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When BlackRock Gets Scammed: A $500 Million Wake-Up Call for Private Credit

scam Oct 31, 2025

If the world's largest asset manager can be deceived, what does that say about your due diligence?

A telecom CEO, Bankim Brahmbhatt, stands accused of orchestrating a $500 million fraud, faking accounts receivable to raise loans from HPS Investment Partners (BlackRock's private credit arm) and BNP Paribas. Chapter 11 bankruptcy filings, missing funds routed offshore, and a vanishing CEO. This isn't a Netflix script. It's the latest headline in the Wall Street Journal.

What makes this case extraordinary is not the amount. It's the pedigree of the victims. This isn't a niche fund. This is BlackRock. This isn't emerging market chaos. This is U.S.-based lending. This isn't ancient history. This collapsed in August 2025.

The case is triggering serious questions across the industry. Has private credit grown faster than its guardrails? Are GP oversight and risk controls keeping up with velocity and deal size? Are institutional funds too reliant on front-door data and borrower narratives?

What's more disturbing: that it happened TO BlackRock, or that it happened DESPITE BlackRock's resources? One means no one is immune. The other means sophistication creates its own vulnerabilities. Both should terrify LPs.

At VCII, we've warned that private credit is racing ahead of its operational safeguards. Rapid growth plus soft covenants plus rising offshore exposure equals systemic vulnerability.

 

 

The Bigger Picture: Fraud Risk in a High-Yield World

We're entering an era where alpha is being chased at the cost of control. In the rush to deploy dry powder, some funds have traded precision for speed. Deal teams are stretched. Covenants are lighter. And offshore structures create visibility gaps that even sophisticated investors struggle to monitor.

The private credit market has ballooned to over $1.6 trillion in assets under management. Speed matters. Relationships matter. But when speed replaces scrutiny, the margin for error collapses.

This case reminds us of a fundamental truth: a fake contract is harder to spot than a bad spreadsheet. AI can flag anomalies, but only if you have real inputs. A locked office and a luxury car are not governance tools. Neither is a polished pitch deck or a trusted intermediary.

 

 

What PE and Private Credit Firms Need to Know

The BlackRock case isn't isolated. It's symptomatic of structural gaps in how private capital evaluates, monitors, and governs portfolio risk. Here's what the data reveals:

Fraud is accelerating in private markets. According to the Association of Certified Fraud Examiners, asset misappropriation schemes (like fake receivables) account for 86% of all fraud cases and result in median losses of $100,000 per incident. But in leveraged environments, those losses compound exponentially.

Private credit is particularly vulnerable. Unlike traditional banking, private credit often lacks regulatory oversight, real-time transaction monitoring, or standardized covenant enforcement. Borrowers know this. Fraudsters exploit it.

Due diligence is becoming performative. Many firms conduct quality of earnings (QoE) reviews and vendor checks, but stop short of forensic validation. Background checks verify credentials but rarely trace cash flows. Reference calls confirm narratives but don't challenge them.

The result? Firms are building portfolios on untested assumptions, unverified representations, and unmonitored execution.

 

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The Top Scams Targeting PE and Private Credit Firms

Understanding the fraud landscape is the first step toward building defenses. Here are the most common schemes targeting private capital today:

Phantom Revenue and Fake Receivables What happened in the BlackRock case. Companies fabricate invoices, purchase orders, or customer contracts to inflate revenue and borrow against nonexistent assets. These schemes often involve offshore entities, shell companies, or complicit vendors who validate fake transactions.

Round-Tripping and Circular Transactions Funds are moved between related entities to create the illusion of revenue, profitability, or cash flow. A portfolio company "sells" to a subsidiary, which "pays" using a loan from another entity controlled by the same management team. The result? Artificial growth that collapses under scrutiny.

Asset Stripping and Fraudulent Transfers Management teams siphon cash, inventory, or IP out of the operating company into personal entities before lenders or equity holders can intervene. By the time the fraud is discovered, recoverable assets have vanished into offshore accounts or third-party custodians.

Earnout Manipulation Sellers game earnout provisions by accelerating revenue, deferring costs, or inflating customer counts just long enough to trigger payments. Once the earnout closes, the business deteriorates rapidly, leaving buyers with losses and limited recourse.

Vendor and Procurement Fraud Insiders create fake vendors, approve inflated invoices, or receive kickbacks from suppliers. In PE-backed companies with decentralized procurement, these schemes can persist for years before being detected, draining millions in working capital.

