AI SRE Agents

Prevent incidents
and resolve the rest

Lightrun is the only AI SRE that creates runtime evidence. Catch risks early, prove root causes, and validate fixes against live system behavior, all without a redeploy.

Book a Demo Try For Free

Trusted by engineering teams at Fortune 500s

AI SRE Agents That Prevent and Resolve Incidents | Lightrun
AI SRE Agents That Prevent and Resolve Incidents | Lightrun
AI SRE Agents That Prevent and Resolve Incidents | Lightrun
AI SRE Agents That Prevent and Resolve Incidents | Lightrun
AI SRE Agents That Prevent and Resolve Incidents | Lightrun
AI SRE Agents That Prevent and Resolve Incidents | Lightrun

AI SRE agents need the full picture of how your systems actually run

Issues can have roots anywhere in your stack

The cause can sit in code, infra, or a third-party integration. Agents tied to one platform can miss the key evidence.

!

Every reliability stack is built differently

Your architecture, runbooks, and on-call processes are unique. Agents need to be customized to your setup.

AI traffic exposes code paths nobody logged

AI-driven traffic reaches code paths no one instrumented. Agents need to capture live data at the point of failure.

Meet your team
of AI SRE agents

Each agent works across your full stack and reports where you need, wherever your team works, from Slack and Teams incident channels, to Azure Boards.

Prevention Agent

Flags emerging errors and degradations, and recommends mitigations before they escalate into incidents.

Detects errors and latency spikes in live execution data
Links early signals to recent configs, deploys, and changes
Offers early mitigations, with supporting evidence attached
Book a Demo

Every source your incidents touch,
in one operational context

Your agents draw on the tools you already run, plus live evidence Lightrun captures from running code in every environment.

Context sources

Custom MCPs Connect in-house tools and internal APIs your team relies on.
Operational context
Dynamic instrumentationLogs, snapshots, traces Runtime evidenceLive values, call paths, latency

Live environments

Staging Pre-prod Prod

Agents

Prevention Agent
Investigation Agent
Remediation Agent
Knowledge Agent
Findings delivered to Slack Microsoft Teams Azure Boards IDE and AI tools via MCP + more

Ask prod anything.
Every time.

Deterministic engineering, where your AI validates its every decision in live runtime context.

What caused this incident?
Which commit introduced this regression?
What's the value when the call fails?
Which code path is failing in prod?
Is the rollback actually working?
Which team owns this service?
Why did p99 latency jump?

Your incident lifecycle, run by one agentic workforce

Catch issues early, resolve them fast, and turn every incident into lasting reliability.

Know how your system actually runs

Get a live model of your services, dependencies, and runtime behavior that stays current as your architecture changes.

Replace static docs and diagrams with a model that updates itself
See how your software behaves across all data sources at once
Get recommendations for designing changes that stay reliable

Stop issues before they become incidents

Surface potential errors and latency spikes from live services as they emerge.

Compare live behavior with your normal baseline
Links each signal to recent deploys, commits, and config changes
Route what matters to the owning team with evidence attached

Prove the root cause without a redeploy

Trace every issue and its blast radius across your code, telemetry, and infrastructure, then gather live evidence at the failure point to fill the gaps.

Build one evidence chain across code, logs, metrics, and changes
Capture snapshots and dynamic logs from running code
Identify the exact code path causing an issue

Restore service fast, then fix it for good

Get the fastest safe mitigation and a permanent fix, each validated against live behavior so your team acts with confidence.

Confirm mitigations like rollbacks work while the incident is live
Simulate the permanent fix against live behavior before rollout
Approve every change with the evidence in view

Confirm recovery and capture what worked

Check the fix held with temporary telemetry, then turn every incident into a postmortem and knowledge for the next one.

Attach root cause analysis to Jira tickets automatically
Enrich runbooks with real production evidence
Build operational context from each investigation

Agentic solutions,
ready for your enterprise

Lightrun's Forward Deployed Engineers customize our agents to your landscape, connecting them to your systems and workflows.

You scope it

Share the systems, documentation, and the processes you need to run.

We shape it

Lightrun grounds the agent in your estate, data, and processes.

You stay in control

Permission settings, RBAC, and audit logs keep your team in control.

Secure by design, enterprise grade.

Securely supporting the largest companies in the world across regulated industries

AI SRE Agents That Prevent and Resolve Incidents | Lightrun AI SRE Agents That Prevent and Resolve Incidents | Lightrun AI SRE Agents That Prevent and Resolve Incidents | Lightrun AI SRE Agents That Prevent and Resolve Incidents | Lightrun
Enterprise Compliance ISO 27001 and SOC 2 Type II certified with GDPR and HIPAA alignment. Full RBAC, SSO, and audit logging.
Tenant Isolation Logical tenant separation, dedicated secret storage & fully isolated AI sandboxes.
End-to-End Encryption TLS 1.3 in transit and AES-256 encryption at rest, backed by AWS KMS with annual key rotation.
Read-only by default Agents investigate and correlate data, but write actions require explicit approval.
Data Privacy Controls Configurable retention, PII redaction, prompt sanitization, and zero AI provider data retention.
IP & AI Protection No source code storage, no model training on customer data, and strict execution guardrails.
Explore security

Days hours

“When it comes to priority-one tickets, customers can't wait days for a fix. Lightrun helps us reduce that to hours.”

Hood Munaim, SVP, Head of Product Engineering

90% lower MTTR

AT&T reduced time to resolve incidents from five hours to thirty minutes, avoiding costly war rooms.

Enterprise incident response

30% productivity

Priceline increased developer productivity across workflows spanning more than 2,000 services.

Enterprise engineering productivity

Light up

how your software runs

Book a demo →