The Assurance Layer for AI Systems
Assurance for Intelligent Systems.
Trust for Human Ones.
Piscys is the runtime governance and assurance platform for advanced AI systems — an independent control layer designed to make AI actions auditable, governable, and defensible in operation.
We sit between intelligence and action: producing decision-grade justification records, enabling proportional interventions as risk escalates, and governing authority over constraints and overrides across models, agents, and workflows.
If your organization is deploying high-consequence AI, Piscys helps CISOs, risk leaders, and counsel reduce operational risk, regulatory exposure, and incident impact — without vendor lock-in.
Request early access to discuss lighthouse pilots and co-development.
Why AI Needs Assurance
AI Is Moving Faster
Than Governance
The speed of AI integration is a board-level risk as systems become autonomous and decisions become automated.
The Control Gap
Most organizations can monitor and explain after the fact. They cannot prove control or intervene at runtime.
AI systems already influence credit access and clinical care decisions at scale without runtime controls.
This is board-level liability.
Transparency
Opaque Systems
↓
No Clear Audit Trail or Explainability
Security
Human Risk
↓
Deepfakes, Misinformation, Ethical Breaches
Governance
Fragmented Compliance
↓
EU AI Act, NIST, ISO – Complex and Inconsistent
Our Solution
The Assurance Ecosystem for AI
Piscys unifies security, ethics, and governance through three recursive engines and human-in-the-loop oversight that co-evolves with your AI.
Provenance Ledger
Immutable Evidence
for Every AI Decision
A cryptographically verifiable record of how data, models, and agents evolve over time — enabling tamper-proof audit trails, regulatory-grade evidence, and end-to-end accountability.
Intervention Engine
Monitors Autonomous Agent Actions and Emergent Behavior
Continuously observes AI and agent behavior across workflows — capturing actions, deviations, and emergent patterns in real time to prevent harmful outputs, enforce guardrails, and maintain integrity.
Custody
Engine
Control, Containment,
and Chain-of-Custody
for High-Risk AI
Enforces who can do what, when, and why across AI workflows — with policy-based permissions, escalation gates, and quarantine paths for sensitive actions. Creates a defensible chain-of-custody.
Seeking Vertical Partners
Are You Building or Deploying AI in a Regulated Environment?
Is your organization navigating AI risk, compliance, or governance challenges?
Piscys is engaging early adopters to validate real-world needs, refine our platform, and co-design assurance workflows.
This is not a sales pitch — it’s a conversation.
We are looking for design partners in:
How It Works
From Opaque to Auditable AI in Four Steps
Built on the NIST AI RMF, this four-step flow makes AI governance operational:
Map
Identify models, data sources, and decision-critical workflows — establishing traceability from day one
Measure
Assess compliance and risk gaps against global frameworks — so exposure is visible and prioritizable
Maintain
Automate evidence capture and audits — keeping governance reporting continuously current
Govern
Define accountability, policies, and escalation paths — making oversight enforceable and decisions defensible
Why Piscys?
Proactive Intervention
with Rigor
Our Philosophy
Build systems that protect as they progress, ensure continuous improvement, and adapt through development
Our Method
Aligns with NIST AI RMF and ISO 42001 standards, the EU AI Act, and soon California Senate Bill 53
Our Mission
To make AI trustworthy by design, ensuring alignment, ethics, and compliance are ingrained in its development and deployment
Inspired by ethical principles, grounded in technical precision —
Piscys brings a human-centered approach to AI governance.
At Piscys, we believe in a humanistic approach to AI governance. Our philosophy centers on making AI trustworthy by design, ensuring that ethical considerations are paramount in every decision. We employ rigorous methodologies aligned with NIST AI RMF and ISO 42001 standards to provide comprehensive solutions.
Our methods balance innovation and responsibility, focusing on the cybersecurity aspects of AI while maintaining transparency and accountability. We strive to inspire confidence in AI systems through evidence-based practices and thoughtful compliance with emerging regulations like the EU AI Act.
As we navigate this complex landscape, our mission remains clear: to create an AI ecosystem that is reliable, safe, and built with the needs of people in mind.
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