Summary of Key Points
This article uses the classic example of a parking lot thief interfering with the car locking signal to introduce the concept of an “execution gap”: People often equate “taking an action” (such as pressing the lock button) with “achieving a result” (such as the car being locked), but there is a hidden gap between the two that can be exploited by attackers. The article expands on this concept to corporate systems and the era of AI, emphasizing that traditional security measures, which focus only on “who has the authority to perform an action,” are far from sufficient. It’s more important to ensure that the outcome of the action aligns with the intended purpose (execution security). The solution proposed is to adopt a similar approach to what experienced drivers do after locking their cars: independently verifying the final result to close this gap.
Detailed Analysis
1. The Execution Gap: The Invisible Divide Between Action and Result
You press the lock button, hear a “click” (or see a light flash), and then you walk away—this is common behavior. However, a thief can use a jammer to disrupt the signal, meaning the car isn’t actually locked. The “gap” here refers to the time between pressing the button and the actual occurrence of the result:
- Under normal circumstances, these two events happen almost simultaneously, so our brains perceive them as one continuous action;
- In reality, however, the button merely sends a command, which then goes through various steps (signal transmission, system processing, mechanical execution, etc.). Any issue at any stage can cause the outcome to deviate from the intended one.
Attackers don’t need to damage the lock or keys; they just need to disrupt this connection, making you believe the action was successful when it wasn’t.
2. The Most Dangerous Situation: When It “Looks Successful”
If the lock button clearly doesn’t work (e.g., no response), you will try again or check. But with a jammer, the thief’s interference makes everything seem normal—no error messages indicate that the car isn’t locked. This type of “false success” is particularly dangerous:
- You won’t stop to verify, giving the attacker enough time to carry out their attack (e.g., stealing the car);
- It’s like a delivery receipt saying “shipped” not meaning you’ve received the goods, or a transfer showing “submitted” not meaning the money has been transferred. Yet people often assume these intermediate states are the final outcomes.
What attackers want is not for the system to crash; they want to make failures appear successful.
3. Execution Gaps Are Everywhere in Corporate Systems
Buttons like “submit,” “approve,” “transfer,” and “deploy” in corporate systems function similarly:
- In finance, someone might press the transfer button thinking the money has been sent to the supplier’s account, but due to system delays, it doesn’t get there;
- In development, someone might think a new feature is live when, in reality, the wrong version is deployed;
- Traditional security focuses on who has the authority to use these buttons (e.g., approval processes), ignoring whether the outcome is correct. This is the corporate equivalent of not checking if the car door is actually closed after locking it.
Even legitimate users operating within the system can still cause errors, making such issues more隐蔽 than illegal actions.
4. AI Agents Make Execution Gaps Even Worse
AI can automatically perform tasks like sending emails, managing permissions, and handling finances, but its execution processes are hundreds of times more complex:
- From understanding your instructions (e.g., “send a contract to the client”) to breaking it down into steps (find the contract → select the client → send the email), there are many potential issues;
- For example, AI might mistakenly target the wrong client or attach the wrong file, yet it reports “execution successful” without you realizing it.
- What’s more concerning is that AI can perform multiple actions simultaneously. A single error can affect multiple accounts, devices, or entire systems, creating a “scaleable execution gap.”
5. Closing the Execution Gap: Taking Final Verifications
The most effective approach is to perform a final verification step, just like an experienced driver checks the car door after locking it:
- After locking the car, verify that the door is truly closed;
- Before making a corporate transfer, confirm the recipient’s name and account details (not just rely on the system’s “submitted” message);
- After AI executes a task, use another system to check for any errors (e.g., whether the money was sent to the wrong account).
- It may take an extra second, but it can prevent irreversible losses. Security doesn’t come at zero cost; the key is to trade a little inconvenience for greater security.
Final Conclusion
The execution gap is the difference between “thinking something is done” and “it actually being done.” In the age of AI, we must remember: Don’t just trust the buttons; trust the actual results. Just like an experienced driver who checks the car door after locking it—simple but effective.