AIRE Agentic Mesh™ orchestrates policy-guided remediation agents across your cloud and AI control gaps — with human approval gates, automated fix verification, and immutable audit trails built in.
Alpha access available. AIRE is in active Alpha development. Core playbook execution and verification engine are running in controlled environments. Request access to shape the product before GA.
Submit remediation requests, track agentic fix progress, monitor playbook execution, and generate audit-ready evidence — all from one portal your security and compliance teams share.
AIRE's agentic mesh architecture separates orchestration, execution, and verification — so every fix is traceable from trigger to close.
Routes findings from CloudSignals+RiskOps™ to the right remediation playbook based on resource type, severity, and organizational policy.
Policy-guided agents execute remediation steps — from IAM permission changes to security group corrections — with configurable human approval checkpoints.
After every remediation action, the verification engine re-scans the affected resource and produces a signed evidence record suitable for audit review.
Every AIRE action produces verifiable evidence — turning remediation from a manual process into an automated, auditable workflow.
Predefined and custom playbooks guide agents through multi-step remediation sequences with conditional branching, retries, and failure handling built in.
Configure mandatory approval checkpoints before agents execute high-risk changes. Approvals are timestamped, attributed, and stored as audit evidence.
Two-way sync with Jira, ServiceNow, and generic ITSM platforms. Remediation status flows back to tickets automatically, eliminating manual status updates.
Every fix triggers an automatic re-scan of the affected resource. Pass/fail verification results are attached to the remediation record and visible in CloudSignals.
Every agent action — read, write, approval, rollback — is logged with actor identity, timestamp, and resource context in an append-only audit log.
Coordinate specialized agents (IAM, network, storage, compute) in parallel. The mesh layer routes tasks, manages dependencies, and aggregates results.
Yes — AIRE Agentic Mesh™ is a remediation layer that connects to CloudSignals+RiskOps™ for finding context, risk prioritization, and evidence linking. CloudSignals is available now and can be deployed in under 15 minutes.
AWS, Azure, and GCP. AIRE agents use your existing cloud credentials (IAM roles) and execute only actions within the policy scope you define. Least-privilege role definitions are provided for each cloud provider.
Approvals are routed via email, Slack, or Teams notifications. Approvers review a dry-run summary of the proposed changes before authorizing. All approval events are timestamped and stored in the audit trail.
Yes — before execution, AIRE captures the current resource state. If a remediation causes downstream issues, a one-click rollback restores the previous configuration and logs the rollback event as evidence.
Each remediation workflow produces: a before/after configuration diff, actor attribution, approval timestamps, verification re-scan result, and an exportable audit bundle (PDF/JSON). These are accepted as SOC 2, ISO 27001, and CMMC evidence artifacts.
AIRE is currently in Alpha. GA is targeted for Q3 2026. Alpha access is available for CloudSignals+RiskOps™ customers who want to influence the roadmap.
AIRE Agentic Mesh™ is in Alpha. Join the waitlist to get early access and help shape the future of autonomous cloud remediation.
Share your interest and we will alert you when this solution is ready.