Built to clear the review, not stall in it

A copilot that works isn't enough if it can't satisfy a regulator or pass your enterprise customers' security review. So we build the evidence in from the first line - the certification, the controls, the data handling and the AI governance, in one place, ready before anyone asks, so we build the evidence in from the first line - certification, controls, data handling and AI governance.

ISO/IEC 27001:2022 certified by TÜV Rheinland
Certificate 9000041009 · independently verifiable
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The certification

Certified, not self-declared

Plenty of engineering partners describe themselves as “enterprise-grade”. Ours is an audited claim: an accredited third party examined the management system behind our delivery and issued a certificate you can look up yourself, right now, without contacting us.

ISO/IEC 27001:2022

Information Security Management System

Certified by TÜV Rheinland, an accredited certification body.
Certificate holder
Focaloid Technologies Private Limited
Standard
ISO/IEC 27001:2022 - the current revision
Certificate no.
9000041009
Issued by
TÜV Rheinland
Statement of applicability
06 Jan 2026
Public register
Certipedia - TÜV Rheinland's open certificate database
Verify the certificate on Certipedia
Opens TÜV Rheinland's register in a new tab · no login, no gate
Scope of certification

“Information Security Management System covering Software Development Services encompassing AI, Data & Analytics, Cloud & DevOps and Digital Engineering including supporting functions such as Finance, IT, Administration and Human Resources.”

Verbatim from the certificate scope
AI
Data & Analytics
Cloud & DevOps
Digital Engineering
Supporting functions in scopeFinanceITAdministrationHuman Resources

The scope line matters more than the badge. A certificate that covers only a head-office IT function tells a reviewer very little about the team writing your code. This one names the four delivery practices you would actually engage - and the back-office functions that touch employee, financial and access data, which is where most real incidents start.

How security is actually run

Four control themes, the way the standard organises them

The 2022 revision groups its controls under four themes. We've kept that structure rather than inventing our own, so your team can map this page directly onto the questionnaire they were going to send us anyway.

Theme 01 · Organizational

Policy, ownership and the paper trail

Security is a named responsibility with a named owner, not a shared intention. Policies are written, approved, versioned and reviewed on a cycle - and the audit that renews the certificate checks that the cycle actually ran.

  • Documented ISMS with a Statement of Applicability covering every Annex A control we apply - and a recorded justification for any we don't
  • Risk register maintained continuously, with treatment plans and residual risk accepted at a named level
  • Supplier and sub-processor review before any third party touches a client environment
  • Incident response with defined severities, escalation paths and client notification obligations
Theme 02 · People

The controls that survive contact with humans

Most breaches don't start with an exotic exploit. They start with a person - a leaver whose access lingered, a contractor onboarded in a hurry, a convincing email. The people controls are the boring ones that matter most.

  • Background verification and signed confidentiality terms before anyone joins a client engagement
  • Security awareness training at induction and on a recurring cycle, including phishing and social-engineering
  • Joiner–mover–leaver process so access is provisioned to role and revoked the day it stops being needed
  • Named engagement owners - you know who is accountable, and it isn't a shared inbox
Theme 03 · Physical

Premises, devices and the things you can pick up

Distributed teams don't remove physical risk, they relocate it - onto laptops, home networks and the badge reader at the front door. Both ends are covered.

  • Access-controlled offices with visitor logging and zoned entry to delivery floors
  • Managed endpoints - full-disk encryption, screen lock, endpoint protection and central patching
  • Clear desk and clear screen in delivery areas, with removable media restricted by default
  • Asset register tracking every device from issue to secure disposal
Theme 04 · Technological

Encryption, access, logging and the cloud underneath

The controls a technical reviewer will press hardest on. Encryption in transit and at rest, identity that's actually enforced, logs that survive the person who generated them, and backups that have been restored, not just taken.

  • Encryption in transit and at rest - TLS on every hop, provider-managed keys on stored data
  • SSO and MFA on delivery systems, with role-based, least-privilege access and periodic recertification
  • Segregated environments - no client data mixed across engagements, no production data in development by default
  • Centralised logging and monitoring, with backup and restore tested rather than assumed
Your data

The whole arc - from what we ask for to what we delete

The safest data is the data we never took. Every engagement starts by narrowing the set: the minimum needed to do the work, in the least sensitive form that still works, held for the shortest time that still serves the purpose.

