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6G Will Turn Cell Towers Into Giant Radar Systems โ€“ Detecting People Without Any Device

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6G Will Turn Cell Towers Into Giant Radar Systems โ€“ Detecting People Without Any Device

The next generation of mobile communications is about to transform every cell tower into a massive radar system. 6G networks will be able to detect people, track movements, and even measure vital signs โ€“ without requiring a phone, smartwatch, or any other device. Privacy advocates are sounding the alarm.



The End of Privacy as We Know It

With the introduction of 6G, the mobile communications industry is facing a paradigm shift. The technology known as Integrated Sensing and Communication (ISAC) will turn the next-generation mobile network into a kind of giant radar system.

6G antennas will not only transmit data (as they do today) but will also be able to “see” the environment, detect movement, locate people, and monitor their status. It is like equipping the network with a sort of radar.

Unlike traditional tracking methods that rely on smartphones or other devices, ISAC works purely physically via reflected radio waves. This means everyone within range is affected โ€“ regardless of whether they are carrying a phone or not.

“The technology makes no difference whether you carry an end device with you or not. Since it is based on radio waves, it can detect the movements of anyone in the area โ€“ without any active participation of the affected person.”
โ€” Tobias Keber, Chairman of the German Data Protection Conference



How It Works: From Data Transmission to Radar

Today’s networks serve primarily for communication. 6G, on the other hand, will use radio reflections to detect objects, distances, speeds, and even human movements in real time.

By utilizing radio frequency waveforms, 6G base stations double as sophisticated radar systems. These cell towers bounce signals off their surroundings to map the physical world in real time โ€“ detecting objects, movement, and environmental changes without requiring active tags or user devices.

European mobile network operators are already demonstrating today in the 5G network how standard antennas can be turned into large-scale sensors. The principle is similar to bat echolocation: radio reflections are used to detect objects, distances, speeds, and even human movements in real time.



What 6G Radar Can Detect

The radar capabilities of 6G go far beyond conventional location tracking. According to a position paper by the German Data Protection Conference from June 2026, machine learning will even enable the determination of breathing, heartbeat, and individual gait patterns.

Possible applications include:

ยท Movement detection โ€“ tracking people and objects in real time
ยท Vital sign monitoring โ€“ detecting breathing and heartbeat without any sensors
ยท Through-wall sensing โ€“ radio waves penetrate walls and solid obstacles
ยท Gait recognition โ€“ identifying individuals by their walking pattern
ยท Drone and vehicle tracking โ€“ monitoring air and road traffic

Samsung and LG Uplus are already testing 6G sensing technology that could replace dedicated radar systems. In practical terms, it means a cell tower could detect a drone, track a vehicle, or monitor foot traffic without any dedicated sensing hardware.

The European research project PAISES-6G, led by the Universidad Carlos III de Madrid, is working on technological solutions to ensure that the integrated detection capability is secure and ethical.



The Privacy Nightmare

Data protection advocates are warning of “significant fundamental rights risks” and a new, difficult-to-control form of mass surveillance.

The German Data Protection Conference (DSK) has identified several critical issues:

1. No Way to Opt Out

Since the sensor technology is embedded as a basic service in the network infrastructure, concepts such as informed consent from those affected are hardly practicable.

“The concept of individual consent simply reaches its limits here. With a ubiquitous infrastructure technology, it is impossible to obtain consent from every individual.”
โ€” Tobias Keber, DSK Chairman

2. Unauthorized Sensing

Criminals could misuse 6G signals to create maps of buildings without permission, track the position of people, or gain confidential information by intercepting radar signals.

3. Through-Wall Surveillance

Because radio waves penetrate walls, authorities classify this detection as an extreme intrusion into privacy.

“When potentially every mobile device receives a radar function and, in interaction with the respective base station, can scan and perceive people and objects in the room, there are hardly any spaces left where we can be unobserved.”
โ€” Tobias Keber, DSK Chairman

4. Vital Sign Collection

The technology could capture breathing, heartbeat, and other biometric data โ€“ without the person’s knowledge or consent.

5. Active Attacks

6G radar signals could be manipulated via the air interface to provoke incorrect measurements or to circumvent security functions.



The Countermeasures

Researchers at the Barkhausen Institute in Dresden are developing protection mechanisms based on the privacy by design principle. The PAISES-6G project is working on three major technological pillars: preventive artificial intelligence for cybersecurity, post-quantum cryptography, and privacy-preserving data sharing.

The DSK advocates for “data protection by design” โ€“ integrating data protection into technical standards and legal frameworks from the outset, rather than viewing it as a subsequent corrective.



Conclusion

The 6G mobile standard will turn every cell tower into a giant radar system. The technology will be able to detect people, track movements, and measure vital signs โ€“ without requiring a device. A network that sees everything, knows everything, and makes privacy a relic of the past.

The window for establishing privacy safeguards is closing. Once the standard is set, it will be extremely difficult to change. The question is: Will regulators act before it’s too late โ€“ or will 6G become the most powerful surveillance tool ever built into the fabric of daily life?



