AEGIS System Principles

Architectural Enforcement & Governance of Intelligent Systems

Version: 0.2
Status: Informational
Part of: AEGIS Architecture
Author: Kenneth Tannenbaum
Last Updated: March 6, 2026


Purpose

These principles are normative architecture rules for AEGIS. They define what must remain true for the system to be secure, governable, and auditable.

P1: Bounded Capability

Rule:

Implementation check:

P2: Complete Mediation

Rule:

Implementation check:

P3: Default Deny

Rule:

Implementation check:

P4: Deterministic Governance

Rule:

Implementation check:

P5: Auditability

Rule:

Implementation check:

P6: Explicit Authority Boundaries

Rule:

Implementation check:

P7: Fail-Closed Safety

Rule:

Implementation check:

P8: Least Privilege by Construction

Rule:

Implementation check:

P9: Policy Integrity

Rule:

Implementation check:

P10: Human Accountability for Exceptions

Rule:

Implementation check:

Standards Alignment

These principles collectively implement the GOVERN and MANAGE functions of the NIST AI Risk Management Framework (AI RMF 1.0),5 the risk management, record-keeping, and quality management requirements of the EU Artificial Intelligence Act,6 and the operational control and monitoring obligations of ISO/IEC 42001:2023.7

Principle Compliance Review

Each release SHOULD include a principle compliance checklist proving:


References

Footnotes

  1. J. P. Anderson, “Computer Security Technology Planning Study,” Deputy for Command and Management Systems, HQ Electronic Systems Division (AFSC), Hanscom Field, Bedford, MA, Tech. Rep. ESD-TR-73-51, Vol. II, Oct. 1972. See REFERENCES.md. ↩

  2. J. H. Saltzer and M. D. Schroeder, “The protection of information in computer systems,” Proc. IEEE, vol. 63, no. 9, pp. 1278–1308, Sep. 1975, doi: 10.1109/PROC.1975.9939. See REFERENCES.md. ↩ ↩2 ↩3

  3. F. B. Schneider, “Enforceable Security Policies,” ACM Transactions on Information and System Security (TISSEC), vol. 3, no. 1, pp. 30–50, Feb. 2000, doi: 10.1145/353323.353382. See REFERENCES.md. ↩ ↩2

  4. S. Rose, O. Borchert, S. Mitchell, and S. Connelly, “Zero Trust Architecture,” National Institute of Standards and Technology, Gaithersburg, MD, NIST Special Publication 800-207, Aug. 2020, doi: 10.6028/NIST.SP.800-207. See REFERENCES.md. ↩

  5. National Institute of Standards and Technology, “Artificial Intelligence Risk Management Framework (AI RMF 1.0),” NIST AI 100-1, U.S. Department of Commerce, Jan. 2023, doi: 10.6028/NIST.AI.100-1. See REFERENCES.md. ↩

  6. European Parliament and Council of the European Union, “Regulation (EU) 2024/1689 laying down harmonised rules on artificial intelligence (Artificial Intelligence Act),” Official Journal of the European Union, 12 Jul. 2024. See REFERENCES.md. ↩

  7. International Organization for Standardization and International Electrotechnical Commission, “Information technology — Artificial intelligence — Management system,” ISO/IEC 42001:2023(E), Geneva, Switzerland, Dec. 2023. See REFERENCES.md. ↩