Step 01
Minimise

We scope the smallest data set that does the job - and challenge anything beyond it before it's shared.

Step 02
Protect

Encrypted in transit and at rest, behind role-based access with MFA. Named people, not shared logins.

Step 03
Segregate

One engagement, one environment. No pooling across clients, no production data in development by default.

Step 04
Account

Access is logged. Who touched what, when, and under which approval - retrievable when someone asks.

Step 05
Delete

Held only as long as the purpose lasts, then securely deleted or anonymised - on your instruction or on schedule.

The rights that come with it

For personal data we hold, these are yours to exercise - and they're exercised through a named channel with a stated response time, not a contact form that disappears.

AccessA copy of the personal data we hold about you
CorrectionAnything inaccurate, put right
DeletionErased where no legal obligation requires us to keep it
PortabilityYour data handed back in a usable, machine-readable form
Opt outOut of marketing contact, without losing service
ObjectTo a specific use, with a human reviewing the decision
Requests go to a monitored privacy channel and are acknowledged within one business day.
connect@focaloid.com
Commitments

What we don't do with it

  • We don't sell it. Not to data brokers, not to advertisers, not in aggregate.
  • We don't train public models on it. Your data isn't a training set for anything that leaves your engagement.
  • We don't pool it across clients. One engagement, one environment, one access list.
  • We don't keep it “just in case”. When the purpose ends, so does the retention period.
  • We don't add sub-processors quietly. Anyone new who would touch your environment is reviewed and disclosed first.
Secure engineering

Security is a stage in the build, not a review at the end

Security work that arrives at the end arrives too late to change anything - by then it can only delay a launch or get waived. So it sits inside the delivery pipeline, at five points, each with a gate a human has to pass before the work moves on.

Stage 01
Design & threat model

Before code: trust boundaries, data classification, and how this system is most likely to be attacked or abused.

Gate · architecture sign-off
Stage 02
Build

Peer review on every change, secrets kept out of source, dependencies pinned and least-privilege by default.

Gate · peer review
Stage 03
Scan & test

Static analysis, dependency and secret scanning, and automated tests in CI - failures block the merge, not a meeting.

Gate · pipeline must be green
Stage 04
Release

Infrastructure as code, environments segregated, and a named human approving every promotion to production.

Gate · human approval
Stage 05
Run & respond

Logging, alerting and patch cadence - plus an incident process with defined severities and your notification terms in it.

Gate · post-incident review
Every change peer-reviewedEvery release human-approvedZero standing production access by defaultYour SDLC controls honoured where they're stricter than ours
AI governance

The part your reviewer doesn't have a template for yet

Traditional security controls don't cover an agent that takes actions, a model that drifts, or a prompt that can be turned against you. So AI systems run through a nine-phase lifecycle with eight documented gates - structured on the NIST AI RMF functions, producing evidence that satisfies the EU AI Act, NIST and ISO/IEC 42001 at the same time.

Map
Phases 01 - 03

Establish what the system is for, what it touches and what could go wrong - before anyone writes a prompt. Risk tier is decided here, and it decides everything downstream.

01Initiate & scope
02Data & knowledge
03Design & architecture
Measure
Phases 04 - 05

Build it, then try to break it. Accuracy and groundedness, robustness, cybersecurity and adversarial resistance - scored against a baseline you keep, not a demo that impressed someone.

04Build
05Evaluate & red-team
Manage
Phases 06 - 09

Sign-off by someone who didn't build it, a controlled release, then live monitoring for drift and abuse - through to a documented retirement when the system's day is done.

06Review & sign-off
07Deploy & release
08Monitor & observe
09Operate, respond & retire
Govern

Runs across all nine phases. Every phase has a named owner on a RACI - one person Accountable, not a committee. Eight go/no-go gates sit between the phases, each a short, documented decision. Gates are cheap; drift is expensive.

Evidence Pack.docxOne per phase: model card, evaluation results, red-team findings, data lineage, threat model, DPIA where applicable - and the go/no-go decision with any conditions attached.
Living Register.xlsxThe AI inventory: every system, its risk tier, its owner, its gate history, its residual risk and its review dates. Kept current, not reconstructed the week an auditor calls.
AI System IDA single identifier tying every artefact to one system, so a question about a decision made eighteen months ago has one place to go and one answer.
Failure modes

Four ways AI systems actually go wrong - and what catches each

Not hypotheticals. These are the failure modes that show up in real deployments, each paired with the specific control and the phase it lives in. If your reviewer asks “what stops the agent doing something irreversible?”, this is the answer.

