Policy-defined authority
Authority is scoped to a named environment, action class, and condition. A confidence score cannot grant permission.
Trust and safe autonomy
Control first. Then machine speed.
Grant authority explicitly, test it before use, and withdraw it when conditions change. Ollandi checks permission at execution time and escalates when evidence, policy, or service constraints do not support action.
Principles
The boundaries that govern execution
Review authority, uncertainty, recovery, and accountability before enabling a response path.
Inspectable reasoning
Review supporting and conflicting evidence, confidence, and missing context. Uncertainty can require a narrower action or escalation.
Recovery planned by action class
Supported actions have defined rollback paths. High-impact or irreversible actions require explicit human approval.
Verifiable evidence
Authority grants, policy checks, approvals, refusals, and overrides remain available for review.
How it stays trustworthy
Evaluate failure behavior as well as capability
Use incident replay and observation-only operation to inspect proposals, missed findings, and inappropriate actions before enabling execution.
- Historical incident replay
- Containment speed and accuracy
- Evidence completeness
Inspect whether conclusions follow the available evidence and whether conflicting signals change the assessment. A plausible explanation alone is insufficient.
- Evidence-linked reasoning
- Confidence on every decision
- Override at any time
Ollandi is tested against real environments, adversarial behavior, and attempts to manipulate it, including compromised agents and poisoned policy.
- Adversarial evaluation
- Boundary testing
- Continuous monitoring
Deployment path
Authority earned through evaluation
Expand permission only when observed behavior meets your acceptance criteria. Narrow or revoke it when evidence quality or operating conditions deteriorate.
Connect
Validate telemetry quality, source integrity, and the observation scope.
Prove
Test ambiguous incidents, policy conflicts, and loss of required context.
Defend
Grant named actions with runtime checks, escalation owners, and recovery procedures.
Glemad safety frameworks
The commitments behind Ollandi
Ollandi is built under Glemad's published safety, evaluation, and deployment frameworks.
Safety overview
How Glemad approaches safety across research, models, and products.
Read the overviewModel evaluation and red teaming
How models are tested against real environments and adversarial behavior.
Read about evaluationSafe autonomy framework
Where autonomous systems may act, and where they must stop.
Read the frameworkPrinciples of trusted intelligence
What makes machine reasoning worth relying on.
Read the principlesResponsible deployment
How Glemad introduces and discloses capability in the field.
Read the frameworkCompliance and governance
How Glemad governs its systems and supports customer obligations.
Read about governanceSpeed without control is a risk.
David Idris, CEO, Glemad
FAQ
Frequently asked questions
Yes. Incident replay and observation-only operation let you inspect findings and response proposals without changing the environment. Replay results depend on the evidence available.
Your organization, through policy. You define which action classes may run on their own and which need sign-off, with separation of duties built in.
Authorized operators can stop further execution and revoke or narrow authority. Supported rollback procedures apply to eligible actions; an override cannot undo an irreversible effect.
The system preserves uncertainty and blocks or escalates actions that lack required evidence, authority, or quorum. Missing information is not treated as confirmation that a service is healthy.
Get started
Review the boundaries for your deployment
Discuss the failure scenarios, approvals, and assurance requirements your team needs to evaluate.