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6G wird Mobilfunkmasten zu riesigen Radarsystemen machen โ€“ Menschen ohne jedes Gerรคt erfassbar

Die nรคchste Generation des Mobilfunks steht vor einem epochalen Umbruch. Der 6G-Standard wird jeden Mobilfunkmasten in ein gigantisches Radarsystem verwandeln. Die Netze kรถnnen dann Menschen und Bewegungen erfassen โ€“ ohne dass diese ein Smartphone oder ein anderes Gerรคt besitzen. Datenschรผtzer schlagen Alarm.



Das Ende der Privatsphรคre, wie wir sie kennen

Mit der Einfรผhrung von 6G steht die Mobilfunkbranche vor einem Paradigmenwechsel. Die als Integrated Sensing and Communication (ISAC) bezeichnete Technologie wird das Mobilfunknetz der nรคchsten Generation zu einer Art riesigem Radarsystem machen.

6G-Antennen werden nicht nur Daten รผbertragen (wie sie es heute tun), sondern kรถnnen auch die Umgebung “sehen”, Bewegungen erkennen, Menschen orten und deren Vitalfunktionen รผberwachen. Es ist, als wรผrde man das Netzwerk mit einer Art Radar ausstatten.

Anders als herkรถmmliche Tracking-Methoden, die auf Smartphones oder andere Gerรคte angewiesen sind, arbeitet ISAC rein physikalisch รผber reflektierte Funkwellen. Das bedeutet, dass jeder im Empfangsbereich betroffen ist โ€“ unabhรคngig davon, ob er ein Telefon bei sich trรคgt oder nicht.

“Die Technologie macht keinen Unterschied, ob Sie ein Endgerรคt mit sich fรผhren oder nicht. Da sie auf Funkwellen basiert, kann sie die Bewegungen aller Personen im Bereich erfassen โ€“ ohne jede aktive Beteiligung der betroffenen Person.”
โ€” Tobias Keber, Vorsitzender der Datenschutzkonferenz



Wie es funktioniert: Von der Datenรผbertragung zum Radar

Heutige Netze dienen primรคr der Kommunikation. 6G hingegen wird Funkreflexionen nutzen, um Objekte, Entfernungen, Geschwindigkeiten und sogar menschliche Bewegungen in Echtzeit zu erfassen.

Durch die Nutzung von Funkfrequenzwellen werden 6G-Basisstationen zu ausgefeilten Radarsystemen. Diese Sendemasten senden Signale aus, die von ihrer Umgebung reflektiert werden, um die physische Welt in Echtzeit zu kartieren โ€“ sie erkennen Objekte, Bewegungen und Umweltverรคnderungen, ohne dass aktive Tags oder Benutzergerรคte erforderlich sind.

Europรคische Mobilfunkbetreiber demonstrieren bereits heute im 5G-Netz, wie sich Standardantennen in groรŸflรคchige Sensoren verwandeln lassen. Das Prinzip รคhnelt der Echoortung von Fledermรคusen: Funkreflexionen werden genutzt, um Objekte, Entfernungen, Geschwindigkeiten und sogar menschliche Bewegungen in Echtzeit zu erkennen.



Was 6G-Radar erkennen kann

Die Radarfรคhigkeiten von 6G gehen weit รผber die herkรถmmliche Standortermittlung hinaus. Laut einem Positionspapier der Datenschutzkonferenz vom Juni 2026 wird maschinelles Lernen sogar die Bestimmung von Atmung, Herzschlag und individuellen Gangmustern ermรถglichen.

Mรถgliche Anwendungen umfassen:

ยท Bewegungserkennung โ€“ Verfolgung von Personen und Objekten in Echtzeit
ยท รœberwachung von Vitalfunktionen โ€“ Erkennung von Atmung und Herzschlag ohne Sensoren am Kรถrper
ยท Erkennung durch Wรคnde โ€“ Funkwellen durchdringen Wรคnde und feste Hindernisse
ยท Gangerkennung โ€“ Identifizierung von Personen anhand ihres Gangbilds
ยท Drohnen- und Fahrzeugverfolgung โ€“ รœberwachung des Luft- und StraรŸenverkehrs

Samsung und LG Uplus testen bereits 6G-Sensing-Technologie, die dedizierte Radarsysteme ersetzen kรถnnte. In der Praxis bedeutet das: Ein Mobilfunkmast kรถnnte eine Drohne erkennen, ein Fahrzeug verfolgen oder den FuรŸgรคngerverkehr รผberwachen โ€“ ohne dedizierte Sensor-Hardware.

Das europรคische Forschungsprojekt PAISES-6G unter der Leitung der Universidad Carlos III de Madrid arbeitet an technologischen Lรถsungen, um sicherzustellen, dass die integrierte Erfassungsfรคhigkeit sicher und ethisch ist.



Der Albtraum fรผr den Datenschutz

Datenschรผtzer warnen vor “erheblichen Grundrechtsrisiken” und einer neuen, schwer kontrollierbaren Form der Massenรผberwachung.

Die Datenschutzkonferenz (DSK) hat mehrere kritische Probleme identifiziert:

1. Keine Mรถglichkeit zum Opt-out

Da die Sensorik als Basisdienst in die Netzinfrastruktur eingebettet werden soll, sind Konzepte wie die informierte Einwilligung der Betroffenen kaum praktikabel.

