Cloud security & compliance · AWS · Microsoft Azure · Google Cloud
Security that keeps up with you.
From cloud guardrails and pipeline security to AI governance, security monitoring and DPDP readiness, we build security into how you run and ship, not bolt it on before an audit.
AI features reach production before anyone checks what they can access or leak.
What we do
We assess each AI use case, add guardrails and set limits on what agents can do, before release.
Security reviews slow every release
Manual security sign-off holds up delivery, so teams look for ways around it.
What we do
Automated checks in the pipeline replace the manual queue, with findings shown in the pull request.
Compliance is a scramble
Evidence is pieced together from screenshots weeks before every audit.
What we do
Controls are mapped to the standard and evidence is collected automatically, all year.
Nobody’s watching after hours
Alerts pile up at night and over weekends, and get looked at on Monday.
What we do
Security monitoring with triage and response, on hours agreed in your plan.
New rules keep arriving
The DPDP Act, sector regulators and AI rules arrive faster than your team can read them.
What we do
We turn the rules into a gap list and a plan, and keep it current.
Controls drift after they’re set
Settings that passed last year’s audit change with every deployment.
What we do
Guardrails, policy as code and daily posture checks catch drift as it happens.
What we cover
Five areas. One security team.
Cloud posture, application security, AI governance, security monitoring and data protection, on AWS, Microsoft Azure and Google Cloud. Pick an area to see what’s included and the tools we use.
Guardrails, hardening and audit readiness. We harden your cloud, put guardrails in place and map controls to the standards your customers and auditors ask for.
AssessHardenGuardEvidenceReview
Security assessmentConfiguration, identity, network and data checked against CIS Benchmarks.
Landing zone guardrailsAccount structure, policies and logging that new resources inherit.
Identity and accessLeast privilege, MFA and access reviews.
Posture managementContinuous checks with drift alerts.
Audit readinessControls mapped to ISO 27001, SOC 2 and PCI DSS.
Evidence as you goLogs, reports and records collected automatically, ready for the auditor.
Tools we use
AWS
AWS Security Hub
AWS Config
AWS Control Tower
AWS Audit Manager
Microsoft Azure
Microsoft Defender for Cloud
Azure Policy
Azure landing zones
Microsoft Purview Compliance Manager
Google Cloud
Security Command Center
Organization Policy
Assured Workloads
Cloud Audit Logs
02 · Application security and DevSecOps
Catch vulnerabilities before production.
Security gates at every stage of the pipeline. Security checks run automatically in your pipeline, so problems are fixed while the code is fresh, without slowing releases.
CodeBuildTestDeployOperate
CodeCode scanning (SAST) and secret scanning on every commit.
BuildDependency scanning (SCA) flags vulnerable libraries before packaging.
TestDynamic testing (DAST) and container image scanning.
DeployInfrastructure-as-code policy checks and Kubernetes admission control.
OperateRuntime protection and drift detection after release.
Pipeline hardeningLeast-privilege runners, signed artefacts, protected branches and secrets in a vault.
Tools we use
AWS
Amazon Inspector
Amazon CodeGuru Security
AWS Secrets Manager
AWS WAF
Microsoft Azure
Microsoft Defender for DevOps
GitHub Advanced Security
Azure Key Vault
Azure Web Application Firewall
Google Cloud
Artifact Analysis
Binary Authorization
Secret Manager
Cloud Armor
03 · AI security and governance
Prove your AI is safe to run.
Guardrails and proof for GenAI and agents. GenAI and agents bring new risks that traditional security tools don’t see. We assess, guard and monitor them, mapped to recognised AI standards.
AssessGuardLimitMonitorProve
AI risk assessmentEach AI use case rated, with remediation ranked, against the OWASP Top 10 for LLM applications.
GuardrailsPrompt-injection defence, output filtering and personal data redaction.
Agent boundariesScoped permissions and approval for risky tool calls.
Governance policyModel approval and acceptable-use rules that are enforced, not just written.
MonitoringModel usage, misuse and drift logged and alerted.
Standards mappingNIST AI RMF and ISO/IEC 42001, ready for your board and auditors.
