AI-Native Security & Automation
Agentic Automation
- LLM agents with durable memory and audit trails
- Human-in-the-loop approvals and safe-ops defaults
- Runbooks that actually execute across your tools
Predictive Exposure Management
- Signal fusion across code, cloud, and configuration
- Risk stories and preemptive guardrails (policy-as-code)
- Drift detection and continuous hardening
Incident Triage & Response
- Guided triage and evidence capture
- Insurer-ready reports and exportable logs
- Post-incident recommendations and playbook updates
Governance & Integrations
Guardrails
RBAC, policy enforcement, approvals, and audit logs built into every workflow.
Integrations
GitHub, Jira, Slack, Email, Webhooks, SIEM/EDR, Cloud providers, and custom connectors.
Compliance Alignment
We map work to your frameworks and reporting needs—without turning engineers into auditors.
Engagement Models
Advisory & Design
Playbooks, reference architectures, AI safety reviews, and risk-based roadmaps.
Implementation
Build-outs of agents and workflows, integrations, and rollout with change-management.
Enablement
Training, handoff, and co-build sprints so your team owns the outcomes.
Next steps
Pick a pilot you care about—we’ll scope it, ship it, and leave you with durable guardrails.