chart showing dimensional performance shape
SampleScoreBar: Bar chart with tier position visualization
SampleScoreGauge: Speedometer-style gauge display

All pages share consistent sample data (351 score, Informed tier) with cross-links between views.

Expanded Prerendering System

Extended prerendering from homepage-only to cover 5 key public pages: /, /about, /faq, /partner, and /blog. This improves SEO and LLM crawler accessibility across major entry points. Updated all SEO files (llm.txt, ai.txt, humans.txt, sitemaps).

Partner Page Conversion Optimization

Significant Partner page improvements for conversion:

Stacked CTA buttons vertically to prevent overflow at wide resolutions
Changed calendar from column_view to month_view for cleaner display
Added comprehensive 2-minute video explainer script with production notes

Platform Stability

Platform maintained 100% uptime with no incidents. All systems operating normally: assessment delivery, scoring engine v5.4, results generation with A/B/C testing, cohort management, email notifications, and analytics processing.

The Week in Numbers

5 blog posts published (1 video + 4 articles)
14 commits merged (including major security PR with 20+ sub-commits)
23 security findings identified, critical issues remediated
37 files changed in security audit PR (+2,573 lines)
Scoring engine v5.4 deployed
3 sample score visualization pages created
5 public pages now prerendered (up from 1)
New CI test workflow for automated testing
100% uptime, zero incidents

Why This Week Matters

The comprehensive security audit represents a significant investment in platform integrity. While PAICE's privacy-first architecture (anonymous sessions, encrypted PII, no personal data collection) already provides strong protection, this audit identified and addressed edge cases that could affect organizational deployments. The removal of the prompts endpoint protects our assessment methodology, while standardized error handling and secret redaction strengthen our security posture for Founding Partner deployments.

Thank You

To everyone engaging with our content and providing feedback: your input shapes our development priorities. Special thanks to the new Claude Opus 4.6 for the thorough security audit collaboration, and to the SnapDev engineering team for their continued support.

Get Involved:

Take the assessment (free, always)
Explore the Founding Partner Program (for organizations)
Read the whitepaper (comprehensive framework)
Subscribe to our YouTube channel
Contact us about your specific requirements