Failure 01

The runaway agent

An agent with real tool access takes an action nobody sanctioned - a payment issued, a record deleted, a message sent to a customer - and does it faster than anyone can intervene.

The control

A tool-permission matrix scoping exactly what the agent may do, plus a hard human-approval step on any irreversible action - decided on paper before the build, not patched in after an incident.

Set at Phase 03 · Design & architecture
Failure 02

Prompt injection & leakage

Text the model reads - a document, a web page, a ticket, an email - carries instructions of its own, and the system follows them: exfiltrating data or acting for someone who was never your user.

The control

Adversarial and red-team evaluation against the OWASP LLM Top 10 before release, with untrusted content treated as data rather than instruction - and the findings written into the evidence pack whether or not they're flattering.

Tested at Phase 05 · Evaluate & red-team
Failure 03

Silent quality drift

Nothing breaks. The system just gets quietly worse - a model update, a shifted data distribution, a changed user population - and the first signal is a customer complaint months later.

The control

Continuous, sampled online evaluations against the launch baseline, plus drift and abuse monitoring with a human-feedback loop. Traces, not code, are the record of what the system actually did.

Watched at Phase 08 · Monitor & observe
Failure 04

Unaccounted data

Nobody can say exactly what the system was trained on, grounded in, or retrieves at run time - so nobody can answer a regulator, honour a deletion request, or prove a lawful basis.

The control

A data inventory with recorded provenance, PII detection and redaction, and a documented lawful basis for every source - established before the first index is built, because it can't be reconstructed afterwards.

Established at Phase 02 · Data & knowledge
Frameworks & regions

One body of evidence, several regulators

A US buyer asks about NIST. A European buyer asks about the AI Act. A UK buyer asks about UK GDPR and their own supplier standard. Producing three separate answers is how programmes stall - so the evidence is generated once, in a form each of them accepts.

ISO/IEC 27001:2022Global · information security

The management system behind our delivery, audited by TÜV Rheinland and listed on a public register.

Certified
EU AI ActEuropean Union · AI

High-risk obligations mapped to lifecycle phases, with technical documentation produced as we build.

Aligned by design
NIST AI RMFUnited States · AI risk

The Map / Measure / Manage / Govern functions are the actual spine of our nine-phase lifecycle.

Structured on it
ISO/IEC 42001Global · AI management

The AI management-system standard our governance artefacts and review cadence are built to satisfy.

Aligned by design
GDPR & UK GDPREU & UK · personal data

Data minimisation, lawful basis, data-subject rights and DPIAs where processing warrants one.

Operating practice
Sector & state rulesUS states · sector bodies

Colorado's AI Act and the wave of state-level AI laws, plus your own sector's supervisory expectations.

Mapped per engagement
The principle

Evidence produced once counts everywhere

The frameworks overlap far more than they differ. A model card, an evaluation result, a documented gate decision - each satisfies several regulators at once, provided it was produced during the build rather than reconstructed for an audit. That's the whole design intent behind the lifecycle.

USUnited StatesNIST · state laws
UKUnited KingdomUK GDPR · sector
EUEuropeAI Act · GDPR
SGSingaporePDPA · MAS-aware
For your review team

What we send when procurement asks

Vendor security reviews stall for one reason: the answers exist, but nobody can produce them in the format the reviewer needs. So we keep the pack assembled. Ask, and it lands in your inbox - usually within two business days, and without a call first.

ISO/IEC 27001:2022 certificate & scope statementThe certificate itself, plus the public register entry so your team can verify it independently.
Completed security questionnaireYour format - CAIQ, SIG-lite, or your own spreadsheet. We answer the one you use rather than asking you to read ours.
Data-processing terms & sub-processor listDPA ready for signature, the sub-processors that would touch your environment, and the transfer mechanism for each.
Secure SDLC & access-control summaryHow code is reviewed, scanned, promoted and approved - and who holds which access, under what recertification cycle.
Incident-response & business-continuity summarySeverity definitions, escalation path, notification commitments and restore testing.
AI governance packThe lifecycle, the gate structure, a sample Evidence Pack and the Living Register template - for reviewers who've started asking about AI and don't yet have a template.
Insurance certificates & contractual termsProfessional indemnity and cyber cover, IP assignment, and confidentiality terms - on request.
The track record

The delivery muscle behind the posture

Security maturity isn't a document, it's a habit - and habits take years. Ours were formed shipping software into environments where compliance, uptime and auditability were baseline requirements, not afterthoughts.

