Secure product engineering

Security from week one

Cybersecurity Product Development

If your software holds sensitive data or sells to enterprise buyers, we design authentication, access control, audit trails and incident response in before launch, and review AI platforms against buyers' security questions.

Start Building Read Brief

BRIEF: SEC-06 POSTURE: HARDENED

Products facing a security review

CTOs and product leads building SaaS or AI platforms that touch private data, customer messages or financial records, plus teams building their own security product. Clients usually reach us after security was treated as an afterthought, or when controls exist on paper but users never learn why an action was blocked.

Time to call us when

An enterprise buyer sent a security questionnaire we cannot fully answer.
The next enterprise deal depends on SSO and role-based access.
Our AI feature sends customer data to a model without logging prompts.
If an incident hit tonight, nobody knows who makes the first call.

Where product security breaks

Security arrives at final review

By then the architecture is locked, and controls get bolted onto decisions nobody can reopen. Security needs a voice while guardrails can still shape the design.

Login works, record access unchecked

Users sign in properly, yet one customer can open another's records by changing an ID. Broken object-level authorisation has been the top API vulnerability for years.

Logs no investigator can use

After an incident you need who asked, what they asked, what the system retrieved and what it returned. Without that trail, a one-day investigation takes weeks.

Security joins the roadmap before the surface is locked

We start from the data flow: what the product stores and which vendors, AI model providers included, receive it. Access rules come next, down to each protected record, and the audit trail is designed at the same time. Security sits in product decisions early enough to shape the architecture instead of patching it.

Every blocked or logged action tells the user why it happened, in plain words. Enterprise buyers treat vague permissions and weak audit logs as reasons to slow adoption. For AI platforms, prompt handling, model access and vendor dependencies get the same design attention as login and roles, starting in week one.

1 week

Written AI platform security audit

4-8 weeks

Remediation ending with controls in place

Identity and access

SSO, granular roles and ownership checks on every protected resource. Passkeys first and hardware keys as backup, the same setup we run on our own infrastructure.

Audit trails

Authentication, file-access and admin-action logs kept in one place, plus prompt logs for regulated AI workflows, so you can show an investigator or insurer what happened.

AI platform security

Untrusted text kept apart from system instructions, outputs validated against a schema, written human-review rules, and an internal model layer with an eval harness across two providers.

Incident readiness

A playbook naming roles, communication channels and the first ten minutes of any incident, rehearsed once a quarter, with holding statements written before you need them.

What you hold at launch

A data-flow diagram that names every vendor
A role-permission matrix mapped to each protected resource
A written incident-response playbook with named roles
A pre-launch vulnerability assessment with fixes in priority order
Off-ramp criteria for your model provider, agreed upfront

How a secure build runs

Design in, then verify

01

01
Audit

For an existing platform: we read the data flow, identity model, audit logs and incident playbook, then write down what would fail under enterprise procurement.

Duration
1 week

Result
Written report, fixes in priority order
- Data flow
- Six layers
02

02
Design

Identity, roles, ownership checks, logging and output-review rules are designed with your product team while the architecture can still change, then signed off before build.

Duration
Before build

Result
Role-permission matrix and logging design agreed
- Roles
- Logging
03

03
Build or remediate

We implement the controls in your codebase or close gaps on a live platform. Changes to authentication, payments, user data or cryptography pass a separate security reviewer.

Duration
Remediation: 4-8 weeks

Result
Controls in place in production code
- Remediation
- Code review
04

04
Verify and rehearse

A vulnerability assessment before launch, then a drill against the incident playbook. Whatever breaks in the drill goes into the runbook before the next quarter.

Duration
Before launch

Result
Assessment report and a rehearsed playbook
- Assessment
- Drill

Standards in our security work

Authentication: Passkeys (FIDO2

WebAuthn)

hardware security keys
Code review: CODEOWNERS

GitHub branch rulesets

PHPStan level 8
Assessment frameworks: NIST Cybersecurity Framework

NIST SP 800-63B

Ways to engage on security

AI platform audit

One week, one written report across prompts, identity, audit logs, vendors, output review and incident response, with fixes in priority order.

Authentication review

One day on your login setup and any biometric legal exposure, ending with the smallest changes that remove the most risk.

Build or remediation

Security designed into a new product as fixed-fee milestones, or four to eight weeks of remediation ending with controls in place.

A 30-minute call to scope your data comes first, then a fixed quote.

Questions about product security

Which security control speeds up enterprise procurement most?

SSO with role-based access. Enterprise buyers treat it as table stakes, and its absence is a hard no for most of them. Adding it after a deal stalls costs far more than designing it in. The six layers enterprise buyers check cover the rest.

Is SOC 2 enough to pass an enterprise security review?

It is the floor. SOC 2 tells a buyer you have processes; it does not show whether your AI platform has a written incident playbook or handles prompt injection. The questions after SOC 2 decide the deal, and we design products to answer them.

Do you build security products or only secure other products?

Both. We build authentication systems, encrypted communications and security infrastructure as products, and design the same controls into SaaS and AI platforms. Either way the work starts from the data flow, and every protected resource gets an ownership check before launch.

Should we add Face ID or fingerprint login to our product?

Yes, through passkeys: the face or fingerprint is checked on the user's device and never reaches your servers. A server-side faceprint is personal data you cannot rotate, with serious exposure under GDPR Article 9 and Illinois BIPA. See biometric authentication for small businesses.

Can you also review our company's internal security?

Yes. A two-week posture review assesses your stack against the NIST Cybersecurity Framework and ends with a written report on identity, email, endpoints, backups and response, with fixes ordered by impact against effort. The SMB cybersecurity checklist shows what we look at.

Client reviews

What clients say about working with Vadim

5.0 75 reviews on Google

All reviews

עולם מיוחד 2025 · Google ★★★★★

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טלר תקשורת 2025 · Google ★★★★★

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Chaya Harash 2025 · Google ★★★★★

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Matar Gross 2022 · Google ★★★★★

We started working with Vadim: excellent, professional service, delivered quickly. We will keep working with him.

Boaz Shushan 2022 · Google ★★★★★

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ISRAEL TRANSPORT 2025 · Google ★★★★★

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Map your security gaps

Tell us what your product stores and who buys it, and we will recommend an audit, an authentication review or a build first.