Automate Kubernetes incident investigation and governed rollbacks with SteadyState, and stress-test customer-facing AI agents against chaos scenarios with D-AgentProving.
Each workflow pairs local or self-hosted execution with explicit policy boundaries and auditable operator sign-off.
Eliminate manual log hunting during 2 AM pages. SteadyState correlates OOMKills, latency spikes, and bad rollouts, runs preflight dry-runs, and prepares one-click Entra ID approved rollbacks.
Connect your product's AI agents to persistent synthetic twins of payments, ticketing, and databases. Inject rate limits, schema drift, and adversarial inputs before shipping to customers.
Model service dependencies and verify that proposed infrastructure or agent changes cannot violate production safety invariants.
How data, models, policy gates, and human approvals interact inside your environment.
D-AgentProving stress-tests new agent versions against chaos suites and issues a Merkle Certificate of Assurance.
SteadyState monitors production AKS/Kubernetes workloads, correlating alerts with recent deployment diffs.
D-TwinVoke / AGP verifies blast radius and enforces dry-run + SRE approval in Slack/Teams.
Completed incident outcomes update diagnostic weights within fixed namespace permissions.
Combine our commercial platforms and open runtime stack around your deployment constraints.
Inspect the deployment model, data-residency boundaries, and runtime architecture for your environment.
Explore SteadyState Autonomous Platform →See how governed autonomy, policy checks, and tamper-evident audit receipts apply to Technology & SaaS.
Explore D-AgentProving Ground →Tell us about your infrastructure, compliance boundaries, and operational bottlenecks. We will scope a measurable pilot with your engineering team.