As the AI ecosystem expands rapidly, the greatest security risk enterprises face has already shifted from systems to people.
Whenever a security incident hits an AI platform, the conversation gravitates toward the model itself. Was it jailbroken? Did it leak training data? But a recent Analytics Insight article challenges that framing with a counterintuitive argument: the biggest security threat surrounding AI platforms is not the technology. It is the people around it: developers, partners, employees, and end users.
The conclusion may seem provocative, but it has long resonated across the security community. The boundaries of a technical system are rarely breached. They are bypassed by human behavior.
“In the 2024 ‘APIpocalypse’ incidents, attackers generated millions of dollars in unauthorized compute charges using exposed API keys found on GitHub. No zero-day exploits, just one misconfigured developer.”
This isn’t just an OpenAI problem. It is the new risk structure every enterprise must confront as it adopts AI tools and expands its digital ecosystem.
People Are the Attack Surface, Not the Exception
In traditional security frameworks, “human factors” are typically categorized as social engineering or insider threats. In the AI era, this concept needs to expand significantly. Risk now flows from three distinct layers:
- Developer layer: Mismanaged API keys and uncontrolled third-party integrations create entry points for supply chain attacks.
- User layer: Employees feed sensitive data into AI tools, trust AI outputs uncritically, and click on phishing links disguised as AI interfaces.
- Organizational layer: Without AI usage policies in place, staff operate high-risk tools in an unsupervised environment.
All three layers share a common thread: Identity. Who is accessing the system? Who is authorized to trigger this action? Whose behavior has crossed the line of their permitted scope?
When People Become the Attack Surface, MFA Is Just the Starting Point
Many organizations still think of MFA as simply “adding another password step.” This understanding was insufficient before AI-driven threats arrived. Today, it falls dangerously short.
The real question is this: when attackers can clone voices with AI, craft hyper-realistic phishing messages, and automate credential-stuffing at scale, how long can a traditional SMS OTP actually hold the line?
The core of protection isn’t adding more factors—it’s ensuring every authentication action is bound to a device and behavioral context that cannot be forged.
This is the core logic behind Keypasco’s MFA and Zero Trust architecture: device-associated combined with behavioral analysis, ensuring every access request must simultaneously satisfy three dimensions: who you are, which device you’re using, and whether your behavior fits the expected context.
Keypasco’s authentication mechanism binds directly to the user’s physical device, rather than relying on interceptable SMS codes. Even if an attacker obtains account credentials or even deceives. The user directly without that specific device, they simply cannot get in.
Zero Trust Is Not a Tool, It’s a Shift in Mindset
The OpenAI case reinforces the foundational assumption of Zero Trust: trust no one, not internal staff, not authorized partners, not even API requests that appear legitimate.
Under this framework, identity verification is no longer a gate at the entrance, it is a continuous confirmation mechanism woven through every operation, every data access, every system call.
For IT leaders, this means the center of gravity in security strategy must shift from perimeter defense to identity governance. The question is no longer “Is my firewall strong enough?” but “At any given moment, can I be certain that the person operating my systems is exactly who they claim to be?”
AI Amplifies Human Risk and the Value of Identity Security
Three hundred million ChatGPT interactions per week means three hundred million potential identity vulnerabilities, three hundred million possible starting points for a data breach. AI makes attackers more efficient and it makes human error easier to exploit.
Enterprises must start from identity verification and rebuild the foundation of trust.
What organizations need isn’t a more complex security architecture. It’s a smart, practical identity verification foundation that ensures every person entering a system at any given moment cannot be impersonated or bypassed.
Source: Why OpenAI’s Biggest Security Risk isn’t ChatGPT, it’s Everyone Around it (Analytics Insight)