Istvan Benedek / AI security and regulated evidence systems

For UK regulated teams

Scope AI security evidence

Start 30-minute fit call

Fixed-scope review for AI apps, agents, vendors, and regulated teams.

Start with AI security assessment, governance starter pack, insurance renewal, or a live product-security blocker.

AI governance / application security / regulated evidence.

For CISOs, CTOs, Heads of Platform, Product Security leaders, founders, and risk owners facing AI or regulated review pressure.

Availability Available for focused advisory, AI security reviews, evidence sprints, and fractional leadership.

What to send me

Launch / review deadlineAI system / vendorCurrent ownerMain blockerPreferred call window

Principal application security engineer background

Level 1 PCI DSS / PCI PIN / PCI MPoC / ISO 27001 execution

Threat modeling, cloud, Kubernetes, CI/CD governance, and audit support

Package the first decision.

Start with the narrowest live decision: launch risk, review evidence, or fractional ownership for AI systems under insurance, customer, board, or regulatory pressure.

Assessment

AI Security Assessment

Independent review before a chatbot, agent, AI feature, or vendor workflow goes live.
Checks
Prompt injection, data leakage, model abuse, agent tools, MCP exposure, access control, logging, and supply chain.
Output
Risk-ranked findings, control backlog, and executive summary.

Starter Pack

AI Governance Starter Pack

A concrete operating pack for teams that need AI governance without a long consulting programme.
Checks
AI policy, use inventory, risk register, vendor assessment, incident process, and owner attestation.
Output
Board-ready AI governance pack and reusable evidence templates.

Fractional Lead

Fractional AI Governance Lead

Part-time senior security and governance leadership while the programme is forming.
Checks
Intake cadence, risk decisions, underwriter answers, control validation, and engineering handover.
Output
Monthly operating rhythm with named owners and decision records.

AI review backed by practical security delivery.

This is not a policy-only exercise. The review connects AI risk to architecture, threat modeling, cloud controls, engineering workflow, and audit evidence.

Application security depth

  • Principal Application Security Engineer
  • Threat modeling with STRIDE and OWASP ASVS
  • Security architecture reviews for product and platform teams

Cloud and engineering governance

  • AWS and Kubernetes security review
  • Secure SDLC design and rollout
  • Security tooling and CI/CD guardrails

Risk, assurance, and enablement

  • Risk assessment and vulnerability management
  • Compliance and audit evidence support
  • Mentoring and operating-model support for hundreds of developers

Public company track record

Experience across payments, enterprise SaaS, ecommerce, vulnerability management, financial-services data, and banking environments.
TeyaAnaplanASOSPaddy Power BetfairQualysMSCI BarraCiti

Choose the pressure point.

First outputs

AI risk registerThreat modelControl backlogOwner matrixExecutive summary

Best fit

Regulated SaaS, fintech, payments, AI-enabled products, or platform teams under external review pressure.

Service lines for regulated teams.

Pick the pressure point closest to the review, audit, renewal, or delivery blocker you are facing.

Artifacts reviewers can actually use.

Example structures only, not client data. The point is a usable evidence path: control, owner, proof, gap, and next action.

Evidence map

Sanitized PCI / HSM control map

A reviewer-facing map format for payment controls, owners, HSM dependencies, evidence locations, and remediation status.

Control PCI PIN key-management evidence

Owner Payments security lead

Evidence Ceremony record + access attestation

Gap Missing quarterly owner sign-off

Board memo

Board-risk memo outline

A leadership memo structure for material risks, decision options, named owners, review dates, and board-ready status.

Risk External review blocker

Decision Accept / mitigate / defer

Owner CTO / CISO / platform lead

Next Owner update before review date

AI pack

AI insurance evidence pack

A compact underwriting evidence model for AI inventory, vendor diligence, model ownership, data paths, and control records.

Inventory AI use + owner + data path

Risk Vendor and model notes

Control Approval and exception record

Answer Underwriter Q&A pack

Review lane

Product security review lane

A delivery workflow for review triggers, threat-model prompts, exception handling, release proof, and remediation owners.

Trigger High-risk product change

Evidence Threat model + release proof

Queue Owner-led remediation

Exit Decision logged before release

Send one paragraph or ask for a fit call.

Need a clean AI security answer before the next review?

London / remote. Available for AI security assessments, AI governance starter packs, insurance evidence, product and platform security, PCI/HSM work, and fractional security leadership. Full career history and public track record on LinkedIn

What to send me

Launch / review deadlineAI system / vendorCurrent ownerMain blockerPreferred call window

Reviewer-ready artifacts PCI, product, cloud, HSM, vendor, AI, audit, and client assurance materials.

Regulated payment delivery PCI DSS, PCI PIN, PCI MPoC, ISO 27001, HSM, and payment-system execution.

Engineering depth Cloud, Kubernetes, Rust-heavy tooling, cryptography, and platform security.

AI / security fit call brief