{"id":93,"date":"2026-02-08T19:24:15","date_gmt":"2026-02-08T19:24:15","guid":{"rendered":"https:\/\/real-e3systems.com\/?page_id=93"},"modified":"2026-03-04T14:54:47","modified_gmt":"2026-03-04T14:54:47","slug":"field-guard","status":"publish","type":"page","link":"https:\/\/real-e3systems.com\/en\/field-guard\/","title":{"rendered":"Field Guard"},"content":{"rendered":"\n
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FIELD GUARD v2.0<\/figcaption><\/figure>\n\n\n\n
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Field Guard \u2014 A Contraction\u2011Based Stabilizer for Real\u2011World Systems<\/h1>\n\n\n\n

Field Guard is a mathematically guaranteed stability layer for real-time AI, multi-agent, and cyber-physical systems. It provides global exponential stability using a lightweight contraction rule, making it suitable for robotics, autonomous transport, energy systems, cyber-physical infrastructure, and AI-driven decision loops.<\/p>\n\n\n\n

Field Guard v2.0 is implemented in 187 lines of executable Python<\/strong>. It requires no GPU, runs on consumer hardware, and in external wrapper mode governs any target system with zero modification<\/strong> \u2014 no access to model weights, internals, or architecture required.<\/p>\n\n\n\n

Field Guard stands on its own as a general-purpose stability engine<\/strong>, and it also forms the safety and stability layer<\/strong> of the REAL-E3 augmented-intelligence architecture.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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Two Deployment Modes<\/h2>\n\n\n\n
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Mode A \u2014 Self-Assessment<\/h3>\n\n\n\n

A minimal self-assessment block is added to the system prompt. The target system reports its own behavioural state. Field Guard governs using this signal. Achieves mean 59.3% drift reduction under adversarial conditions.<\/p>\n\n\n\n

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Mode B \u2014 External Wrapper<\/h3>\n\n\n\n

Field Guard derives its governing signal entirely from observable behavioral properties of each response \u2014 length, latency, sentiment, vocabulary, and sentence structure. The target system is not modified in any way.<\/strong> No system prompt changes. No cooperation required. Achieves mean 52.9% drift reduction across real-world human scenarios.<\/p>\n\n\n\n

The choice between modes belongs to the operator. Both are certified against the same ISS bound.<\/p>\n\n\n\n

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Field Guard is mathematically proven and empirically validated across 13 independent harnesses \u2014 covering adversarial LLM attacks, real human conversational dynamics, identity pressure, emotional turbulence, and a 24-agent national crisis simulation.<\/p>\n<\/blockquote>\n<\/div>\n<\/div>\n\n\n\n

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What Field Guard Does<\/h2>\n\n\n\n
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Maintains Stability Under Uncertainty<\/h3>\n\n\n\n

Field Guard keeps systems stable even when conditions shift rapidly. It monitors a simple contraction score and applies damping only when needed, ensuring predictable behavior under noise, disturbances, or multi\u2011agent interaction.<\/p>\n\n\n\n

Validated Results<\/h2>\n\n\n\n
Scenario<\/th>Drift Reduction<\/th>Mode<\/th><\/tr><\/thead>
Adversarial LLM attacks (6 types)<\/td>57.2%<\/td>Self-assessment<\/td><\/tr>
Real human conversation (8 states)<\/td>52.3%<\/td>External wrapper<\/td><\/tr>
Identity pressure (7 role phases)<\/td>48.5%<\/td>External wrapper<\/td><\/tr>
Emotional turbulence (6 phases)<\/td>57.9%<\/td>External wrapper<\/td><\/tr>
24-agent national crisis simulation<\/td>43.0%<\/td>Synthetic<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

In the 24-agent national crisis simulation, the governed system recovered to steady state within 1 turn<\/strong> after peak blackout stress. The ungoverned system did not recover within the simulation window.<\/p>\n\n\n\n

In no harness did the governed system exceed the certified ISS bound. Zero certificate violations.<\/strong><\/p>\n<\/div>\n<\/div>\n\n\n\n

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Prevents Drift, Oscillation, and Divergence<\/h3>\n\n\n\n

Field Guard suppresses drift, oscillation, runaway feedback loops, and destabilizing transitions. This makes it ideal for safety\u2011critical environments where unpredictable behavior is unacceptable.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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Ensures Predictable Multi\u2011Agent Behavior<\/h3>\n\n\n\n

Field Guard enforces bounded, non\u2011coercive interactions between agents. It stabilizes updates, prevents destabilizing transitions, and ensures coherent multi\u2011agent coordination \u2014 essential for robotics, autonomy, and AI governance.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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Provides Mathematical Guarantees<\/h3>\n\n\n\n

Field Guard is grounded in contraction theory and Lyapunov stability, giving it:<\/p>\n\n\n\n