WHY THIS MATTERS
Most enterprise teams can tell you what their AI produced. Very few can tell you why it made that decision, whether it stayed within policy, or how its behaviour has changed since go-live.
That gap is where regulatory risk lives. It is where reputational incidents start. And it is where audit failures happen.
Disseqt closes that gap giving enterprises independent verification, complete traceability, and the audit evidence regulators require across the full AI lifecycle.
HOW IT WORKS
PRE-DEPLOYMENT
01
Simulate your AI under real-world and adversarial conditions
02
Stress-test performance under production-level load
03
Validate behaviour against your internal
policies
04
Red team against 84+ jailbreak techniques with the Disseqt Platform
05
Generate a pre-deployment risk report your governance team can sign off on
POST-DEPLOYMENT
01
24/7 monitoring of AI agents and agentic workflows
02
Drift detection, alerts when behaviour deviates from validated baselines
03
Vulnerability and anomaly alerts within minutes of detection
04
Automated audit trails with complete traceability for regulators
05
Aligned to EU AI Act, NIST AI RMF, and ISO 42001 out of the box
What is AI Assurance and how is it different from AI governance?
AI governance defines the policies, structures, and principles an organisation uses to oversee AI. AI Assurance is the operational layer that produces evidence that policies are being followed in live systems. Governance sets the standard. Assurance provides proof.
Is AI Assurance required under the EU AI Act?
Does ISO/IEC 42001 replace AI Assurance?
Does AI Assurance apply to agentic AI systems?