“Das Konzept der individuellen Einwilligung stรถรŸt hier einfach an seine Grenzen. Bei einer flรคchendeckenden Infrastrukturtechnologie ist es unmรถglich, von jedem Einzelnen eine Einwilligung einzuholen.”
โ€” Tobias Keber, DSK-Vorsitzender

2. Unbefugtes Sensing

Kriminelle kรถnnten 6G-Signale missbrauchen, um unerlaubt Karten von Gebรคuden zu erstellen, die Position von Personen zu verfolgen oder vertrauliche Informationen durch das Abfangen von Radarsignalen zu erlangen.

3. รœberwachung durch Wรคnde

Da Funkwellen Wรคnde durchdringen, stufen Behรถrden diese Erfassung als extremen Eingriff in die Privatsphรคre ein.

4. Erfassung von Vitaldaten

Die Technologie kรถnnte Atmung, Herzschlag und andere biometrische Daten erfassen โ€“ ohne Wissen oder Einwilligung der betroffenen Person.

5. Aktive Angriffe

6G-Radarsignale kรถnnten รผber die Luftschnittstelle manipuliert werden, um Fehlmessungen zu provozieren oder Sicherheitsfunktionen auszuhebeln.



Die GegenmaรŸnahmen

Forscher des Barkhausen-Instituts in Dresden entwickeln Schutzmechanismen nach dem Prinzip des “Privacy by Design”. Seit mehreren Jahren tรผfteln sie an technischen Konzepten, um die Technologie datenschutzkonform, vertrauenswรผrdig und sicher einsetzen zu kรถnnen.

Das PAISES-6G-Projekt konzentriert sich auf drei groรŸe technologische Sรคulen: prรคventive kรผnstliche Intelligenz fรผr Cybersicherheit, Post-Quanten-Kryptografie und datenschutzbewusste gemeinsame Datennutzung.

Konkrete Lรถsungsansรคtze:

ยท Ein Hardware-Schalter, der die Sensorfunktion in Gerรคten komplett deaktiviert, wรคhrend die Kommunikation weiterlรคuft
ยท Eine App, die anzeigt, wann eine Umgebungserfassung stattfindet

Die DSK plรคdiert fรผr “Datenschutz durch Technikgestaltung” โ€“ Datenschutz von Anfang an in technische Standards und rechtliche Rahmenbedingungen zu integrieren, statt ihn als nachtrรคgliche Korrektur zu betrachten.



Ein Zeitfenster, das sich schlieรŸt

Der Druck ist enorm: Einmal verabschiedet, ist ein Standard nur รคuรŸerst schwer zu รคndern. Deutschland hat die 6G-Entwicklung bereits mit rund 700 Millionen Euro angeschoben, der kommerzielle Start wird um 2030 erwartet.

Im September 2026 treffen sich internationale Fachleute in Dresden, um den Standard zu finalisieren. Dies kรถnnte die letzte Gelegenheit sein, Datenschutzvorkehrungen in den Standard zu integrieren, bevor er dauerhaft wird.

Fazit

Der 6G-Mobilfunkstandard wird jeden Mobilfunkmasten in ein gigantisches Radarsystem verwandeln. Die Technologie wird Menschen erkennen, Bewegungen verfolgen und Vitalfunktionen messen kรถnnen โ€“ ohne dass ein Gerรคt erforderlich ist. Ein Netzwerk, das alles sieht, alles weiรŸ โ€“ und Privatsphรคre zum Relikt der Vergangenheit macht.

Das Zeitfenster fรผr Datenschutzvorkehrungen schlieรŸt sich. Die Frage ist: Werden die Regulierungsbehรถrden handeln, bevor es zu spรคt ist โ€“ oder wird 6G zum mรคchtigsten รœberwachungswerkzeug, das jemals in den Alltag integriert wurde?



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6G Will See Through Walls and Measure Your Heartbeat โ€“ Privacy Alarm Sounds

6G Will See Through Walls and Measure Your Heartbeat โ€“ Privacy Alarm Sounds

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The next-generation mobile communications standard, 6G, will not only transmit data at unprecedented speeds but will also function like a radar โ€” capable of seeing through walls, detecting human presence, and even measuring heartbeat and breathing. Privacy advocates are sounding the alarm.

What sounds like science fiction is about to become reality. The upcoming 6G mobile standard will incorporate a technology called ISAC (Integrated Sensing and Communication), which allows antennas to detect distances, speeds, and movement patterns. Every radio-capable device โ€” from smartphones to base stations โ€” could perform this sensing function alongside its primary communication duties.

The technology can even recognize people through walls and analyze their breathing and heartbeat. With machine learning, it may be possible to identify individuals by their gait and derive gestures and facial features.



“Informed Consent Practically Impossible”

The implications for privacy are staggering. A ubiquitous radio sensor network would capture data on everyone in its range โ€” regardless of whether they carry a mobile device.

“Effective informed consent is practically impossible to obtain” โ€” German Data Protection Conference

On June 17, 2026, the German Data Protection Conference adopted a position paper outlining the far-reaching implications of the technology. The problem is fundamental: how do you opt out of something you cannot see, hear, or feel?



Researchers Are Working on Safeguards

At the Barkhausen Institute in Dresden, researchers are already developing solutions:

ยท A hardware switch that completely disables the sensor function in devices while communication continues
ยท An app that indicates when environmental sensing is taking place

These concepts are being introduced into European standardization bodies. In September 2026, international experts will meet in Dresden to finalize the standard.