13+
Years shipping software into demanding production environments
200+
Clients served globally across BFSI, healthcare and regulated SaaS
150+
People under one ISMS - engineers, AI specialists, designers, consultants
4
Regions - United States, United Kingdom, Europe and Singapore
9
Governance phases every AI system runs through, with 8 documented gates
3
Frameworks satisfied by one evidence body - EU AI Act, NIST AI RMF, ISO/IEC 42001
ISO 27001:2022 certified - TÜV RheinlandDatabricks & Snowflake partnerMember of the Claude Partner Network
Straight answers

The questions reviews actually send over

Including the two where the answer is no. A trust page that only says yes isn't telling you anything - and your reviewer will find the gaps in week three regardless, which is a worse time to find them.

Are you SOC 2 certified?

Not currently. We hold ISO/IEC 27001:2022, the international equivalent covering the same control domains, audited annually by TÜV Rheinland and listed publicly. For most reviewers ISO 27001 satisfies the same requirement - the two standards overlap heavily on access control, encryption, change management, incident response and vendor risk. If your procurement process specifically requires a SOC 2 Type II report, tell us early. We'll map our ISO controls to the relevant Trust Services Criteria so your reviewer can make the comparison directly, rather than discovering the mismatch at contract stage.

Are you HIPAA compliant? What about other sector regimes?

HIPAA compliance isn't a certification anyone can hold in the abstract - it's a property of a specific arrangement between covered entity and business associate. What we can say is that we build under an ISO 27001-certified ISMS, we've delivered into healthcare environments for over a decade, and we'll sign a BAA and operate to the safeguards it specifies where the engagement calls for one. The same applies to sector regimes generally: FCA expectations in the UK, EBA guidelines in Europe, state insurance regulators in the US. We map to your obligations as part of scoping rather than claiming a blanket status.

Where does our data physically sit? Can you keep it in-region?

In most engagements we work inside your cloud tenancy - your AWS, Azure, GCP or Databricks account, your region, your keys. Your data never leaves an environment you control, and offboarding is a matter of revoking access rather than trusting a deletion promise. Where we host something ourselves, region is a scoping decision made before the engagement starts, and it goes in the contract. If EU or UK residency is a requirement, say so at scoping and it will be designed in rather than retrofitted.

Do you use our data or code to train AI models?

No. Your data isn't used to train any model that leaves your engagement, and it isn't pooled with other clients' data. Where a build fine-tunes or grounds a model on your data, that model belongs to your engagement and stays inside it. For third-party model providers, we use enterprise terms that exclude training on submitted content, and the specific provider and terms are disclosed during design - Phase 02, before anything is indexed.

What happens if there's a security incident?

A defined process with severity levels, a named escalation path and a notification commitment that goes in your contract rather than being decided under pressure. You get a named contact, not a ticket queue. Afterwards: a written post-incident review covering what happened, what was affected, what was changed, and what stops a recurrence. Incidents also feed the ISMS risk register, which is one of the things the annual surveillance audit looks at.

Can our security team audit you, or test what you've built?

Yes to both, and we'd rather you did. Client audits and questionnaires are normal; we'll complete yours in your format. For systems we build, independent penetration testing is welcome and often sensible - we'll support scoping, provide the threat model, and remediate findings on an agreed timeline. Right-to-audit clauses are a routine part of our agreements, not a negotiation.

Who is accountable if the AI you build gets something wrong?

The honest answer has two halves. Contractually, liability sits where your agreement puts it, and we don't ask for terms we wouldn't accept ourselves. Operationally, accountability is assigned before the build: every governance phase has one named Accountable owner on a RACI, and the sign-off at Phase 06 is performed by someone who didn't build the system. That's the point of the gate structure. When something goes wrong eighteen months in, the question “who decided this was acceptable, and on what evidence?” has a documented answer instead of an argument.

Talk to us

Send us your questionnaire

Not a pitch - a working conversation with the people who’d actually run the engagement. Bring your reviewer, bring your format, bring the questions above that we didn’t answer well enough.

The rest of the company

Trust is a posture. Here’s the rest of it.