Algorithmic WarfareEthics & AccountabilityJul 6, 2026, 11:24 AM· 4 min read· #6 of 6 in ai

Israeli Military AI System Processed 850,000 Targets in Gaza and Lebanon, Defense Contractor Reveals

Elbit Systems disclosed that its Tzayad digital command program identified 850,000 real-time targets over two years of conflict, sparking intense debate over the feasibility of human oversight in AI-driven warfare.

By Factlen Editorial Team

Defense and Operational 35%Targeting and Legal Experts 35%Human Rights Advocates 30%
Defense and Operational
Argue that AI systems are essential for processing vast amounts of battlefield data to protect friendly forces and accurately identify threats in high-tempo operations.
Targeting and Legal Experts
Warn that the sheer volume of AI-generated targets makes meaningful human oversight and collateral damage assessment impossible.
Human Rights Advocates
Contend that the reliance on automated targeting systems facilitates disproportionate warfare and mass civilian casualties without accountability.

What's not represented

  • · Civilians living in the targeted areas
  • · Independent algorithmic auditors

Why this matters

The unprecedented scale of AI deployment in active combat zones is fundamentally altering the speed of warfare, raising urgent questions about international humanitarian law and whether human operators can meaningfully assess collateral damage when algorithms generate up to 1,000 targets a day.

Key points

  • Elbit Systems revealed its Tzayad digital army program identified 850,000 real-time targets in Gaza and Lebanon between October 2023 and the end of 2025.
  • The system generated an average of 1,000 potential targets per day by aggregating massive streams of battlefield data.
  • Elbit later clarified the figure represented aggregated system activity and operational data, not necessarily confirmed enemy targets or strikes.
  • Former military targeting experts warned that thoroughly assessing collateral damage for 1,000 targets a day is humanly impossible.
  • The revelation adds to growing scrutiny over the IDF's use of AI systems like Lavender and Habsora to automate target generation.
850,000
Real-time targets/data points identified
~1,000
Potential targets generated per day
20 seconds
Reported human review time per AI target

A major Israeli defense contractor has revealed that its digital command system identified 850,000 potential targets during the first two years of the conflicts in Gaza and Lebanon, highlighting the unprecedented scale of artificial intelligence in modern warfare. The figure was disclosed during a land warfare conference hosted by the Royal United Services Institute (RUSI) in London.[1][3][4]

Miki Edelstein, an executive vice-president at Elbit Systems and a reservist major general in the Israel Defense Forces (IDF), presented the data to an audience that included senior British and NATO military commanders. A presentation slide detailing the IDF's "high-tempo operations" cited the generation of 850,000 "real-time intel targets" between October 2023 and the end of 2025.[1][4]

The system in question, known as the Tzayad (Hunter) digital army program, is designed to map the battlefield by tracking the positions of friendly units alongside detected enemy personnel, vehicles, and infrastructure. By aggregating vast streams of sensor data, the software aims to provide a comprehensive operational picture for tactical decision-making.[1]

Data presented by Elbit Systems illustrated the immense volume of operational data processed by the Tzayad system.
Data presented by Elbit Systems illustrated the immense volume of operational data processed by the Tzayad system.

Following the presentation, Elbit Systems sought to clarify the staggering figure. A company spokesperson stated that the 850,000 number reflected "aggregated system activity and operational data" processed by the software across all theaters, rather than a direct count of confirmed enemy targets or actual military strikes.[1]

Despite the clarification, the sheer volume of data—averaging roughly 1,000 potential targets generated per day—has alarmed military analysts and targeting experts. Wes Bryant, a former senior targeting adviser at the US Pentagon, stated that it is definitively impossible for human operators to thoroughly assess collateral damage and civilian risk at such a massive scale.[1][2]

Despite the clarification, the sheer volume of data—averaging roughly 1,000 potential targets generated per day—has alarmed military analysts and targeting experts.

"Even characterizing 50 a day is hard enough," Bryant noted, emphasizing that the legal and ethical requirements of warfare demand rigorous human evaluation that algorithms cannot replace. The reliance on automated systems at this volume raises profound questions about compliance with international humanitarian law.[1][2]

The Tzayad program is part of a broader suite of AI tools deployed by the IDF. Previous reports have detailed the military's use of AI-powered databases, such as "Lavender" and "Habsora" (The Gospel), which were specifically designed to rapidly identify suspected militants and recommend infrastructure for bombardment.[1][5]

AI targeting systems rely on vast streams of data collected by drones and aerial surveillance.
AI targeting systems rely on vast streams of data collected by drones and aerial surveillance.

During the early stages of the Gaza conflict, systems like Lavender reportedly generated lists of tens of thousands of individuals based on their apparent links to militant groups. Intelligence officers disclosed that human review of these AI-generated targets was sometimes reduced to a mere 20 seconds per recommendation, effectively treating the machine's output as a human decision.[1][5]

Regional media and human rights advocates have pointed to these figures as evidence of a systemic reliance on algorithms that blurs accountability. Critics argue that the automation of the kill chain has directly contributed to the high civilian death tolls and widespread infrastructure destruction observed in densely populated areas of Gaza and southern Lebanon.[2][5]

Conversely, defense contractors argue that AI is an indispensable tool for cutting through the "fog of war." In complex urban environments where adversaries utilize subterranean networks and civilian infrastructure, proponents maintain that rapid data processing is essential to protect friendly forces and identify fleeting threats.[1]

The integration of AI into military targeting has accelerated significantly over the past five years.
The integration of AI into military targeting has accelerated significantly over the past five years.

