Blog Post: The Growing National Security Risk of Mass Surveillance
Flock claims its central database has never been hacked, but the larger system represents a very serious security threat to the population of people in the database and US National Security.
When questioned about the massive amount of location data their Automated License Plate Readers (ALPRs) collect, Flock Safety often points to a reassuring metric: their central cloud database has never suffered a mass data exfiltration. While this might be true, cybersecurity experts and national security professionals warn that this defense misses the point entirely.
The problem is not just the central database; it’s the sprawling, interconnected network built around it. As Flock scales to hundreds of thousands of cameras nationwide, the risk profile changes exponentially, creating vulnerabilities that extend far beyond a traditional database breach.
The Honeypot Effect and “Data Gravity”
In risk management, the impact of a potential breach dictates the threat level it attracts. A localized database containing a few thousand license plates from a small town is a low-value target. But what happens when that system scales to capture billions of data points mapping the daily “pattern-of-life” for millions of citizens across the country?
It develops what security experts call data gravity. This massive concentration of highly sensitive intelligence—including the movements of military personnel, politicians, and corporate executives—transforms the network into a premier target for Advanced Persistent Threats (APTs) and well-funded nation-state intelligence agencies.
An Exponentially Expanding Attack Surface
Every new camera deployed and every new user account created adds a node to the system’s attack surface. This growth multiplies the risk in two distinct areas:
- The Edge Devices: Expanding to hundreds of thousands of physical cameras means hundreds of thousands of potential physical access points. Security researchers have already demonstrated the ability to steal these cameras, extract stored encryption keys, and pull millions of images directly from the local hardware.
- The Human Element: Expanding to thousands of disparate local police agencies means relying on the cybersecurity hygiene of thousands of different municipal IT departments. The probability of a successful phishing attack, credential theft, or a malicious insider selling their login credentials approaches absolute certainty as the user base scales into the tens of thousands.
The “Noise Floor” Hides the Hacks
Perhaps the most concerning vulnerability isn’t a technical flaw, but a feature of the system’s design. Because thousands of legitimate users are constantly running massive, wide-net searches across state lines, malicious activity can easily blend into routine operations.
A single legitimate law enforcement query can simultaneously access data from over 100,000 cameras. If a hacker or foreign adversary compromises a single police officer’s login credentials, their searches bypass external firewalls and simply look like an active officer working a case. This creates a massive “noise floor” that makes detecting a slow, deliberate data exfiltration incredibly difficult. Just recently, in late September 2026, an unauthenticated flaw exposed over 335,000 camera locations nationwide—and the researcher noted that the company’s inability to detect the data exfiltration represented a massive detection failure.
The Failure of “Need to Know”
Traditional cybersecurity relies on proactive restriction—mathematically blocking access to sensitive data unless a system verifies the user requires it. Flock’s system relies on broad access paired with retroactive auditing.
Because the system grants access first and relies on the “honor system” for search justifications, enforcing the “need to know” rule falls entirely on local police supervisors to retroactively review audit logs. Securing a system where data is tightly compartmentalized is difficult; securing a system designed for frictionless data sharing across thousands of jurisdictions is exponentially harder.
Conclusion: A Compounding Risk
From a strict risk management perspective, building a centralized, universally accessible database of a population’s movements virtually guarantees that a catastrophic exploitation is a matter of when, not if.
While the central cloud may be secure today, the surrounding web APIs, the vulnerable edge devices, and the reliance on the flawed human element represent a highly compromised threat vector. The risk does not scale linearly with every new camera installed; it compounds.
Here is more information on Data Gravity and Security Risks:
1. Huntress: “What is Data Gravity?”
This is the article that explicitly warns that “Big piles of data become attractive to attackers” and that “Centralization creates a single, very valuable target”.
2. CrowdStrike: “Understanding Data Gravity”
CrowdStrike, one of the world’s leading cybersecurity firms, discusses the implications of data gravity on network infrastructure and how a massive accumulation of data dictates security architectures.
3. Elastic: “Overcome Data Gravity in Cybersecurity”
This article from the creators of Elasticsearch discusses the principle that as data volumes grow, they become harder to manage and secure, specifically focusing on security operations.
4. Splunk / Cisco: “Data Gravity, Not Data Volume…”
Splunk (which is now part of Cisco) published an executive-level piece on how accumulating massive amounts of data creates gravity that holds security operations back, advocating for analyzing data where it lives rather than centralizing it.