NORA ingests real-time threat findings — IAM anomalies, EC2 compromise, crypto mining — directly from AWS GuardDuty, Inspector, and Datadog pipelines for immediate classification.
NORA - Your AI Adoption Accelerator
AI-Powered SOC 2 Compliance Enablement
Explore how AI workflow automation can accelerate your SOC 2 readiness and cut compliance overhead — without replacing your team.
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80
%
Faster incident response time
60
%
Less manual audit prep time
100
%
Audit trail coverage
5
x
Faster SOC 2 readiness
70
%
Less human tracking errors
Before NORA
Poor Infrastructure Puts
SOC 2 Compliance at Risk
No Structured Process
Incident detection and response workflows don’t exist — alerts are missed or handled inconsistently.
Manual Evidence Collection
Gathering audit evidence by hand is slow, error-prone, and takes weeks before every audit cycle.
No SLA Enforcement
Incidents are resolved on a best-effort basis with no defined SLAs — leaving audit compliance at risk.
High Consultancy Cost
Audit preparation depends on expensive external consultants with no scalable, AI-driven alternative.
NORA Solution
AI-Orchestrated Compliance
LLM Classification Engine
NORA uses large language models (GPT-4o, Claude Sonnet) to classify alert severity, enrich context with logs and ownership data, and automatically select the correct response playbook.
5 Predefined SOC 2 Playbooks
IAM anomaly, Security Group misconfiguration, EC2 compromise, Application-level anomaly, and Brute force — each with a full trigger-to-evidence lifecycle built in.
Jira SLA Lifecycle Management
NORA automatically creates and tracks Jira incidents with strict SLA enforcement — seconds for low complexity, under 4 hours for mid, under 24 hours for high — with built-in escalation rules.
Automated Alert Intake
NORA ingests real-time security alerts from AWS GuardDuty and Datadog, normalizes them, and enriches context automatically. No manual intake required.
See how it worksContinuous Audit Trail
Every incident generates audit-ready documentation automatically in Confluence — RCA templates, decision logs, and remediation actions — so you're always SOC 2 ready.
See how it worksConfluence Knowledge Base
RCA templates, runbooks, and incident evidence are stored and automatically updated after each resolved incident — so your audit documentation is always current.
Human-in-the-Loop Review Queue
Low-confidence or flagged incidents are automatically queued for admin review before final decision. Every action is recorded with a full decision log for SOC 2 auditors.
L1 → L2 → L3 Structured Escalation
NORA enforces structured escalation via Jira and Slack/Teams — replacing ad hoc messages with a documented, SLA-governed escalation chain that satisfies SOC 2 reviewers.
Continuous SOC 2 Improvement
RCA insights and incident lessons are automatically fed back into updated playbooks and runbooks — turning every incident into a compliance improvement opportunity.
Is NORA Right for Your Organization?
Built for professional environments that need consistent, scalable compliance without growing headcount.
Book a Free Consultation業界
SaaS • Fintech • Healthcare • Custody Platforms • Defense & Government
Company Size
10–200 employees • No in-house compliance team
Tech Maturity
AWS (GuardDuty / Inspector / CloudTrail) • Jira • Confluence
Pain Signal
No incident SLAs • Ongoing audit findings • Security questionnaire pressure • Enterprise client demanding SOC 2
See the Impact
How NORA Transforms Your Workflow
Before NORA
- No incident detection workflow
- Manual Jira ticket creation on best-effort basis
- No SLA enforcement — incidents resolved when possible
- Evidence gathering done manually before each audit
- Ad hoc escalation via Slack messages
- Months of prep work for SOC 2 auditors
After NORA
- Automated alert intake from AWS GuardDuty & Datadog
- Standardized incident creation with severity classification
- Jira SLA tracking: seconds / 4h / 24h by tier
- Continuous audit trail — Confluence auto-updated
- Structured L1 → L2 → L3 escalation via instructions
- Audit-ready evidence generated automatically after each incident
仕組み
From Detection to Audit-Ready
Evidence in 6 Steps
01
Input
AWS GuardDuty / Inspector alert fires, Datadog anomaly detected, or manual intake via Slack / email.
02
Preprocessing
Alert normalized and enriched. Environment tagged (Dev / UAT / Prod). Context pulled: logs, ownership, IP geo.
03
AI Processing — NORA Core
LLM classifies severity and incident type. Playbook matched from knowledge base. Cross-checked against known patterns and history.
04
Decision & Scoring
Automated action taken. Fix suggested for human approval. High-severity events auto-escalated immediately.
05
Human-in-the-Loop
L1/L2/L3 reviews the Jira ticket. Approves or overrides the AI suggestion. Handles edge cases and complex decisions that require human judgment.
06
Output
Jira ticket closed with full SLA record. RCA documentation logged in Confluence. Full audit trail generated and ready for SOC 2 review.
NORA doesn’t replace your professional team — it gives them superpowers.
NORA Tech Stack
Fully built and ready to deploy — no additional development required.
AI & Orchestration
LLMs GPT-4o Claude Sonnet NLP Pipelines Prompt Engineering
Detection & Data
AWS GuardDuty AWS Inspector データドッグ CloudTrail Severity Engine
Frontend & Interface
Jira Service Mgmt 合流 Slack / Teams
Infrastructure
AWS-Native ドッカー CI/CD Pipelines マイクロサービス
NORA Implementation Roadmap
Phase 1
Audit current incident process, SOC 2 control gap analysis, and AWS environment check.
Phase 2
Deploy NORA + AWS integration, configure Jira workflows & SLAs, and set up escalation logic.
Phase 3
Build Confluence KB structure, develop 5 playbook agents, and define RCA templates.
Phase 4
Test with real/simulated alerts, validate playbook accuracy, deploy to production, and train your team.
Get SOC 2 Ready with NORA
Book a demo or speak with our team to see how NORA can transform your SOC 2 journey in just 6 weeks.
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