The revelations at the RUSI conference underscore how closely Western militaries are observing the integration of these novel capabilities. With NATO commanders in attendance, the presentation served as both a showcase of technological prowess and a stark preview of future military operations.[1][4]

As artificial intelligence continues to accelerate the pace of conflict, the international community faces an urgent challenge. The debate over the Tzayad system's 850,000 data points illustrates a fundamental tension: balancing the military desire for total battlefield awareness against the legal and moral imperative of human judgment in life-and-death decisions.[1][2][4]

How we got here

  1. 2019

    IDF establishes a dedicated targeting directorate to preemptively generate target banks.

  2. May 2021

    Israel utilizes AI systems like 'Habsora' in combat, dubbed the first 'AI War'.

  3. Oct 2023

    The Tzayad digital army program is deployed at scale across Gaza and Lebanon theaters.

  4. July 2026

    Elbit Systems reveals the system processed 850,000 targets over a two-year period.

Viewpoints in depth

Defense and Operational View

Emphasizes the necessity of AI in managing modern battlefield complexity.

For military commanders and defense contractors like Elbit Systems, AI is an indispensable tool for cutting through the 'fog of war.' In high-tempo urban combat, adversaries often move quickly through subterranean networks or civilian infrastructure. Systems like Tzayad are designed to aggregate massive streams of drone footage, intercepted communications, and sensor data to provide a coherent operational picture. Proponents argue that by rapidly mapping both friendly positions and emerging threats, these systems protect troops and theoretically allow for more precise engagements than manual analysis could achieve.

Targeting and Legal View

Focuses on the breakdown of human oversight and collateral damage protocols.

Military legal experts and former targeting advisers warn that the sheer volume of AI output fundamentally breaks the legal requirement for human judgment in warfare. When a system generates 1,000 potential targets a day, the human role is often reduced to a rapid 'rubber stamp'—sometimes reportedly as brief as 20 seconds per target. Experts like Wes Bryant argue that at this scale, it is physically impossible to conduct the rigorous collateral damage estimates and proportionality assessments required by international humanitarian law, effectively delegating life-and-death decisions to algorithms.

Human Rights and Regional View

Highlights the human cost and the ethical implications of automated warfare.

Regional media and human rights organizations view the deployment of systems like Tzayad, Lavender, and Habsora as the mechanization of mass casualties. Critics argue that treating AI outputs as objective intelligence obscures the inherent biases and error rates of the algorithms. By framing the generation of 850,000 'data points' as a technological success, advocates contend that militaries are sanitizing the devastating reality on the ground, where automated target generation has correlated with unprecedented levels of civilian displacement and infrastructure destruction in Gaza and Lebanon.

What we don't know

  • Exactly what percentage of the 850,000 identified data points resulted in actual kinetic strikes.
  • The specific error rate of the Tzayad system in distinguishing between combatants and civilians.
  • How allied Western militaries plan to adapt their own legal frameworks in response to the rapid automation of targeting.

Key terms

Tzayad (Hunter)
A digital army command program developed by Elbit Systems that maps friendly and enemy positions in real time.
Habsora (The Gospel)
An AI system used by Israeli intelligence to automatically review surveillance data and recommend buildings or infrastructure for bombing.
Lavender
An AI-powered database used to identify and list tens of thousands of individuals suspected of militant affiliations.
Kill Chain
The military process of identifying a target, dispatching forces, initiating an attack, and destroying the target.

Frequently asked

What is the Tzayad system?

Tzayad is a digital command and control program developed by Elbit Systems that uses AI to map battlefield data, track friendly forces, and identify potential enemy targets in real time.

Did the system actually order 850,000 strikes?

No. While a presentation slide labeled them 'real-time intel targets,' Elbit Systems clarified that the number represents aggregated operational data and system activity, not actual strikes carried out.

Why are experts concerned about this technology?

Military targeting experts argue that generating 1,000 targets a day makes it impossible for human analysts to thoroughly review each one for legal compliance and potential civilian collateral damage.

Sources

Source coverage

5 outlets

3 viewpoints surfaced

Defense and Operational 35%Targeting and Legal Experts 35%Human Rights Advocates 30%
  1. [1]The GuardianTargeting and Legal Experts

    Israeli command system identified 850,000 targets in Gaza and Lebanon wars, says supplier

    Read on The Guardian
  2. [2]Al MayadeenHuman Rights Advocates

    850,000 'targets': Experts alarmed by scale of Israeli AI targeting

    Read on Al Mayadeen
  3. [3]The Times of IsraelDefense and Operational

    Israeli command system identified 850,000 targets in Gaza and Lebanon wars, says supplier

    Read on The Times of Israel
  4. [4]Royal United Services InstituteTargeting and Legal Experts

    Land Warfare Conference 2026: Integrating Novel With Core Capabilities

    Read on Royal United Services Institute
  5. [5]+972 MagazineHuman Rights Advocates

    ‘Lavender’: The AI machine directing Israel’s bombing spree in Gaza

    Read on +972 Magazine
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