Aaryanova helps organisations embed security at every layer — from AI security and threat modelling to secure architecture, cloud environments, and compliance. We help you harness AI safely while defending against AI-powered threats.
A full spectrum of cybersecurity services — from strategic consulting to hands-on technical delivery.
Strategic guidance across your entire security programme — policy, governance, vendor selection, and maturity assessment tailored to your risk appetite and business context.
Systematic identification and prioritisation of threats using STRIDE, PASTA, and MITRE ATT&CK — mapping your attack surface before adversaries find it first.
Embedding security controls at the architecture and design stage — where changes are cheapest and most effective — across products, platforms, and engineering teams.
Architecture reviews, IAM hardening, misconfiguration remediation, and continuous posture management across AWS, Azure, and GCP — built for cloud-native environments.
End-to-end GRC programmes covering risk frameworks, policy development, audit readiness, and compliance across ISO 27001, NIST CSF, SOC 2, GDPR, and sector-specific regulations.
Securing AI systems and defending against AI-powered threats — LLM threat modelling, adversarial ML risk, AI governance frameworks, and safe AI deployment strategies for your organisation.
Threat modelling is not a tick-box exercise — it is a structured conversation between security and engineering that surfaces the real risks in your systems before they are built, not after they are breached.
We map your system: assets, data flows, trust boundaries, entry points, and actors. Architecture diagrams are built or validated with your engineering team.
Using STRIDE, PASTA, or attack trees as appropriate, we enumerate threats at each component and data flow — prioritised by likelihood and impact.
For each threat, we assess existing controls, identify gaps, and recommend specific, costed countermeasures aligned to your engineering roadmap.
We revisit threat models as your system evolves — threat modelling is a living artefact, not a one-time deliverable.
Security is most effective — and cheapest — when built in from the start. We work alongside your architects and engineers at design time, not after the fact.
We assess proposed or existing architectures against security principles — least privilege, defence-in-depth, zero trust — and identify structural weaknesses before build.
Translating threat models and compliance obligations into clear, developer-readable security requirements that land in backlogs, not slide decks.
Defining reusable security patterns — authentication, encryption, API security, secrets management — that developers can implement consistently across your estate.
Hands-on secure coding training, code review support, and security champions programmes that shift security left sustainably.
Embedding security gates, SAST/DAST tooling, and dependency scanning into your CI/CD pipeline so security checks happen automatically on every release.
Designing data minimisation, consent flows, and retention controls into your systems from day one — meeting GDPR obligations without retrofitting.
Cloud environments introduce shared responsibility, dynamic infrastructure, and complex identity relationships that on-premise security thinking doesn't map cleanly onto. We bring cloud-native security expertise to AWS, Azure, and GCP.
Continuous assessment of your cloud configuration against CIS Benchmarks and provider best-practice frameworks — with prioritised findings, not raw dumps.
Right-sizing IAM roles and policies, eliminating over-privileged service accounts, and implementing Just-In-Time access across cloud environments.
Secrets management, encryption key governance, and data classification controls — ensuring sensitive data is protected at rest and in transit.
Building detection rules, log pipelines, and response playbooks tailored to cloud-native threat vectors including credential abuse and lateral movement.
Every engagement follows a structured methodology — grounded in your environment, not a generic playbook.
We are practitioners first — not a checkbox factory.
Our consultants have built and broken real systems — not just written reports about them.
Every engagement ends with clear, prioritised, actionable recommendations — not a 200-page document no one reads.
Strategy through to implementation. We stay engaged until the risk is actually reduced, not just documented.
Deep experience in AWS, Azure, and GCP security — not retrofitted on-premise thinking.
We understand AI risks from both sides — securing your AI deployments and defending against adversaries who weaponise AI to attack you.
We've worked with clients across financial services, healthcare, critical infrastructure, technology, and the public sector.
We leave your team more capable — embedding knowledge, not dependency, in every engagement.
Whether you're facing an immediate challenge, planning a major project, or simply want to understand your risk exposure — we'd like to hear from you.