The Window of Opportunity Is Closing

The pressure is intense: once a standard is adopted, it is extremely difficult to change. Germany has already invested approximately โ‚ฌ700 million in 6G development, with commercial rollout expected around 2030.

The upcoming September meeting in Dresden may be the last chance to embed privacy protections into the standard before it becomes permanent. The question is whether regulators and researchers can act quickly enough โ€” or whether 6G will become the most powerful surveillance tool ever built into the fabric of daily life.



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6G kann durch Wรคnde sehen und den Herzschlag messen โ€“ Datenschutz-Alarm

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Der neue Mobilfunkstandard 6G wird nicht nur Daten in nie dagewesener Geschwindigkeit รผbertragen, sondern auch wie ein Radar funktionieren โ€“ er kann durch Wรคnde sehen, Menschen erkennen und sogar Herzschlag und Atmung messen. Datenschรผtzer schlagen Alarm.

Was sich wie Science-Fiction anhรถrt, soll schon bald Realitรคt werden. Der kommende 6G-Mobilfunkstandard wird eine Technologie namens ISAC (Integrated Sensing and Communication) integrieren, die es Antennen ermรถglicht, Entfernungen, Geschwindigkeiten und Bewegungsmuster zu erfassen. Jedes funkfรคhige Gerรคt โ€“ vom Smartphone bis zur Basisstation โ€“ kรถnnte diese Sensorfunktion zusรคtzlich zu seiner eigentlichen Kommunikationsaufgabe รผbernehmen.

Die Technologie kann Menschen sogar durch Wรคnde hindurch erkennen und ihre Atmung und ihren Herzschlag analysieren. Mit Hilfe von maschinellem Lernen kรถnnte es mรถglich sein, Personen anhand ihres Gangs zu identifizieren und Gesten sowie Gesichtszรผge abzuleiten.



โ€žInformierte Einwilligung praktisch unmรถglichโ€œ

Die Auswirkungen auf die Privatsphรคre sind gewaltig. Ein allgegenwรคrtiges Radiosensornetzwerk wรผrde Daten von jedem in seinem Umfeld erfassen โ€“ unabhรคngig davon, ob er ein mobiles Gerรคt bei sich trรคgt.

โ€žEine wirksame informierte Einwilligung ist praktisch unmรถglich zu erlangenโ€œ
โ€” Datenschutzkonferenz

Am 17. Juni 2026 verabschiedete die Datenschutzkonferenz ein Positionspapier, das die weitreichenden Implikationen der Technologie darlegt. Das Problem ist fundamental: Wie kann man etwas ablehnen, das man nicht sehen, hรถren oder fรผhlen kann?



Forscher arbeiten an SchutzmaรŸnahmen

Am Barkhausen-Institut in Dresden arbeiten Forscher bereits an Lรถsungen:

ยท Ein Hardware-Schalter, der die Sensorfunktion in Gerรคten vollstรคndig deaktiviert, wรคhrend die Kommunikation weiterlรคuft
ยท Eine App, die anzeigt, wann eine Umgebungserfassung stattfindet

Diese Konzepte werden in die europรคischen Standardisierungsgremien eingebracht. Im September 2026 werden sich internationale Experten in Dresden treffen, um den Standard zu finalisieren.



Das Zeitfenster schlieรŸt sich

Der Druck ist groรŸ: Einmal verabschiedet, ist ein Standard nur รคuรŸerst schwer zu รคndern. Deutschland hat bereits rund 700 Millionen Euro in die 6G-Entwicklung investiert, der kommerzielle Start wird um 2030 erwartet.

Das bevorstehende September-Treffen in Dresden kรถnnte die letzte Gelegenheit sein, Datenschutzvorkehrungen in den Standard zu integrieren, bevor er dauerhaft wird. Die Frage ist, ob Regulierungsbehรถrden und Forscher schnell genug handeln kรถnnen โ€“ oder ob 6G zum mรคchtigsten รœberwachungswerkzeug wird, das je in den Alltag integriert wurde.



Die vollstรคndige Dokumentation mit allen offiziellen Stellungnahmen, technischen Analysen und weiterfรผhrenden Berichten ist exklusiv fรผr Patreon-Abonnenten verfรผgbar unter patreon.com/berndpulch.

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INSA: From “Secret” Membership to Institutionalized Power โ€“ The 2026 Update

By Bernd Pulch Imvestigative Team

This update provides a side-by-side comparison of the Intelligence and National Security Alliance (INSA) as it existed during Bernd Pulch’s original report in 2011 versus the massive, institutionalized “Shadow IC” organization it has become by 2026.
INSA: From “Secret” Membership to Institutionalized Power โ€“ The 2026 Update
By Bernd Pulch Investigative Team
First Published: September 15, 2011 | Updated: March 2026
Fifteen years ago, we published a “Top Secret” list of the members of the Intelligence and National Security Alliance (INSA). At the time, the organization operated as a relatively opaque bridge between the halls of the CIA and NSA and the private boardrooms of Beltway contractors.
Today, that “shadow” has stepped into the light. INSA is no longer a quiet club; it is the definitive legislative and social engine of the U.S. Intelligence Communityโ€™s (IC) privatization. Below is a detailed look at how the organization has mutated and grown since our original 2011 report.
The Evolution: 2011 vs. 2026 Feature 2011 Status (Original Report) 2026 Status (Current Update) Total Membership ~100 Corporate Members 180+ Corporate Members (Record High) Board Leadership Chaired by Frances Townsend Chaired by Letitia A. Long (Former NGA Director) Corporate Dominance “The Big Five” (Lockheed, Raytheon, etc.) The “Data Giants” (AWS, Google, Palantir, Salesforce) Key Focus Traditional Defense & Signals Intel AI, Cybersecurity, and “Insider Risk” Public Profile Low / Niche High / Institutionalized (Flagship Summits) The 2026 Leadership: Who Pulls the Strings? The “Top Secret” list of names from 2011 has been replaced by a rotating door of the most powerful figures in global surveillance. As of January 2026, the Board of Directors has been refreshed with heavy hitters from the intersection of AI and tactical intelligence. New 2026 Board Appointments:

