Security

Cybersecurity

Application, AI, and cloud security, designed in before workloads land.

One design covers the applications you ship, the AI you put into production, and the cloud underneath both. It maps to UAE, Saudi, and international frameworks as advisory alignment.

Discuss an AI Security Review See where to start

For AI already touching real data

  1. Threat model
  2. Controls
  3. Evidence
Best for
Applications, cloud foundations, or AI workloads where the attack surface is growing faster than security coverage.
You leave with
A prioritized threat model, controls that close the paths that matter, and evidence your team can use.
Best first step
AI Security Review or Application Security Review

The challenge

AI and cloud have outgrown the security model

AI is being adopted faster than it is secured, and the weak point is usually the system around the model.

  • $8M

    The cost of a breach here

    The average Middle East breach, against a global average of $4.99 million.

    Source: IBM Cost of a Data Breach Report 2026

  • 27%

    AI breaches start around the model

    Compromised APIs, applications, or plug ins were the most common route into AI systems, level with cloud misconfigurations.

    Source: IBM Cost of a Data Breach Report 2026

  • #1

    Exploits are now the top way in

    Vulnerability exploitation overtook stolen credentials as the top entry point, the first time in 19 years.

    Source: Verizon 2026 Data Breach Investigations Report

  • 38%

    Governance lags adoption

    Only 38% of Middle East organizations had formal AI governance policies, yet UAE and Saudi rules expect controls that can be evidenced.

    Source: IBM Cost of a Data Breach Report 2025, Middle East

The underlying constraint is skills. AI, application, and cloud security sit with different teams, and the attacks that matter cross all three.

The solution

Security as one design across three layers

Threat model the systems that matter, then close the paths an attacker would actually take.

Application AI Cloud Exposed API Agent with broad permissions Data that should have been isolated Pipeline check Agent permission boundary Landing zone guardrail
Attacks that matter cross layers. One design places a control on every layer the path crosses.

What changes

  • Three separate auditsbecomes One design across every layer
  • A gate before go livebecomes A design input while change is cheap
  • Testing once a yearbecomes Testing in the pipeline
  • Findings reportedbecomes Exposure removed, with evidence

How AI is used

  1. AI maps the gaps

    AI assisted analysis reads configuration, code, and policy documents against your frameworks and flags the gaps.

  2. Testing tools prove findings

    Agentic testing tools show which application findings are actually exploitable.

  3. Senior review decides

    Which gaps carry business risk, and the order they close. You keep the code, policy, and runbooks.

Capabilities

Four capabilities, one control set

  • AI security

    Threat models and guardrails for LLM and agentic systems.

    • Prompt injection and data exfiltration defences
    • Least privilege for the tools agents can call
    • Mapped to the OWASP Top 10 for LLM Applications, NIST AI RMF, ISO/IEC 42001, and the UAE AI security policy

    Solves AI breaches that start around the model

  • Application security

    Secure pipelines, with findings proven and fixed.

    • Threat modelling and secure pipeline design
    • Secrets, API, and identity security
    • Fixes worked through with your developers until closure is verified

    Solves Exploits as the top way in

  • Cloud security and landing zones

    Multi account foundations with controls defined as code.

    • Identity federation and privileged access
    • Segmentation, encryption, and key management
    • Detection designed to feed the security operations you already run

    Solves The cost of a breach

  • Control mapping and evidence

    One control set mapped to the frameworks you report against.

    • Evidence collected from the environment, not questionnaires
    • Gaps ranked by exposure, in business terms
    • Aligned to UAE Information Assurance Standards, DESC, NCA controls, and SAMA

    Solves Governance that lags adoption

How an engagement runs

  1. Discovery and assessment

    Threat model the systems that matter and map current controls against your frameworks.

  2. Design

    Set the target controls across application, AI, and cloud layers, ranked by exposure.

  3. Build

    Implement guardrails, pipeline checks, and AI permission boundaries in defined waves.

  4. Enable and hand over

    Hand over policy as code, runbooks, evidence, and the skills to run them.

Scope and commercial model are tailored to your requirement.

Why vistraXa

Built on two decades of enterprise security

Founded on more than 20 years of enterprise technology experience, including leading cloud adoption, migration, and security programmes at AWS for financial services, public sector, retail, and telecommunications organizations across Europe and the Middle East.

  • AI security depth

    Guardrails and permission boundaries for AI, from a practice that also builds AI systems.

  • Four disciplines, one design

    Cloud, security, and AI are decided together, so there are no seams for an attack to fall through.

  • Regional and regulatory fluency

    Advisory alignment to UAE, Saudi, and UK frameworks, including the UAE AI security policy.

Based in Dubai, working across the UAE, Saudi Arabia, the United Kingdom, and wider EMEA.About vistraXa

Where to start

Ready to secure what you are building?

Pick the starting point that matches where you are today.

  • Start here if you already have AI touching real data

    AI Security Review

    A threat model and a hardening plan for your AI or LLM workload.

    Discuss an AI Security Review
  • Start here if you need code level findings with fixes

    Application Security Review

    A threat model, a pipeline review, and code level findings with fixes.

    Discuss an Application Security Review

Not sure which route fits? Compare all assessments

Frequently asked questions

We are only piloting AI. Is an AI Security Review premature?

If the pilot touches real customer or business data, no. That is when permission boundaries, data handling, and logging need deciding. If not, an Application Security Review is usually the better first step.

Where does our data sit during the engagement?

Assessment work runs inside your environment, with access you grant and can revoke. Where agentic testing tools are used, their processing locations are checked against UAE PDPL and Saudi PDPL before any test runs.

Will this satisfy our regulator or auditor?

Controls and evidence are mapped to UAE, Saudi, and international frameworks as advisory alignment, so audit preparation starts from a traceable record. vistraXa does not certify compliance or act as an accredited testing provider.

Do you monitor our environment afterwards?

No. Detection and logging are designed to feed your own security operations or your chosen provider. Lightweight advisory support can continue if you want it.

What does it cost?

Each engagement is scoped to a defined outcome and priced as fixed scope wherever the work allows, with the scope set during discovery.

Start a conversation

Ready to turn the next idea into a working system?

Share the outcome you are aiming for. vistraXa will help you find the right starting point, whether that is building, modernizing, migrating, or securing.

Start the conversation info@vistraxa.com

Based in Dubai, working across the UAE, Saudi Arabia, the United Kingdom, and wider EMEA.