Financial Statement Manipulation Classic accounting fraud. Revenue recognition games, capitalized expenses, hidden liabilities, off-balance-sheet financing. These tactics obscure true performance and create illusory value that evaporates under audit or at exit.

Identity Fraud and Credential Fabrication Management teams or operating partners misrepresent their backgrounds, credentials, or track records. Fake degrees, inflated titles, fabricated exits. In a relationship-driven industry, these lies often go unchallenged until a crisis forces verification.

Lender and Investor Fraud (Double Pledging) Borrowers pledge the same assets to multiple lenders without disclosure. Accounts receivable, inventory, or equipment serve as collateral for overlapping loans. When the borrower defaults, recovery becomes a multi-party legal battle with insufficient assets to satisfy claims.

 

 

What Should Investors Take Away?

The lessons from the BlackRock case are not theoretical. They are operational. And they demand immediate attention.

Trust must be earned and verified. Even reputable borrowers require forensic diligence. Third-party KYC, revenue validation, and cash flow tracing are now non-negotiable. Reputation is not a substitute for verification.

Fraud is not a frontier market problem. It's a universal risk, especially in low-regulation zones like private credit. U.S.-based borrowers with strong pedigrees can and do commit fraud. Geography and resume are not proxies for integrity.

The era of passive oversight is over. Funds must install embedded risk officers, real-time monitoring systems, and anti-fraud AI as part of their operating model. Monthly financial reports are insufficient. Continuous monitoring is the new baseline.

Covenants must have teeth. Soft covenants protect speed, not capital. Funds need the right to audit, verify, and inspect without notice. They need enforceable triggers tied to verification failures, not just financial underperformance.

Offshore structures require heightened scrutiny. Any transaction involving shell entities, offshore accounts, or related-party flows should trigger enhanced due diligence. These structures are not inherently fraudulent, but they are inherently opaque.

Build fraud detection into the investment process. Fraud risk should be assessed in every deal. Not as a checkbox, but as a scenario. What would fraud look like here? Where are the weak points? What data can we independently verify? What can't we verify, and what does that mean for our risk?

 

 

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The Institutional Response: What's Changing

Some of the most sophisticated allocators are already recalibrating. Limited partners are demanding transparency into GP-level controls, fraud detection protocols, and portfolio monitoring capabilities. The questions being asked in diligence now include:

Do you have a dedicated fraud detection function, or is it embedded in compliance?

What percentage of your portfolio undergoes forensic review annually?

How do you verify revenue and receivables independently of management representations?

What AI or data analytics tools do you deploy for anomaly detection?

How quickly can you detect and respond to red flags in real time?

These aren't nice-to-haves. They are table stakes for institutional capital deployment in 2025 and beyond.

 

 

The Role of Technology in Fraud Prevention

AI and machine learning are not silver bullets, but they are force multipliers. The most advanced firms are deploying technology across the fraud detection spectrum:

Transaction monitoring systems that flag unusual patterns in cash flows, vendor payments, or intercompany transfers.

Natural language processing (NLP) to analyze contracts, invoices, and emails for inconsistencies or fabricated documentation.

Predictive analytics that identify high-risk borrowers based on behavioral signals, governance gaps, or historical fraud indicators.

Blockchain-enabled verification for asset tracking, chain of custody, and immutable audit trails.

But technology is only as good as the inputs. Garbage in, garbage out. Firms must pair AI with human judgment, forensic expertise, and a culture that rewards skepticism over speed.

 

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A Question for Private Capital Leaders

If BlackRock can get hit for $500 million, what systems will protect you?

We're not asking this for effect. We're asking because the next blind spot may already be in your portfolio. The next fabricated invoice. The next offshore siphon. The next trusted CEO who turns out to be a fiction.

The question is not whether fraud will happen. It's whether you'll detect it before it compounds.

 

 

The Bottom Line

The BlackRock case is a mirror, not an outlier. It reflects what happens when growth outpaces governance, when relationships replace verification, and when trust is assumed rather than earned.

Private credit is not broken. But it is overextended. And the market is correcting in real time. The firms that survive and thrive will be those that treat fraud prevention not as a compliance function, but as a competitive advantage.

Because in a world where everyone has capital, the real edge is knowing where not to deploy it.

 

 

The Value Creation Innovation Institute (VCII) equips private equity and private credit professionals with operator-grade frameworks for risk management, governance, and operational alpha. Our research on corruption signals, fraud detection, and AI-enabled monitoring systems helps firms build resilient portfolios in high-risk environments.

Ready to strengthen your defenses? Explore our courses, access the Free Library, or take the Self-Assessment to identify your next development priorities.

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