Tools we use
AWS
Amazon Bedrock Guardrails
Amazon Bedrock model invocation logging
Amazon Macie
AWS IAM
Microsoft Azure
Azure AI Content Safety
Prompt Shields
Microsoft Purview for AI
Microsoft Entra ID
Google Cloud
Model Armor
Vertex AI safety filters
Sensitive Data Protection
Cloud IAM
04 · Security monitoring and response
Threats found and handled, not left in a queue.
Threats detected, triaged and handled. We watch your cloud for threats, triage every alert by business impact and respond with tested playbooks, on hours agreed in your plan.
DetectTriageRespondHand offImprove
Threat detectionCloud, identity and application signals in one place.
Triage by impactEvery alert becomes a ticket, classed P1 to P4.
Incident responsePlaybooks for containment, with escalation to senior engineers.
Alert tuningNoise cut so real threats stand out.
Incident reporting supportHelp preparing reports you owe regulators, such as CERT-In’s.
Monthly reviewIncidents turned into fixes that stop them coming back.
Tools we use
AWS
Amazon GuardDuty
Amazon Security Lake
Amazon Detective
AWS CloudTrail
Microsoft Azure
Microsoft Sentinel
Microsoft Defender XDR
Azure Monitor
Microsoft Entra ID Protection
Google Cloud
Google Security Operations
Security Command Center
Cloud Logging
Event Threat Detection
05 · DPDP and data protection
Personal data you can find, protect and account for.
Ready for India’s data protection rules. We help you map personal data, make consent provable, build rights into your workflows and be ready to respond to a breach.
DiscoverConsentProtectRespondOperate
DPDP gap analysisWhere you stand against the Act and the 2025 Rules, ranked by risk.
Personal data discoveryWhere personal data lives across your systems, mapped.
Consent you can proveSpecific, informed, withdrawable consent, with a record of each.
Data protectionEncryption, tokenisation, access controls and audit logs.
Rights workflowsAccess, correction, deletion and grievance requests handled as defined processes.
Breach readinessOwners, playbooks and evidence to report within the required timelines.
Tools we use
AWS
Amazon Macie
AWS KMS
AWS CloudHSM
AWS Security Hub
Microsoft Azure
Microsoft Purview
Azure Key Vault
Azure Information Protection
Microsoft Defender for Cloud
Google Cloud
Sensitive Data Protection
Cloud KMS
Cloud DLP
Access Transparency
We pick tools for your setup and build on the security tools you already use.
What you get
Security that moves with your teams, not against them.
What changes when security is built into how you run and ship.
Audit-ready by default.
Controls are mapped to the standards your customers ask for, and evidence is collected automatically. Audits become a report, not a six-week scramble.
BeforeScreenshots the week before the audit
With usEvidence collected all year
Shift security left
Problems found in the pull request, not after release.
Releases stay fast
Automated gates replace manual review queues.
AI covered too
Guardrails and limits for GenAI and agents, mapped to AI standards.
Threats handled
Alerts triaged by impact and handled with tested playbooks.
Privacy built in
Consent, rights and data protection run as everyday processes.
Find your biggest gaps.
A security assessment maps your cloud, pipeline, AI and data exposure, with a ranked plan.
We review your cloud, pipelines, AI use and personal data, with read-only access.
What happens
1.1Cloud configuration checked against CIS Benchmarks
1.2Pipeline and code security reviewed
1.3AI use cases and agent permissions mapped
1.4Personal data located across key systems
1.5Gaps mapped to ISO 27001, SOC 2, PCI DSS or DPDP
You get
A gap report
Risks ranked by impact
Quick fixes marked
Your part
An hour with whoever owns security, and read-only access.
Your safety net
Nothing changes on your side. You keep the report either way.
Stage 02 · Agree what matters first
Prioritise
We turn the gaps into a plan, ordered by risk and by the dates you have to meet.
What happens
2.1Fixes ordered by risk and effort
2.2Audit and regulatory dates built in
2.3Owners agreed on both sides
2.4Changes that need testing flagged
2.5A roadmap your board can approve
You get
A phased roadmap
Clear owners
Your part
Agree the plan and the dates.
Your safety net
Nothing is changed until you’ve agreed the plan.
Stage 03 · Put the controls in place
Build
We harden the cloud, add pipeline gates, protect data and put AI guardrails in place.
