How companies adopt AI safely: shadow AI, policies, employee-built tools and the rules every team should know.
Most read by people in IT, Executives and Legal & Compliance.
Nod only saves memory notes backed by a quote from you, and payments need your card code. See the 216-attack test, the 93.2% LongMemEval score and caveats.
Simulon's official Android app is on Google Play. Learn how to install it, why third-party APK files are risky, and how to verify a file if you must.
Agent-native version control tracks AI agent work as branches, checkpoints and history tied to prompts and specs. Here is how it differs from plain Git.
A fake job test on a work laptop reportedly let attackers use an internal AI tool to reach wallet engineers at Binance. Here is what happened and how to scope agent access.
Sam Altman says coders are busier than ever, and wants a renaissance over an industrial revolution. What it means for work, compute and inequality.
Parallel coding agents raise output but fragment attention. Here is why context switching drains you and how a more autonomous harness cuts the babysitting.
Shadow AI can trigger AI-washing fraud charges, EU AI Act fines, and scraping lawsuits. See who holds the legal liability inside a company and how to govern it.
Learn how to govern AI-built internal tools with a 30-day inventory, risk tiers, and a paved path, backed by data on shadow AI breach costs and exposed apps.
No-code voice bots from Vapi, Bland AI, Retell and Synthflow can bypass IT. See the TCPA, BIPA, EU AI Act, and PCI/HIPAA risks and how to govern them.
Morgan Stanley AIMS is a GPT-4 assistant searching 100,000+ documents for 16,000 advisors. See how it works, its compliance guardrails, and eval setup.
Kaiser Permanente's ambient AI scribe reached 7,260 physicians and 2.5M encounters. See the NEJM results, the Nabla to Abridge switch, and QA guardrails.
Block AI content in search with Google's udm=14 filter, uBlock Origin blocklists, Slop Evader, and AI-filtering engines like Kagi and DuckDuckGo.
Secure employee AI agent usage in four steps by inventorying shadow agents, setting a fast approval policy, brokering MCP access, and monitoring continuously.
Learn how to evaluate internal AI coding tools using adoption, retention, PR throughput, and developer satisfaction instead of SWE-bench leaderboard scores.
Compare Portkey, Kong, LiteLLM, Cloudflare, and AWS Bedrock on PII redaction, compliance certifications, and data residency to stop shadow AI data leaks.
MCP shadow IT is when employees link personal AI accounts to Slack, Notion, and Gmail. See the data, the Asana leak, and how IT teams can respond.
Which software engineering skills matter when AI writes the code? Learn five: directing agents, verifying output, system design, governance, and ownership.
Learn how to monitor AI agents at work with a six-step framework: agent inventory, non-human identity, autonomy tiers, runtime logging, kill switches, and NIST/OWASP alignment.
Employees are pasting trade secrets into ChatGPT. Here's how to build a locally hosted, permission-aware document scanner that stops the leak without a ban.
AI coding assistants cut keystrokes and seem to ease RSI for some developers, but burnout keeps rising. Here's what the data actually shows.
We secretly tested our team on spotting AI vs. human content. Accuracy barely beat a coin flip, matching research from 19% to 76%. Here's what to build instead.
AI models optimize to look correct, not to be correct. Here's how to test AI-generated code and sandbox employee-built tools before they fail in production.
ChatGPT can read a 1040 or W-2, but accuracy is spotty and your data's fate isn't yours to control. Here's what uploading your return really risks.
Open source can't agree on AI code policy. Here's the 6-step framework enterprise IT leaders can use to audit AI-generated and shadow AI code.