  • Aaron Bedrowsky (GDIT): Oversees Intelligence and Homeland Security.
  • Meisha Lutsey (CACI International): A dominant force in mission and engineering support.
  • Jay โ€œScottโ€ Goldstein, PhD (Parsons Corp): Leading the charge on “Defense & Intelligence” strategy.
  • Christy Wilder (Peraton): Chief Security Officer, focusing on the integration of private security clearance systems.
  • Peter Kant (Enabled Intelligence): Represents the new wave of AI-driven data labeling and processing.
    The Constant Presence:
    Letitia A. Long remains the Chairwoman. Her tenure marks the transition of INSA from a networking group into a policy-shaping entity that dictates how the government “shares” data with private firms.
    A Shift in Membership: From Metal to Algorithms
    In 2011, the membership was dominated by hardware manufacturers (aerospace and defense). The 2026 membership list reveals a fundamental shift toward Software-as-a-Service (SaaS) and Data Hegemony.
  • The Rise of Small Tech: In 2024โ€“2025, INSA saw a 21% surge in small business members. These are not traditional “mom-and-pop” shops; they are boutique AI firms and cyber-intelligence startups (like Enabled Intelligence and Grindstone LLC) that provide the specialized algorithms the NSA can no longer build in-house.
  • Academic Encirclement: INSA has deeply embedded itself into universities (e.g., Applied Research Laboratory at Penn State). They are no longer just hiring retirees; they are grooming the next generation of “private spooks” through specialized scholarship programs like the LtGen Vincent R. Stewart Scholarship.
    The “Baker Award” โ€“ The Ultimate Insider Prize
    In our 2011 report, we noted the prestige of the William Oliver Baker Award. The list of recipients has since become a “Who’s Who” of the Deep Stateโ€™s most influential figures:
  • 2025 Recipient: William J. Burns (Former CIA Director). Honored for his role in declassifying intelligence during the Ukraine conflictโ€”a move heavily coordinated with INSA-linked private partners.
  • Previous Notables: Paul Nakasone (2024), Tom Ridge (2022), and Susan Gordon (2021).
    Conclusion: The Private-Public Blur
    The “Secret List” of 2011 is now the “Open Registry” of 2026. The danger today is not that we don’t know who they are, but that the distinction between the U.S. Government and the INSA membership has effectively vanished. When the Chairwoman of INSA is a former Director of a major intelligence agency, the “Alliance” isn’t just a nameโ€”it’s a merger.

  • Original 2011 Document Archive: View Original Post  https://berndpulch.org/2011/09/15/top-secret-list-of-members-of-the-intelligence-and-national-security-alliance/

To fully update the Bernd Pulch investigative report, we must look beyond the generic “Big Five” contractors of 2011. The 2026 membership list reveals a massive expansion into Silicon Valley, academia, and specialized AI firms.
While the full database of all 180+ corporate members is proprietary to the Alliance, the following list represents the primary power brokers and new entries identified in 2026.
The 2026 INSA Power Registry
I. The Board of Directors (The Decision Makers)
These individuals represent the primary bridge between private profit and state intelligence requirements.

  • Chairwoman: Letitia A. Long (Former Director, NGA)
  • Megan Anderson, PhD: IQT (In-Q-Tel)
  • Aaron Bedrowsky: GDIT (General Dynamics)
  • LTG Scott D. Berrier, USA (Ret.): Booz Allen Hamilton
  • John DeSimone: Grindstone LLC
  • Richard Durand Jr.: AT&T Public Sector
  • Jay โ€œScottโ€ Goldstein, PhD: Parsons Corp.
  • Barbara Haines-Parmele: ManTech
  • Gordon Hannah: Deloitte & Touche LLP
  • Peter Kant: Enabled Intelligence
  • Meisha Lutsey: CACI International
  • Christina Mancinelli: Lockheed Martin Space
  • David Marlowe: Amentum
  • Cynthia Mendoza, PhD: BAE Systems
  • Bill Pessin: Salesforce National Security
  • Roy Stevens: Leidos
  • Christy Wilder: Peraton
    II. Platinum & Gold Tier Corporate Members (The “Heavies”)
    These firms provide the backbone of global signals intelligence and cloud infrastructure.
  • Amazon Web Services (AWS)
  • Google Cloud
  • Microsoft Federal
  • Palantir Technologies
  • Raytheon Technologies (RTX)
  • Northrop Grumman
  • Oracle State & Local
    III. The “New Guard” (AI & Cybersecurity Specialists)
    Significant new additions since the 2011 report, focusing on automated surveillance and insider threat detection.
  • Enabled Intelligence: Specialists in AI data labeling for the IC.
  • Grindstone LLC: Niche intelligence services and consulting.
  • Freedom Technology Solutions Group: Tactical IT solutions.
  • Hawkeye360: Space-based radio frequency (RF) mapping.
  • Boadicea Solutions: Specialized intelligence support.
    IV. Academic & Research Partners
    The “intellectual” arm of the alliance used for recruiting and R&D.
  • Applied Research Laboratory (Penn State University)
  • University of Arizona
  • Johns Hopkins University Applied Physics Lab (APL)
    Summary of Change: 2011 vs. 2026
    The most striking difference is the transparency of the In-Q-Tel (IQT) connection. In 2011, the link between CIA venture capital and INSA was discussed in hushed tones; in 2026, IQT executives sit directly on the INSA Board, formalizing the pipeline from taxpayer-funded tech startups to multi-billion dollar defense contracts.

