Sanjay Mazumder
Nearly two decades in cybersecurity and incident response, with experience across cybersecurity frameworks, policy writing, SOC practices, toolchains, delivery, and team coaching.
LinkedIn profileAbout aneo
Security work should be clear enough to act on.
aneo builds AI security workflows for lean teams that need framework readiness, incident response, ownership, evidence, and decisions to be easier to run and easier to explain.
All-New Possibilities
Practical AI for security teams that need less ambiguity, better records, and calmer execution.
Who we are
aneo is the company behind Framework-Pro and IncidentAI.
We build focused AI tools for security readiness and incident response. The goal is not to replace accountable security work. The goal is to help teams organize documents, controls, owners, tickets, analysis, and decisions into workflows that are easier to review and act on.
Founders
Built by cybersecurity, product, and engineering operators.
aneo combines practical cybersecurity delivery experience with cloud, data, and AI product engineering.
Gaurav Shukla
Product and data engineering leader with experience in cloud, machine learning, retrieval-augmented generation, secure integrations, team building, and shipping software products.
LinkedIn profileMake hard security work easier with practical AI.
Security teams should be able to move from uncertainty to a clear next action without losing context, evidence, or accountability.
Lean teams should operate with enterprise clarity.
We want smaller security teams and growing organizations to handle readiness and incident response with the structure, speed, and confidence usually reserved for larger teams.
Values
Simple principles for serious security work.
Our values are practical. They shape how we design workflows, write AI prompts, handle data, and explain product output.
Make it easy
Security workflows should reduce friction, not force teams into unnecessary process.
Be transparent
AI output should be explainable enough for teams to review, challenge, approve, and improve.
Earn trust with outcomes
The product should help teams create records, documents, decisions, and actions they can actually use.
Build with security and privacy
Controls, access, data handling, auditability, and review should be part of the product design.
Keep humans in the loop
AI should assist classification, documentation, and analysis. Accountable teams make the decisions.
Improve a little every day
Better products come from practical feedback, measured improvements, and careful iteration.
How we build
Responsible AI with guardrails, context, and human review.
Security teams need useful automation, but they also need control. aneo products are designed to support reviewable outputs, role-based workflows, audit trails, and clear human approval points.
- Lean security teams first. Start focused and expand when the workflow is ready.
- Responsible AI with retrieval, guardrails, confidence hints, and human approval.
- Readiness and alignment, not certification claims or automatic compliance promises.
- Clear records for audits, customer reviews, incident reviews, and internal decisions.
- Open integration thinking for tools such as Jira, ServiceNow, Slack, Teams, and APIs.
- EU data residency and zero-retention options available where product scope requires it.
Product focus
Two products, two clear security workflows.
aneo is intentionally focused. Framework-Pro handles readiness documentation. IncidentAI handles security incident management and response records.
Self-service
Framework-Pro
Framework-Pro helps teams choose ISO 27001:2022 or NIST CSF 2.0, map applicable controls, and generate security policies and supporting documents.
Enterprise accessIncidentAI
IncidentAI helps teams triage security incidents, coordinate owners and actions, map response context, and preserve defensible incident records.
Next step
Build a cleaner security operating layer.
Use Framework-Pro for self-service readiness documentation, or talk to aneo about IncidentAI enterprise incident management.