Diagnose, remediate, and verify issues across code, AI agents, software delivery, cloud infrastructure, Kubernetes, and production systems.
Whether the problem originates in source code, an AI agent, a deployment pipeline, a cloud configuration, or a runtime environment, Remediation Labs helps teams resolve issues safely and quickly.
Context-Aware Control Layer · Full Lifecycle Coverage
Purpose-built workflows for the most critical software, cloud, security, and operational challenges.
Security teams identify thousands of vulnerabilities but developers struggle to determine what matters and how to fix it.
Capabilities
Outcome
Move from findings to verified fixes.
AI coding assistants and autonomous agents can introduce unsafe code, insecure configurations, or unauthorized changes.
Capabilities
Outcome
Protect what AI agents build and change.
Risk often spans repositories, pipelines, artifacts, cloud infrastructure, and deployments — no single tool sees it all.
Capabilities
Outcome
Fix the issue at the correct layer.
Cloud environments continuously drift from secure and compliant configurations, creating exposure that grows faster than teams can address.
Capabilities
Outcome
Maintain secure and compliant infrastructure.
Production systems experience drift, exposure, vulnerabilities, and operational risk that detection tools find but cannot fix.
Capabilities
Outcome
Reduce production risk without disrupting operations.
Teams struggle to determine why deployments fail or software delivery slows down, leading to hours of investigation and finger-pointing.
Capabilities
Outcome
Restore delivery velocity.
Operations teams spend hours identifying root cause during incidents while production systems degrade and customers are impacted.
Capabilities
Outcome
Reduce MTTR.
Organizations want AI-driven remediation but need governance and verification before they can trust fully automated action.
Capabilities
Outcome
Safe autonomous operations.
Active remediation workflows built around the compliance, security, and operational requirements of each sector.
Compliance · AppSec · Cloud
DevOps · Velocity · Automation
HIPAA · Risk · Audit
PCI · Uptime · Runtime
OT Security · Automation · Risk
FedRAMP · Zero Trust · Governance
Six principles that make active remediation different from detection-only security tools.
Every remediation is grounded in software, cloud, runtime, and business context — so actions are precise, not reactive.
Root cause analysis, blast radius estimation, and safe path selection happen before any system is changed.
Specialized AI agents generate fixes, open pull requests, repair configurations, and execute safe compensating controls.
Policy-defined approval gates ensure humans stay in control for high-impact changes. Autonomous only where it is safe.
One platform spanning code, supply chain, delivery, cloud infrastructure, Kubernetes, and live production — no gaps.
Every remediation must prove it worked. Security, policy, deployment, and runtime validation before a finding is closed.
Transform risks, incidents, and operational issues into verified remediation outcomes.
Trusted by enterprise security and platform teams