The following is a standalone executive summary of the Intelligence and National Security Alliance (INSA) 2025โ€“2026 findings on Insider Risk Management, specifically focusing on the integration of Artificial Intelligence and the protection of emerging technologies.
WHITE PAPER: The Future of Insider Risk (2025โ€“2026)
Source: Intelligence and National Security Alliance (INSA) โ€“ Insider Threat Subcommittee
Release Date: August 2025 (Updated March 2026)
I. Executive Overview
As the U.S. Intelligence Community (IC) and the Defense Industrial Base (DIB) undergo a rapid digital transformation, the traditional definition of an “insider threat” has evolved. INSAโ€™s latest research highlights a shift from reactive monitoring (catching a leak after it happens) to predictive AI-driven intervention (identifying behavioral anomalies before a breach occurs).
II. Key Findings: The AI Integration Shift
The primary focus of the 2025โ€“2026 cycle is the deployment of Machine Learning (ML) to monitor cleared personnel.

  • Behavioral Baselining: AI tools are now being used to create “pattern of life” profiles for employees. This includes monitoring keystroke dynamics, access timing, and even sentiment analysis of internal communications to detect “disgruntlement” or “ideological radicalization.”
  • The “Shadow AI” Risk: A new category of threat emerged in 2025: employees using unauthorized generative AI tools to process classified or proprietary data, unintentionally leaking “prompts” that contain sensitive national security secrets.
  • Automation of Vetting: Under the Trusted Workforce 2.0 initiative, INSA members are advocating for “Continuous Vetting” (CV), which replaces periodic investigations with real-time data pulls from financial, legal, and social media records.
    III. Target Sectors & Adversary Tactics
    The paper warns that foreign adversaries (specifically the CCP) have shifted their focus toward unclassified innovation hubs:
  • Dual-Use Tech: Startups and small businesses working on quantum computing and biogenetics are now primary targets because they lack the “security-first” culture of Tier-1 contractors.
  • Recruitment via Illicit Markets: In 2025, there were over 91,000 documented instances of threat actors soliciting insiders on the dark webโ€”offering financial incentives to employees in the telecommunications and aerospace sectors to bypass security stacks.
    IV. Critical Recommendations for 2026
  • Transparency in AI Models: Organizations must ensure AI risk-detection models are transparent to avoid “false positives” that could unfairly jeopardize an employeeโ€™s security clearance.
  • Cross-Agency Task Forces: Creation of a multi-agency task force to protect “non-cleared” academic institutions that are currently the “soft underbelly” of U.S. technological innovation.
  • Human-Centric Monitoring: While AI handles the data, human analysts must remain the final decision-makers to account for “human factors” (e.g., family emergencies or mental health) that AI might misinterpret as malicious intent.

Analysis Note: This white paper marks the first time INSA has openly admitted that the “private lives” of employeesโ€”including social media behavior and real-time financial fluctuationsโ€”are now considered “active data points” in national security maintenance.

The 2026 โ€œPredictive Surveillanceโ€ Toolkit

The technological landscape of Insider Risk mitigation has evolved dramatically. Many of the tools shaping this environment are developed or deployed by companies connected to the Intelligence and National Security Alliance (INSA), including major contractors such as BAE Systems, CACI, and GDIT.

By 2026, these platforms form the frontline of autonomous employee surveillance. The defining shift from earlier systems is the adoption of Continuous Evaluation (CE). Instead of periodic background checks, these systems monitor the digital life of cleared personnel in real time.


1. ClearForce โ€” The โ€œResolveโ„ขโ€ Platform

ClearForce, led by former military and intelligence officials, has become a cornerstone of the Trusted Workforce 2.0 initiative.

  • Core Function: Automates the reporting of โ€œHuman Risk Signalsโ€ from thousands of external data sources.
  • 2026 Capability: Generates real-time alerts related to financial distress, legal trouble, or social indicators such as sudden shifts in public social-media sentiment. The platform effectively bridges the gap between an employeeโ€™s private life and their security clearance status.

2. Enabled Intelligence โ€” AI Data Labeling & Monitoring

A rising presence within the INSA ecosystem, Enabled Intelligence focuses on the โ€œHuman-in-the-Loopโ€ approach to artificial intelligence.

