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Cloud & AI Security
Security assurance purpose-built for modern cloud estates and AI-powered applications. From configuration hardening across AWS, GCP and Azure to specialised testing of LLM-era attack surfaces and standards-driven AI governance.
Overview
Cloud & AI Security for modern estates and AI-powered applications
Cloud and AI security is assurance built for how you actually run today: workloads spread across AWS, GCP and Azure, and applications that now reason with large language models. The problem it solves is that both bring native risks the old playbook does not cover. Many cloud incidents trace back to misconfiguration and identity gaps rather than exotic exploits, and AI applications open attack surfaces, such as prompt injection, that a conventional test never looks for. This service hardens the configuration and tests the AI, so you can move fast without inheriting either risk.
It is built for regulated and high-growth organisations adopting cloud and AI at pace and needing to prove they are doing so responsibly. Baknet acts as one point of accountability spanning security, data assurance, software QA and people, so configuration hardening, application testing and governance are handled together rather than by disconnected specialists. The work stays evidence-led: findings you can reproduce, fixes proven closed, one retest included and progress reported every day. Baknet is certified to ISO/IEC 27001 and ISO 9001 at firm level, so the way we handle your environment and data is itself audited.
What it includes
What it includes
Security Configuration Audit
We assess your cloud accounts for compliance to your own organisational security baseline or to CIS Benchmarks for Amazon Web Services, Google Cloud Platform and Microsoft Azure. This is where most cloud risk actually sits, in permissive access, exposed storage and drifted settings, and a benchmark gives you an objective bar to hold every account to. You get a clear picture of where you stand and what to fix first.
Managed Cloud Security
Beyond a point-in-time audit, we provide complete security configuration management for your cloud-hosted instances and accounts, across single or multi-cloud setups. Configuration decays as teams ship changes, so posture that was clean last quarter quietly erodes. Ongoing management keeps your estate aligned to baseline rather than drifting away from it.
Specialised Pentesting for AI Applications
We test the attack surfaces unique to LLM-powered applications, identifying flaws such as prompt injection, context tampering, insecure output handling and system prompt or instruction leakage. These weaknesses do not appear in a standard application test because they exploit how the model interprets input, not just how the code runs. Every finding comes with reproducible evidence.
AI Security and Governance Framework
We help you stand up a standards-driven, operationally compatible framework for secure, scalable and mature adoption of AI systems. Rather than slowing teams down, it gives them defined guardrails to build within, and gives leadership evidence that AI is deployed under real controls and accountability.
How we deliver
Delivering Cloud & AI Security
A disciplined path from discovery to continuous management, with findings rated by severity, daily progress updates and one retest round included.
01
Discover the Estate
We inventory cloud accounts, workloads and AI applications, and agree the applicable baseline, whether organisational or CIS.
02
Assess and Test
We audit configurations against the chosen benchmarks and pentest AI applications for prompt-injection-class weaknesses, capturing evidence and removing false positives as we go.
03
Harden and Govern
We remediate misconfigurations, embed guardrails and stand up the AI security and governance framework, with findings rated by severity and framed by business impact.
04
Manage Continuously
We provide ongoing configuration management across single or multi-cloud with drift detection and periodic re-audit, so posture holds between assessments rather than decaying.
It is the same disciplined path we use across the practice. See how we work on How We Engage.
Business value
Why it pays off
Misconfiguration Risk Reduced
Because misconfiguration and identity gaps sit behind many cloud incidents, continuous benchmark alignment closes a common route in. Every account is held to a consistent, audited baseline, leaving no quietly misconfigured resource for an attacker to find.
Safe AI Adoption
You can ship AI features confidently, knowing LLM-specific attack paths have been tested and governed. Weaknesses such as prompt injection are found before release, so innovation moves forward without exposing users or data. Because the same team also handles Software QA, quality and security assurance for your AI features move together.
Multi-Cloud Consistency
One security posture is enforced uniformly across AWS, GCP and Azure, with no weakest-link account. Consistent controls remove the blind spots that appear when each platform is configured in isolation.
Board-Level AI Assurance
A standards-driven governance framework demonstrates mature, responsible AI adoption to stakeholders and regulators, and complements formal Standards Compliance work. It gives the board clear evidence that AI is deployed under defined controls and accountability.
Cloud and AI innovation at full speed, without inheriting their native risks.
What you receive on every engagement
Daily Progress Updates
Severity-Rated Report
Reproducible Evidence
One Included Retest
Questions, answered
Frequently asked
Which cloud platforms do you cover?
Amazon Web Services, Google Cloud Platform and Microsoft Azure, in single or multi-cloud configurations, audited against CIS Benchmarks or your own organisational baseline.
What does AI application pentesting involve?
We test the attack surfaces unique to LLM-powered applications: prompt injection, context tampering, insecure output handling, instruction leakage and related classes, with reproducible evidence for every finding.
Can you manage our cloud security continuously?
Yes. Our managed option provides ongoing configuration management with drift detection and periodic re-audit, so posture holds between assessments rather than decaying.
Do we need the governance framework if we only have one AI feature?
Even a single feature benefits from defined guardrails, and starting early is easier than retrofitting governance later. We scope the framework to your current maturity so it fits what you are building now and scales as adoption grows.
How does an engagement start, and what do you need from us?
We begin with a short discovery to inventory your cloud accounts, workloads and AI applications, and to agree the applicable baseline, whether your own organisational standard or CIS Benchmarks. From there we confirm access, timelines and priorities, then move into assessment. The clearer the initial picture of your estate, the faster we can focus on what matters.
What frameworks and benchmarks guide the work?
Cloud configuration is assessed against CIS Benchmarks or your own organisational baseline, and AI testing draws on established guidance for large language model application security, such as the OWASP Top 10 for LLM Applications. Governance is built to be standards-driven and operationally compatible, so it aligns with recognised control frameworks rather than sitting apart from them.
How do you handle confidentiality and access to our environment?
Engagements run under NDA, and access is scoped to what the work requires and revoked when it ends. Baknet is certified to ISO/IEC 27001 and ISO 9001 at firm level, so the way we handle your environment, credentials and findings is itself audited. Evidence and reports are shared securely with your named contacts.
What deliverables do we receive?
You receive severity-rated findings with reproducible evidence, clear remediation guidance framed by business impact and, where relevant, the AI security and governance framework itself. Daily progress updates run throughout the engagement, and one retest round is included to confirm that fixes hold.
How does this fit with our in-house team and other Baknet practices?
We work alongside your engineers rather than around them, sharing evidence and guidance so your team can remediate with confidence. Because Baknet spans security, data assurance, software QA and people, cloud and AI security dovetails with related work such as Software QA and Standards Compliance under one point of accountability.
How is pricing structured?
Every engagement is scoped to your estate and objectives, so pricing follows the agreed scope rather than a fixed list. Tell us your context and constraints and we will return a clear, evidence-driven proposal, with no obligation.
Also in Cybersecurity: Security Testing · Cyber Advisory · Standards Compliance · Managed SOC
Let us scope it with you.
Share your context and constraints. You will receive a clear, evidence-driven proposal for Cloud & AI Security, with no obligation.