AI Security
Secure adoption of generative AI and machine learning, with the governance to keep it accountable.
1 serviceAI security · Cloud security · DevSecOps
We are an independent security consultancy for teams building on the cloud and shipping AI. We secure what you already run — AWS, Google Cloud, Kubernetes, CI/CD and the applications on top — and put the governance around it that your customers and auditors expect.
What we do
Most security problems cross boundaries. We work across all four areas so the controls you get in one are consistent with the others — not four vendors' worth of contradictory advice.
Secure adoption of generative AI and machine learning, with the governance to keep it accountable.
1 serviceSecurity engineered into how software is designed, built, tested and shipped.
2 servicesArchitecture, identity, detection and posture management across AWS, Google Cloud and Kubernetes.
3 servicesStrategy, risk, compliance and incident readiness for organisations building a security programme.
2 servicesAI security & governance
Generative AI changes what an application can be talked into doing. We threat model the architecture you have actually built — prompts, retrieval, tool calls, agent autonomy — and put controls where they hold: authorisation at the data layer, least privilege for tools, human approval on irreversible actions.
Cloud & cloud-native security
A one-off cloud clean-up decays within two quarters. We fix the current findings and then encode the baseline — organisation policy, service control policies, Terraform modules, admission control — so every new account, project and cluster inherits it.
Services
From a single threat model to a full security programme. Each engagement is scoped to a defined problem, with deliverables agreed before we start.
AI Security
Adopt generative AI and machine learning without opening a new class of exposure — from model and data protection to prompt injection defence and an AI governance framework your auditors and customers can follow.
DevSecOps & AppSec
Build security into the delivery pipeline instead of bolting it on at the end — secure SDLC, CI/CD hardening, IaC scanning, supply-chain controls and guardrails engineers will actually keep.
DevSecOps & AppSec
Threat modelling, secure design review, application security testing and a vulnerability management process that closes findings instead of collecting them.
Cloud Security
Secure AWS architecture, least-privilege IAM, detection with GuardDuty and Security Hub, and posture management that keeps multi-account estates defensible as they grow.
Cloud Security
Google Cloud security architecture, IAM and organisation policy, VPC design, Security Command Center, Workload Identity and GKE hardening — built and maintained as code.
Advisory & Compliance
Security strategy, architecture review, maturity assessment, vulnerability management and incident readiness — built into a programme with owners, metrics and a roadmap leadership can fund.
Who you work with
You work directly with the people who do the work. No pyramid staffing, no handover to a junior team after the pitch.
Principal Consultant — DevSecOps, Cloud & AI Security
Noida, Uttar Pradesh, India
Engineering leader with 13+ years across Site Reliability Engineering, DevOps, cloud infrastructure and security operations, focused on embedding security into how platforms are built, delivered and run.
Principal Consultant — Application Security, GRC & Security Operations
Toronto, Ontario, Canada
CISSP, CCSP and CISM-certified security engineer whose work spans application security and penetration testing through to running a full cybersecurity programme — risk, compliance, vulnerability management and incident response.
Who we support
We support organisations across these sectors. Sector context shapes the risk model and the compliance obligations, but the underlying engineering discipline is consistent.
How we work
Security work goes wrong when scope is vague and findings arrive without a plan. Every engagement follows the same shape, so you know what you are getting and when.
A short, no-obligation conversation about your environment, what is driving the work, and the outcome you need. If we are not the right fit, we will say so.
A written proposal with defined scope, approach, deliverables, timeline and commercials. Any testing is explicitly authorised in writing before it begins.
Hands-on review of the environment, architecture, pipeline or application in scope, using recognised frameworks and methodologies rather than a generic checklist.
Findings ranked by real exploitability and business impact, with a technical report and an executive summary written for the people who fund the fix.
We work alongside your engineers — reference architectures, policy as code, pipeline changes, Terraform modules — rather than handing over a PDF and leaving.
Retesting to confirm the fix, plus the standards, runbooks and training that keep the improvement in place after the engagement closes.
Why work with us
Plenty of firms will tell you what is wrong. The value is in the part that comes next.
Our consultants have built and operated the systems they review — cloud platforms, CI/CD pipelines, Kubernetes, security operations. Recommendations come with implementation detail, and often with the code.
We rank findings by exploitability, reachability and blast radius rather than by scanner severity, so your team spends its limited time on what actually reduces exposure.
AI security is a core practice, not a keyword. We threat model LLM, RAG and agentic architectures and align governance to NIST AI RMF and ISO/IEC 42001 rather than repackaging generic advice.
Offensive testing and security engineering on one side, governance, risk and compliance on the other. You get a fix for today and a programme that stops the issue recurring.
Insights
Practical writing on AI security, cloud security and DevSecOps — the things we find ourselves explaining most often.
Filtering malicious-looking text is a losing game. The durable fix is to constrain what an AI system is allowed to do, not to guess which input is hostile.
Long-lived service account keys are the most common serious finding in a GCP assessment. A migration path to Workload Identity that will not break your pipelines.
A backlog that only grows is not a resourcing problem. It is usually a prioritisation model that treats every finding as equally real and equally urgent.
Tell us what you are trying to secure and where it hurts. We will tell you what we would do first, whether or not you engage us.