  • Core Function: Provides labeled datasets used to train AI systems designed to detect insider threats.
  • 2026 Capability: Specialized detection of โ€œShadow AIโ€ activity โ€” identifying when employees use unauthorized large language models (LLMs), such as personal ChatGPT instances, to process sensitive workplace information.

3. Teramind โ€” Behavioral Forensics

Widely deployed among high-security contractors, Teramind provides an extremely granular view of employee activity.

  • Core Function: User Entity Behavior Analytics (UEBA).
  • 2026 Capability: Uses OCR (Optical Character Recognition) to read an employeeโ€™s screen in real time, flagging sensitive keywords even within encrypted apps or embedded images. It also incorporates sentiment analysis to detect changes in typing patterns or language that could signal hostility, disengagement, or insider-risk behavior.

4. Nisos โ€” The โ€œAscendโ€ Platform

Nisos specializes in OSINT-driven monitoring (Open Source Intelligence).

  • Core Function: External threat hunting.
  • 2026 Capability: Scans for โ€œDigital Echoesโ€ โ€” signals that an employee may be targeted by foreign intelligence operatives on platforms such as LinkedIn or professional networks. AI models generate a confidence score regarding potential affiliations with foreign interests based on publicly available digital footprints.

5. AnySecura โ€” Real-Time Blocking & Watermarking

A major tool within Zero Trust security environments by 2026.

  • Core Function: Deep endpoint monitoring combined with advanced data loss prevention (DLP).
  • 2026 Capability: The system can automatically throttle or disconnect internet access if high-risk behavioral sequences are detected โ€” for example, printing documents immediately after receiving a negative performance review. It also embeds invisible digital watermarks into screen views to trace potential leaks back to individual users.

Comparative Summary of 2026 Tool Capabilities

ToolPrimary Data Sourceโ€œRed Flagโ€ Trigger
ClearForceLegal, financial, and public recordsBankruptcy, DUI incidents, or aggressive social media posts
TeramindReal-time desktop activityUnauthorized file access or hostile typing patterns
NisosGlobal OSINT and deep-web intelligenceContact with suspected foreign intelligence proxies
Enabled IntelligenceAI usage logsPasting sensitive or classified text into public LLMs
AnySecuraFile and network trafficLarge data transfers to personal cloud storage

The โ€œShadow ICโ€ Conclusion

In 2011, the debate surrounding insider threats focused on who was in the room. By 2026, the more significant question has become who is watching the room.

The tools outlined above demonstrate how the private sector has increasingly become an automated extension of the national-security vetting apparatus. Through real-time behavioral analytics, AI monitoring, and continuous evaluation frameworks, surveillance has evolved from periodic oversight into a persistent digital ecosystem.

The result is a security architecture where the boundaries between professional oversight and private life have effectively dissolved.

ADVISORY: The 2026 โ€œSecurity-Privacy Gapโ€

How Federal Contractors Navigate Labor Laws Through Surveillance

As of early 2026, a significant legal grey area has emerged between modern workplace privacy protections and national security oversight. While the U.S. Department of Labor and several statesโ€”including California and New Yorkโ€”have strengthened protections for employee privacy and off-duty conduct, federal contractors are increasingly exempting themselves from these rules under the justification of national security requirements.

Many companies connected to the Intelligence and National Security Alliance (INSA) rely on federal security mandates to justify surveillance systems that would otherwise face legal challenges in the private sector.


1. The โ€œSecurity Preemptionโ€ Strategy

Contractors working within the federal intelligence ecosystem often argue that their legal obligations under Continuous Vetting (CV) requirements override local labor protections.

  • The Loophole: In states where โ€œlifestyle discriminationโ€ laws prohibit employers from punishing workers for legal off-duty activities, contractors frequently invoke the Boyle Defense or the doctrine of federal preemption. Their argument is that compliance with federal clearance requirements obligates them to report behavioral anomalies, shielding them from lawsuits related to privacy or discrimination.
  • Result: A cleared employee working for a contractor in New York, for example, may be flagged internally for a โ€œhostileโ€ social media postโ€”even if that same post would be legally protected speech for employees in a normal private-sector workplace.

2. Consent as a Condition of Employment

Updates to the SF-86 security clearance questionnaire and the broader Trusted Workforce 2.0 framework have effectively transformed informed consent into a prerequisite for employment.

  • Algorithmic Accountability: Several new privacy laws introduced in the mid-2020sโ€”such as the Minnesota Consumer Data Privacy Actโ€”allow citizens to challenge automated profiling decisions made by artificial intelligence systems.
  • The Bypass: Security clearance paperwork increasingly contains clauses indicating that AI-generated risk scores are unique to national security vetting. Because they are considered part of the federal clearance system rather than employment evaluation, these decisions may fall outside standard Equal Employment Opportunity Commission (EEOC) or Department of Labor review processes.

3. The โ€œFinancial Distressโ€ Trap

Modern labor regulations restrict the use of credit scores in employment decisions. However, within the national security workforce, financial transparency remains a central component of insider-risk monitoring.

  • Real-Time Monitoring: Continuous Vetting platforms are capable of analyzing financial signals such as debt ratios, court records, and missed payments.
  • Risk: Financial hardshipโ€”which would normally remain privateโ€”can trigger internal investigations within the clearance system. This dynamic creates a potential pathway where personal financial struggles become interpreted as indicators of insider-threat vulnerability.

