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Posted on • Originally published at harwoodlabs.xyz

The Goldman-JPMorgan Breaches Prove Enterprise Security Is Built on a Lie

When JPMorgan Chase disclosed that client data was compromised through their law firm's breach , following Goldman Sachs' similar admission just weeks earlier , most cybersecurity professionals focused on the wrong question. They asked: "How do we better secure the vendor ecosystem?"

They should have asked: "Why are we still pretending perimeter security works?"

These back-to-back disclosures aren't isolated incidents. They're symptoms of a fundamental delusion that has infected enterprise security for decades: the belief that we can build impenetrable boundaries around our data and systems. The vendor ecosystem hasn't just made this approach obsolete , it has made it mathematically impossible.

It's time to abandon the fiction of "secure by design" and embrace a more honest framework: secure by assumption of compromise.

The Comfortable Fiction of Boundaries

The traditional enterprise security model rests on a seductive premise: if we can properly authenticate users, segment networks, and control access points, we can create trusted zones where sensitive data lives safely. It's a model that made sense when companies owned their entire technology stack and employees worked from corporate offices.

But that world died somewhere between the first SaaS contract and the last on-premises email server.

Today's enterprise operates through an intricate web of third-party relationships that would make a Renaissance banking family dizzy. Your law firm uses a document management system built by a software company that relies on cloud infrastructure from another vendor, which contracts security monitoring to yet another firm. Each link in this chain introduces not just new attack surface, but new governance models, security standards, and incident response capabilities.

The Goldman and JPMorgan breaches illustrate this perfectly. These aren't fly-by-night operations with weak security programs. These are institutions that spend hundreds of millions annually on cybersecurity, employ some of the industry's most talented professionals, and face regulatory scrutiny that would crush most companies. Yet their data was compromised through law firms , entities they trusted but didn't directly control.

This isn't a failure of due diligence. It's a failure of philosophy.

The Mathematics of Ecosystem Risk

The vendor ecosystem creates a risk equation that traditional security frameworks cannot solve. Every third-party relationship introduces what mathematicians call a "multiplicative risk" , your security posture becomes the product, not the sum, of all interconnected security postures.

If your organization maintains a 95% security effectiveness rate (which would be world-class), and you rely on just ten vendors with similar rates, your actual security effectiveness drops to roughly 60%. Add the realistic complexity of modern enterprise vendor relationships , dozens or hundreds of integrations , and the numbers become sobering.

Consider the real-world implications: your law firm's document management vendor gets compromised through their cloud provider's misconfigured API. That breach exposes authentication tokens that provide access to your legal documents, which contain details about M&A activities that could move markets. The attack vector traveled through four different organizations, each with different security standards, incident response procedures, and regulatory requirements.

Traditional security models assume you can identify and control these pathways. In practice, most enterprises don't even have complete visibility into their vendor relationships, let alone the vendor relationships of their vendors.

The Assumption of Compromise Revolution

What if we stopped trying to prevent breaches and started assuming they're inevitable?

This isn't defeatism , it's realism. And it's already driving some of the most effective security programs in the world.

Organizations operating under "assumption of compromise" architectures don't waste energy trying to build perfect perimeters. Instead, they focus on three core principles:

Data travels in quantum states. Every piece of sensitive information exists simultaneously as "compromised" and "secure" until the moment you need to make a decision based on it. This forces you to build systems that can function even when some data has been exposed.

Identity becomes the only real perimeter. When you can't control the infrastructure, you control the authentication and authorization decisions. Every data access becomes a real-time risk calculation based on user behavior, data sensitivity, and current threat context.

Recovery speed trumps prevention completeness. The question isn't whether you'll be breached, but how quickly you can identify the scope, contain the damage, and restore trusted operations.

The organizations that have embraced this model are seeing remarkable results. They're not just more resilient to vendor-related breaches , they're more resistant to insider threats, advanced persistent threats, and the kind of zero-day exploits that make security teams lose sleep.

What This Means for Your Security Program

The practical implications of assumption of compromise architecture are profound and immediate.

First, rethink your vendor risk assessments. Stop asking whether a vendor can prevent breaches (they can't) and start asking how quickly they can detect and contain them. Evaluate their incident response capabilities, data recovery procedures, and transparency commitments. The best vendor relationships aren't built on promises of perfection , they're built on shared responsibility for rapid response.

Second, instrument everything for detection, not prevention. Your security budget should shift from tools that promise to stop attacks to tools that promise to reveal them. User and entity behavior analytics, data loss prevention, and security orchestration platforms become more valuable than next-generation firewalls and intrusion prevention systems.

Third, design data handling procedures that assume exposure. This means data classification schemes that consider "time to compromise" alongside sensitivity levels. It means encryption strategies that remain effective even when access controls fail. It means business processes that can continue operating when specific data sources are compromised.

Most importantly, change how you communicate about security to executive leadership. Stop reporting on prevented attacks and start reporting on detection times, containment effectiveness, and business continuity metrics. Executives need to understand that security is not about building fortresses , it's about building antifragile organizations that get stronger under stress.

The Counterargument: Why Traditional Models Persist

Critics of assumption of compromise architecture raise legitimate concerns. They argue that abandoning prevention-focused security creates moral hazard , if we assume compromise is inevitable, won't organizations reduce their security investments?

There's historical precedent for this concern. Some organizations have used "defense in depth" as an excuse for weak individual security controls, reasoning that multiple mediocre layers provide adequate protection. The assumption of compromise model could similarly justify underinvestment in basic security hygiene.

The regulatory environment also creates challenges. Many compliance frameworks are explicitly built around preventive controls and perimeter security models. Organizations subject to PCI-DSS, HIPAA, or SOX requirements may find it difficult to reconcile assumption of compromise architectures with regulatory expectations.

These are valid concerns, but they miss the fundamental point: traditional security models are failing not because we're implementing them poorly, but because they're based on incorrect assumptions about how modern enterprises operate.

The Goldman and JPMorgan breaches didn't happen because these organizations failed to implement traditional security controls properly. They happened because traditional security controls cannot account for the complexity and interdependence of modern business relationships.

The Stakes of Getting This Wrong

The choice between traditional perimeter security and assumption of compromise architectures isn't just a technical decision , it's a business strategy question with profound implications.

Organizations that cling to perimeter-based security will find themselves increasingly vulnerable to exactly the kind of vendor ecosystem attacks that hit Goldman and JPMorgan. More importantly, they'll find themselves less agile and less competitive in markets that increasingly reward organizational resilience over organizational rigidity.

The companies that will dominate the next decade aren't the ones with the strongest firewalls , they're the ones that can continue operating effectively even when some of their systems are compromised. They're the ones that can onboard new vendors, adopt new technologies, and enter new markets without creating exponential security risk.

This transformation requires more than new technology , it requires new mental models. Security teams need to stop thinking like castle defenders and start thinking like immune systems. Business leaders need to stop expecting perfect protection and start demanding rapid recovery.

The Goldman and JPMorgan breaches are not wake-up calls , they're obituaries for a security model that was already dead. The question is whether your organization will adapt to this new reality or continue defending a perimeter that no longer exists.

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