Provided by Zypero Intellect Pte. Ltd.
AegentIQ continuously monitors AI Agent behaviour in production, giving risk teams audit-ready evidence of stability or drift over time.
Overview

AegentIQ is the Outcomes and Trust Layer for AI Agents in production. While most tools assess agents at deployment, AegentIQ monitors continuously, surfacing behavioural drift before it becomes a compliance or business risk. Its flagship output, AegentScore, is a continuously updated behavioural risk rating, often described as the FICO score for AI Agents. Used by risk and CX teams in banking, insurance, and retail to keep AI Agents accountable as they scale.

  • Industries
  • Banking
  • Insurance
  • Retail
  • Financial services
  • Topics
  • AI and ML
  • Business operations
  • Other
  • Deployment types
  • SaaS
  • On-premises
  • Languages supported
  • Hindi
  • English
  • Regions and countries supported
  • Americas - United States of America, Canada
  • Asia - India, Indonesia, Malaysia, Philippines, Singapore, Thailand, United Arab Emirates, Viet Nam
  • Oceania - Australia, New Zealand
Benefits Catch behavioural drift before it becomes risk
AegentIQ monitors AI Agents continuously after deployment, surfacing drift in outputs and behaviour long before the next scheduled audit.
A trust score built for AI Agents
AegentScore gives every AI Agent a continuously updated behavioural risk rating, like a FICO score, so risk teams can act on evidence, not guesswork.
Audit-ready evidence, not just dashboards
Built for CROs and AI governance leads who need behavioural reports they can defend to auditors and regulators, not raw monitoring data.
Framework-agnostic, no SDK required
Works across any AI Agent framework with no code integration. Just a data export, so risk teams get visibility without engineering lift.
Behavioural continuity, not a snapshot
Most tools assess agents once at deployment. AegentIQ tracks behaviour over time, so you see the full pattern, not a single point in time.
Built to work with watsonx.governance
AegentIQ integrates with IBM watsonx.governance for full-stack evidence, while remaining usable independently of any single vendor stack.
Key features
AegentScore: a continuously updated behavioural risk rating for every AI Agent, modelled like a FICO score for fast, comparable risk reads.
Continuous post-deployment monitoring that tracks AI Agent behaviour over time, not just a one-time assessment at launch.
Drift detection across an agent's full output history, surfacing anomalies and behavioural shifts before they compound.
Framework-agnostic ingestion. No SDK or code integration required, just a data export to get started.
Explains why an interaction was scored the way it was, giving risk teams a clear behavioural rationale, not a black box.
Configurable metrics and weights let teams tune AegentScore to their own risk priorities and use cases, not a fixed one-size-fits-all formula.
Information about the companies and solutions listed in this directory is provided by each company and is not validated by IBM unless otherwise noted.