What happens
3.1Guardrails and hardening on each account
3.2Security gates in each pipeline
3.3Secrets moved into a vault
3.4Encryption, tokenisation and access controls for personal data
3.5Guardrails and limits for AI and agents
You get
Controls in place
A log of every change
Your part
Approve changes that affect your users or apps.
Your safety net
Changes are tested first and logged with a rollback step.
Stage 04 · Watch, detect and respond
Monitor
Threats and drift are caught early, and every alert has an owner.
What happens
4.1Threat detection across cloud and apps
4.2Alerts triaged by impact, P1 to P4
4.3Response playbooks and escalation
4.4Daily posture and drift checks
4.5Support with incident reports you owe regulators
You get
Alerts handled
Incidents written up
Your part
Agree hours, contacts and escalation.
Your safety net
Coverage hours and response times are agreed in writing.
Stage 05 · Evidence and continuous improvement
Prove
We keep the evidence ready and the controls current.
What happens
5.1Evidence collected automatically
5.2Monthly security report
5.3Quarterly review of risks and controls
5.4Support during audits and customer reviews
5.5Plan updated as rules change
You get
Audit evidence on hand
A quarterly review
Your part
Join the reviews and tell us what’s coming.
Your safety net
Everything is documented, so your team can carry it on.
Standards we map to
The frameworks you’re asked about.
Customers, auditors and regulators each have their own list. We map controls and collect evidence once, so one set of work answers all of them.
Security and audit
For customers, auditors and enterprise buyers.
ISO 27001
SOC 2
PCI DSS
CIS Benchmarks
Cloud Well-Architected security
India regulation
For businesses handling Indian personal and financial data.
DPDP Act 2023 and DPDP Rules 2025
CERT-In directions (2022)
RBI IT and outsourcing directions
SEBI cyber security framework
IRDAI cyber security guidelines
AI governance
For teams shipping GenAI and agents.
OWASP Top 10 for LLM applications
NIST AI Risk Management Framework
ISO/IEC 42001
EU AI Act, where it applies
Your own AI acceptable-use policy
DPDP timeline. The DPDP Rules were notified in November 2025. Consent Manager provisions apply from November 2026 and most remaining obligations from May 2027. Penalties can reach ₹250 crore. This is general information, not legal advice.
With a security assessment: we review your cloud, pipelines, AI use and personal data with read-only access, and give you a ranked list of gaps and a plan.
No. Most teams start with the area of highest risk, such as an audit date, an AI launch or a DPDP deadline, and add the rest over time.
AWS, Microsoft Azure and Google Cloud, using each cloud’s native security services alongside cross-cloud tools.
Certification is issued by an independent auditor. We get you ready: controls in place, mapped to the standard, and evidence collected so the audit goes smoothly.
They shouldn’t. Automated checks run in the pipeline and report in the pull request, replacing slower manual reviews.
Yes. We map controls to the directions that apply to you. Your compliance team and auditors remain responsible for final interpretation.
We assess each use case against the OWASP Top 10 for LLM applications, add guardrails such as prompt-injection defence and data redaction, limit what agents can do and monitor usage.
Coverage hours, response times and escalation are agreed in your plan before we start. We don’t promise times we haven’t agreed with you in writing.
The alert is triaged by impact, handled with a playbook and escalated if needed. We help you prepare any reports you owe, such as to CERT-In, and review the incident afterwards.
The DPDP Rules were notified in November 2025. Consent Manager provisions apply from November 2026 and most remaining obligations from May 2027. Check your exact obligations with your legal advisers.
With a gap analysis and personal data discovery: where personal data lives, how consent is collected, how rights requests are handled and how you’d respond to a breach.
No. We handle the technical and operational side: data mapping, consent records, protection and workflows. Your legal team or advisers interpret the law for your business.
Security assessment
Find the gaps before someone else does.
A security engineer reviews your cloud, pipelines, AI use and personal data with read-only access, and gives you a ranked gap report and plan. No obligation to work with us.
01Read-only reviewWe look, we don’t touch. Nothing changes on your side.
02Cloud and pipeline gapsConfiguration, identity, secrets and pipeline checks.
03AI and data exposureAI use cases, agent permissions and where personal data lives.
04A ranked planMapped to ISO 27001, SOC 2, PCI DSS or DPDP.
