AI Governance

AI AuditorNew

Audits AI systems, models, and agents across your organisation for security risks, compliance alignment, governance gaps, and bias — giving you the visibility and evidence needed to operate AI responsibly and meet emerging regulatory requirements.

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AI Auditor

AI governance, compliance, and risk auditing

What it does

Key capabilities

AI System Inventory

Discover and catalogue all AI models, agents, and automated decision systems operating across your organisation.

Governance Assessment

Evaluate AI systems against AI governance frameworks — assessing accountability, transparency, and documentation standards.

Risk & Bias Detection

Identify potential bias, fairness issues, and operational risks in deployed AI systems before they cause harm or regulatory exposure.

Security Vulnerability Scanning

Assess AI models and agents for security weaknesses including prompt injection, data leakage, and adversarial manipulation exposure.

Compliance Reports

Generate AI audit reports aligned to emerging regulatory requirements including the EU AI Act and ISO/IEC 42001.

Audit History & Trending

Track AI audit results over time to demonstrate continuous improvement and governance maturity to regulators and leadership.

Highlights

Why AI Auditor?

  • AI system and agent inventory across your entire organisation
  • Governance gap assessment against EU AI Act and ISO/IEC 42001
  • Security vulnerability scanning for AI models and agents
  • Bias and fairness risk detection in deployed AI
  • Audit-ready compliance reports for regulators and board
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Included in OneView

AI Auditor is part of the Hakware OneView platform. All findings, events, and data from this module flow into your central dashboard alongside every other security signal in your environment.

24/7 Support Available
Phone: +27 060 984 1210
FAQs

Frequently asked questions

AI Auditor can assess any AI system in your organisation — machine learning models used in business processes, AI agents (autonomous or human-in-the-loop), automated decision systems using AI outputs, large language model integrations, and AI tools purchased from third-party vendors. The inventory covers both internally built and externally procured AI.

The security assessment evaluates AI models and agents for prompt injection susceptibility (can an attacker manipulate inputs to override instructions?), data leakage risks (does the model expose training data or system prompts?), and adversarial manipulation exposure (can the model's outputs be reliably manipulated to produce false results that trigger unsafe downstream actions?).

The EU AI Act classifies AI systems by risk level and imposes documentation, testing, and oversight requirements proportionate to that risk. AI Auditor maps your inventoried AI systems to EU AI Act risk categories (unacceptable, high, limited, minimal), identifies which obligations apply to each system, and tracks compliance status — generating audit evidence for regulatory submissions.

AI systems used in security — anomaly detection, risk scoring, access decisions — can exhibit bias if training data is not representative, leading to under-detection for certain user populations or over-flagging of others. AI Auditor's bias assessment identifies statistical disparities in model outputs across demographic or behavioural segments before these biases create compliance or litigation exposure.

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See AI Auditor in action

Request a personalised demo and we'll show you exactly how AI Auditor works within your environment.

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