Cybersecurity

Secure what you run, at the scale you run it

Vulnerability and patch programs, identity risk, and security for the LLM agents you are about to ship.

We help teams secure what they run, ship production-grade software, and put agentic AI to work on real business workflows. Architecture, implementation, and hands-on training, delivered by people who have built and scaled enterprise products.

Cybersecurity

Vulnerability, identity and agentic AI security for enterprise and SaaS teams.

  • Vulnerability & patch management advisory: program design, remediation prioritization, zero-downtime patch operations at scale
  • Identity visibility & access risk assessment: identity sprawl, over-privileged access, graph-based risk scoring
  • Agentic AI security: threat modeling, prompt-injection defence, and tool and data access controls for LLM agents
Talk to us about Cybersecurity

Agentic AI

Design and deployment of autonomous AI agent systems for business workflows and automation.

  • Agent system design and LangGraph / LangChain builds
  • RAG and LLM integration into existing products
  • Fine-tuning: LoRA, QLoRA and full fine-tuning
  • Evaluation, guardrails and production agent operations
Talk to us about Agentic AI

Consulting & Software Engineering

Senior technology leadership on demand, from strategy to delivery.

Consulting

  • Fractional CTO and engineering leadership for security and SaaS startups
  • Architecture reviews, monolith to microservices, secure multi-tenant SaaS on AWS and Kubernetes
  • Roadmaps, team scaling and technical due diligence

Software Engineering

  • Cloud-native services on AWS with Kubernetes, Docker and Helm
  • Event-driven systems with Kafka and Elasticsearch
  • Python and Java delivery with CI/CD and observability built in
Talk to us about Consulting

AI/ML Training

Hands-on training programs for engineering teams on LLM integration, agent frameworks, and MCP.

  • LLM integration and RAG workshops for product teams
  • Building agents with LangGraph, from prototype to production
  • MCP servers and tool integration: connecting agents safely to your systems and data
Talk to us about AI/ML Training

Data Science & Forecasting

Time series forecasting and machine learning products, grounded in patented R&D.

  • Demand, capacity and risk forecasting models
  • Interactive data exploration and analytics tooling
  • ML product R&D backed by 3 US patents in forecasting
Talk to us about Data Science & Forecasting

Product in development

IVIP: Identity Visibility and Risk ProfileIn development

Graph-based identity risk scoring with agentic AI for autonomous threat detection and adaptive access governance. See every identity, its access, and its risk in one profile.

  • Unified identity graph across cloud, SaaS and on-prem directories
  • Real-time risk scoring for over-privileged and dormant access
  • Agentic workflows that detect, explain and remediate identity risk
Sagar Mainkar

Founder

Sagar Mainkar

Founder & Principal Consultant

Sagar has spent two decades building enterprise software, most recently leading a 50+ person engineering organization at Qualys that delivered the Remediation and Patch Management suite, a $50M+ annual revenue product line deploying 100M+ patches a year.

Before that he led machine learning and time series forecasting R&D at SAS, where his work produced 3 US patents and was presented at the International Symposium on Forecasting.

He founded K Sagaa Ventures to bring that experience to teams that need secure, production-grade software and practical agentic AI.

20+
years in enterprise software
3
US patents in forecasting & data exploration
$50M+
annual revenue product line led at Qualys
100M+
patches deployed per year at Qualys

Experience

  1. 2025 – Present
    Founder & Principal Consultant at K Sagaa Ventures LLP

    Cybersecurity, agentic AI and software engineering consultancy. Building IVIP.

  2. 2022 – 2025
    Director of Engineering at Qualys

    Led the Remediation product suite (Patch Management & Mitigation) and a 50+ person org; $50M+ annual revenue; 100M+ patches/year.

  3. 2009 – 2022
    Sr. Manager, Engineering at SAS Research & Development

    Managed a 25-member team building ML and time series forecasting products; 3 US patents; monolith to microservices transformation.

Education

M.Sc. Business Analytics, BITS Pilani (2017 – 2019)

B.E. Mechanical Engineering, Pune University (1997 – 2001)

Working stack

  • Python
  • Java
  • LangGraph
  • LangChain
  • LLMs / RAG
  • AWS
  • Neo4j
  • Kubernetes
  • Kafka
  • Elasticsearch

Contact

Tell us what you are building or securing. We reply within two working days.