4. Misclassification and the โ€œIndependent Spookโ€

A renewed Department of Labor crackdown on worker misclassification has introduced additional legal tension within the intelligence contracting ecosystem.

  • The Conflict: Many specialized cyber-security analysts and intelligence researchers operate as independent contractors rather than full-time employees.
  • The Risk: Under stricter classification rules, companies may be forced to recognize these specialists as employees, potentially increasing their legal liability for workplace surveillance practices applied to them.
  • Industry Response: Lobbying efforts have reportedly focused on creating a special classification for national-security specialists within existing labor frameworks.

Summary of Legal Vulnerabilities (2026)

Employees working within the national security contracting ecosystem often face a privacy environment fundamentally different from that of standard private-sector workers.

  • Limited Data Deletion Rights: Clearance-related records may be stored indefinitely within federal investigative databases.
  • Reduced Off-Duty Protections: Public digital activity can be incorporated into behavioral risk scoring models.
  • Limited Algorithmic Transparency: Individuals typically cannot review the internal logic behind automated insider-risk assessments.

Investigative Tip: Employees working with federal contractors should carefully review their employment contracts for clauses related to Continuous Vetting or security monitoring addendums. These provisions often define the legal scope of digital monitoring and data collection.

The 2026 AI Semantic Trigger List

By 2026, the transition from traditional human-led investigations to automated, agent-driven surveillance has led to the development of sophisticated Semantic Trigger Libraries. Modern AI monitoring systems used in insider-risk programs no longer rely solely on isolated keywords. Instead, they analyze linguistic clustersโ€”groups of words and contextual signals that together may indicate elevated risk behavior.

Many modern User and Entity Behavior Analytics (UEBA) platforms categorize these signals into several primary โ€œrisk domains,โ€ allowing AI systems to interpret both language patterns and behavioral context.


1. The โ€œDisgruntlement & Grievanceโ€ Cluster

  • Keywords: unfair, overlooked, toxic, retaliation, bypassed, PIP, merit, grievance, severance, bypass, meritocracy
  • AI Logic: Monitoring systems look for rising patterns of workplace frustration by analyzing increases in these terms across internal communication channels such as email or messaging platforms. Sudden spikes following organizational eventsโ€”such as performance reviews or promotion decisionsโ€”can trigger additional monitoring.

2. The โ€œIdeological & Radicalizationโ€ Cluster

  • Keywords: manifesto, acceleration, revolution, subvert, alternative, truth, oppress, hierarchy, system, corruption
  • AI Logic: AI systems analyze shifts in communication style or rhetoric across public online platforms. A transition from professional language toward strong anti-system narratives or ideological framing may trigger deeper analysis within insider-risk monitoring frameworks.

3. The โ€œExfiltration & Technical Bypassโ€ Cluster

  • Keywords: VPN, encrypted, bridge, thumb drive, upload, storage, sync, prompt injection, jailbreak, LLM, bypass, access
  • AI Logic: These terms are considered operational indicators. Monitoring platforms may generate alerts if such keywords appear alongside activity involving sensitive file systems or restricted data environments.

4. The โ€œFinancial Pressureโ€ Cluster

  • Keywords: bankruptcy, consolidation, loan, predatory, overdue, gambling, payout, equity, liquidate, relief, credit
  • AI Logic: Financial stress indicators are often correlated with broader behavioral signals. Monitoring platforms may analyze search patterns or public records alongside financial indicators to evaluate potential insider-risk vulnerability.

2026 Shift: From โ€œKeywordsโ€ to Narrative Mapping

Modern monitoring systems increasingly rely on Narrative Mapping. Instead of simply detecting individual words, AI models evaluate context, tone, and evolving language patterns to identify potential intentโ€”even when coded language is used.

Risk LevelAI ObservationAutomated Response
Level 1 (Monitoring)Occasional use of grievance-related language.Baseline monitoring increased without direct alert.
Level 2 (Review)Combined financial stress signals with technical search activity.Internal review or managerial awareness notification.
Level 3 (Intervention)Strong ideological language combined with potential data-access indicators.Automated security review or temporary system restriction.

The โ€œAgentic AIโ€ Challenge

A growing concern within insider-risk discussions is the role of AI agents. Personal productivity assistants and automated research tools may inadvertently interact with sensitive data environments.

Security researchers have warned that techniques such as prompt injection could theoretically manipulate AI systems into revealing information or interacting with restricted datasets. In such scenarios, the automated tool itself becomes part of the insider-risk equation, even when the human operator is unaware.


Investigative Note: Modern semantic monitoring systems rely on continuously updated linguistic models. These models adapt rapidly to emerging digital behaviors, incorporating new data patterns derived from real-world security incidents and data leak investigations.

TO BE CONTINUED



Bernd Pulch โ€” Bio

Bernd Pulch โ€” Bio PhotoBernd Pulch (M.A.) is a forensic expert, founder of Aristotle AI, entrepreneur, political commentator, satirist, and investigative journalist covering lawfare, media control, investment, real estate, and geopolitics. His work examines how legal systems are weaponized, how capital flows shape policy, how artificial intelligence concentrates power, and what democracy loses when courts and markets become battlefields. Active in the German and international media landscape, his analyses appear regularly on this platform. Full bio โ†’ | Support the investigation โ†’