:: CORE DIRECTIVE

Restoring Control in AI Systems

High-stakes environments demand zero tolerance for drift. Potestas AI exists to close the gap between AI promise and operational reality.

Our Core Principles

01

Transparency First

Every test result is independently verifiable. We do not hide failures — we quantify them so they can be fixed.

02

Forensic Rigor

Our methodology is systematic, repeatable, and documented to the turn for independent review.

03

Operational Accountability

We guarantee results. If our audit cannot surface vulnerabilities in your system, you pay nothing.

04

No Retraining Required

GLBM-X™ wrappers harden your existing model at runtime. No vendor dependency. No disruption to production.

05

Air-Gap Compatible

Built for environments where external connectivity is not an option. SCIF-ready, offline-capable architecture throughout.

06

Sustained Hardening

Reliability is not a one-time audit. AI COP’s 10-agent grid monitors and re-validates continuously across your deployment lifecycle.

SCROLL
THE PROBLEM

AI Systems Drift.
Missions Don’t Forgive Drift.

Large language models degrade silently in production. Prompt injection, hallucination cascades, and semantic drift compound over time — eroding the reliability of systems that operators depend on with their missions and their lives.

Without continuous validation, even the most capable model becomes a liability. The gap between benchmark performance and real-world reliability is where failure lives — and adversaries know it.

UNMITIGATED BASELINE
Average LLM Failure Rate60–90%
POST-GLBM-X™ MITIGATION
Failure Rate After Hardening~10–15%
SEMANTIC ERROR RATE (SCOPED)
Within Defined Scope0%
LEADERSHIP

Joseph Cirello

With over 25 years in high-accountability operations, Joseph Cirello brings a practitioner’s perspective to AI reliability. His career spans high-assurance environments where system failure is not an abstract risk — it is a mission-ending event.

That experience now drives Potestas AI’s methodology: treat every AI deployment as a mission-critical system, subject it to the same forensic scrutiny applied to intelligence assets, and accept nothing less than verifiable reliability.

High-Assurance OperationsRegulated DeploymentsAI Safety ResearchEnterprise ArchitectureNIST FrameworksAdversarial Testing
COMPLIANCE & STANDARDS

NIST AI RMF

Full alignment with the AI Risk Management Framework.

OWASP LLM Top 10

Systematic testing against all ten large language model vulnerabilities.

ISO 42001

AI management system standard for responsible development and deployment.

SOC 2 Type II

Continuous security controls validated through independent audit.

WHERE WE OPERATE

High-Stakes Sectors

Public Sector & Regulated Operations

High-assurance AI for regulated environments with zero tolerance for error.

Financial Services

Hardened models for trading, risk assessment, and regulatory compliance.

Logistics & Supply Chain

Reliable AI orchestration across global supply networks and fleet operations.

Critical Infrastructure

Resilient systems for energy grids, water treatment, and transportation networks.

Align with the Mission

Start with a forensic audit. Know exactly where your system fails before your adversaries do.