Cloud security for the multi-cloud AI era

One operating picture across AWS, Azure and Google Cloud. Spot misconfigurations, protect AI workloads and the data they touch, and prioritize the exposures that actually matter — agentless by default, runtime-aware by design.

AWS EC2 · EKS · S3 · Lambda · Bedrock Azure AKS · Blob · Functions · Entra ID GCP Compute · GKE · BigQuery · Vertex AI

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Multi-cloud by design

One platform. Three clouds. No blind spots.

Services, identities and data flows change faster than manual inventories can track. Kavach-AI keeps a live map of every cloud, account and region.

Amazon Web Services

Compute, storage & AI

EC2, EKS/ECS, S3, RDS, Lambda, IAM and Bedrock. Posture checks on buckets, guardrails on SageMaker pipelines, and runtime sensors on every workload.

→ CSPM + runtime + AI guardrails

Microsoft Azure

Enterprise identity & AI studio

VMs, AKS, Blob, SQL, Functions, Key Vault, Entra ID and Azure AI. Enforce on AI services end-to-end and audit every identity action.

→ Entra ID mapping + Key Vault checks

Google Cloud

Analytics & MLOps

Compute Engine, GKE, Cloud Run, Cloud Storage, BigQuery, IAM and Vertex AI. Protect BigQuery data and govern Vertex pipelines from day one.

→ BigQuery + Vertex AI coverage

Cloud coverage

What we watch in each cloud

From posture to runtime to AI, the same controls follow your workloads across boundaries.

Capability	AWS	Azure	Google Cloud
Agentless cloud posture (CSPM)	✓	✓	✓
Kubernetes & container security	EKS / ECS	AKS	GKE
Storage & data-flow protection	S3 · RDS	Blob · SQL	GCS · BigQuery
Serverless & functions	Lambda	Functions	Cloud Run / CF
Identity & entitlements	IAM	Entra ID	IAM · Groups
AI / ML workload security	Bedrock · SageMaker	Azure AI	Vertex AI
Runtime threat detection	✓	✓	✓

Cloud posture & misconfigurations

Find and fix the exposures that become intrusions

Open buckets, over-permissioned roles, missing encryption, exposed secrets — context-aware CSPM surfaces the subset of findings that lead to real impact, linked to who owns each asset.

Unified inventory across accounts, regions and clouds
Real attack paths between services and critical data
Continuous checks against CIS, HIPAA, NIST & SOC 2
Ownership maps so fixes land in the right team's backlog

Multi-cloud posture scan — AWS · Azure · GCP

AWS S3bucket "customer-backup" world-readable → remediate

AZ SQLserver allows public network → deny rule proposed

GCP IAMservice account over-privileged → least-privilege plan

ENTRAprivileged identity dormant 90 days → remove

COVERAGE4 clouds · 12 accounts · 100% discovered

AI workload + data protection flow

TRAINprotected dataset → Bedrock / Azure AI / Vertex

DATA LAYERS3 · Blob · BigQuery row-level tokenization

SERVEinference through Kavach gateway

GUARDprompt carries PII → masked before model

VERIFYresponse clean · audit logged · nothing leaked

AI & data protection in the cloud

Secure the AI services and the data they're trained on

AI and MCP workloads live on cloud services, and so does their risk. Kavach-AI guards both sides — the cloud platform and the data that flows through prompts, pipelines and models.

Protect training and inference data at the source (tokens, masking, anonymization)
Gate LLM and agent tool calls across Bedrock, Azure AI and Vertex AI
Detect shadow AI services and unexpected data movement
Baseline and enforce identity behavior for non-human entities

Compliance

Evidence built for auditors, delivered continuously

Always-current posture against the frameworks your business runs on — with remediation history tied to every mapped control.

CISBenchmarks v2.0+

HIPAAPHI control mapping

NISTCSF 2.0 aligned

SOC 2Continuous evidence

Multi-cloud, one view

Connect your clouds. See what's actually at risk.

Agentless onboarding in minutes. Runtime and AI guardrails the moment you need them.

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