
In the World Cup, talent matters. But talent alone does not win. The best teams do not[…]

The AI Likelihood Test asks whether an AI exposure appears reasonably likely. The next test asks whether[…]

Enterprise AI oversight should not stop at whether a system is governed. It should ask whether the[…]

Most AI business cases are 𝐨𝐧𝐥𝐲 built around upside: productivity gains, faster workflows, lower labor costs, better[…]

The most important AI risk question may not be technical. It may be accounting: 𝐈𝐬 𝐭𝐡𝐞 𝐞𝐱𝐩𝐨𝐬𝐮𝐫𝐞[…]

AI exposure should not be treated as a new category of risk immune from accounting discipline. If[…]

The next phase of enterprise AI maturity should be financial. Legal and vendor behavior already points in that[…]

The core issue is not that enterprises lack AI governance. The issue is that governance is not the same as financial[…]

Most major enterprise technologies mature alongside financial methods for pricing, transferring, benchmarking, and accruing/reserving against risk. 𝐀𝐈 𝐢𝐬 𝐩𝐫𝐨𝐠𝐫𝐞𝐬𝐬𝐢𝐧𝐠 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭𝐥𝐲.[…]

More AI: Boards are demanding, executives are funding, vendors are promising. And across large enterprises, a dangerous[…]

Your board pushed for “more AI.” The pilots worked. Models moved into production. The narrative was speed,[…]

One of your Product Manager’s generates an AI-faked and “funny” image of your competitor for use at[…]

Financially quantifying AI risk is neither easy nor simple. Why else would big insurance be abandoning AI coverage? Set the investment language: Finance (not Tech) CIOs,[…]

Happy New Year! New laws are taking effect as of January 1, including California SB 53.https://leginfo.legislature.ca.gov/faces/billTextClient.xhtml?bill_id=202520260SB53SB 53 requires frontier[…]

Responsibility without visibility… Has your CIO, CTO, or AI officer assumed your fiduciary responsibility too? Then, why is there no priced risk on any AI[…]

CEOs & Boards want the CFOs to get more involved with AI. CIOs & CTOs want more AI budget for their Data Science-packaged AI investments. GCs want their[…]

Reality check: ~100 state regs, ~1000 state bills, and Presidential EOs. Focus on finance. CA SB53 brings prices to critical[…]

The bell has officially rung! Internal Auditors are moving fast to assess the enterprise risks of generative[…]

Every enterprise CFO faces two fast-moving, high-stake risks: cybersecurity and artificial intelligence (AI). Cyber risk has decades[…]

Indemnify AI, Inc., the vanguard in AI financial risk quantification and benchmarking, is pleased to announce that[…]

One trillion dollars in AI failures have hit market leaders, triggering impairments, write-downs, exits, and legal contingencies.[…]

Indemnify AI, Inc., the vanguard in AI financial risk quantification and benchmarking, is pleased to announce that[…]

AI failures have contributed to over $1 trillion in losses, according to industry reporting. Although massive market-cap[…]

From billion-dollar market cap losses to wrongful arrests, #AI failures are triggering real-world consequences. Dozens more cases[…]

Indemnify AI, Inc., the vanguard in AI financial risk quantification and benchmarking, is pleased to announce Dr.[…]

FOR IMMEDIATE RELEASEJune 27, 2025, 8am PT Indemnify AI, Inc. announces the launch of Bleederboard.AI, the first-of-its-kind[…]

The AI Liability Curve: The Efficient Framework to Quantify AI Risk As AI advances, so does the[…]

Accelerating AI adoption is generating new corporate financial risks. Technical and compliance teams focus on model performance[…]

Webinar – June 4th, 2025 8:30-9am PT Register at bit.ly/3H4D9S2 #ai #risk #riskmanagement #strategy #CEO #CFO #President[…]

In our last discussion, we highlighted the hidden dangers of AI risk in the Accuracy Paradox. Today, let’s[…]

Must a CEO stay fluent on each & every #AI component? Know the ins & outs of[…]

For CFOs and Treasury leaders, every investment must deliver clear ROI. As boardrooms scrutinize AI initiatives, the[…]

Indemnify AI welcomes Pete Graner, a powerhouse addition to our Technical Advisory Board! With a distinguished record[…]

𝐀𝐈 𝐑𝐢𝐬𝐤 𝐁𝐞𝐧𝐜𝐡𝐦𝐚𝐫𝐤𝐢𝐧𝐠: Quantifying Risk for Profitable LLM Deployment 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄Large Language Models (LLMs) are revolutionizing industries—but adoption[…]

Enterprises face significant AI profitability challenges, especially in risk quantification and benchmarking. Corporations require a structured process[…]