Years Enterprise Experience
Average Cloud Cost Reduction
Audit & Roadmap Delivery
Cybersecurity & Zero-Trust Advisory
Your AI Initiatives Are Only as Secure as the Infrastructure Running Them
Cybersecurity has moved from a standard IT concern to a central strategic priority for every board globally. AI-powered cyberattacks are now automated, adaptive and operating at machine speed. Deepfake-based fraud is targeting financial workflows. Cloud environments built for speed are riddled with identity sprawl, over-permissioned roles and unmonitored lateral movement paths. And every LLM pipeline your business deploys is a new attack surface that traditional security frameworks were never designed to evaluate.
Vrintra Labs delivers a forensic cybersecurity assessment that maps your entire attack surface — cloud infrastructure, identity architecture, network segmentation, AI system endpoints and third-party integrations — and engineers a zero-trust security roadmap that closes every critical gap before your next audit, breach or regulatory examination. We apply zero-trust principles that assume breach, verify explicitly and enforce least- privilege access at every layer of your architecture. Our assessments are designed by engineers who have built and secured production AI and cloud systems — not compliance lawyers who learned security from frameworks.
For businesses deploying AI at scale, we provide a specialised AI security layer: securing LLM endpoints against prompt injection, jailbreaks and model inversion attacks; auditing agentic AI action permissions to prevent privilege escalation; and implementing runtime monitoring for anomalous model behaviour. If your AI Governance framework tells you what policies to have, our Cybersecurity Advisory tells you whether those policies are actually enforced at the infrastructure level.
What You Get
- Full attack surface assessment — cloud infrastructure, identity, network, endpoints and AI system exposure mapped and risk-scored
- Zero-trust architecture design — identity verification, micro-segmentation, device trust and least-privilege access across every layer
- Cloud security posture management (CSPM) — misconfiguration audit across AWS, Azure and GCP with prioritised remediation plan
- Identity & Access Management (IAM) architecture — role design, privilege escalation mapping and Privileged Access Management (PAM) strategy
- AI system security — LLM endpoint hardening, prompt injection defence, agentic AI action permission audit and model runtime monitoring
- Penetration test readiness — gap assessment and remediation plan before your third-party pen test engagement
- Compliance-ready security architecture — SOC 2 Type II, ISO 27001, NIST CSF, CIS Controls and industry-specific frameworks
- Security incident response plan — detection, containment, eradication and recovery procedures tailored to your architecture
Who This Is For
Businesses deploying AI systems that need to secure the infrastructure those systems run on. Cloud-native companies where engineering velocity has outpaced security governance and attack surface is poorly understood. Organizations approaching a SOC 2, ISO 27001 or enterprise customer security audit. CTOs and CISOs who need an independent forensic view of their security posture — not a rubber-stamp assessment. Any business that has experienced a security incident and needs a structured remediation roadmap.
Frequently Asked Questions
Everything you need to know about our cybersecurity and zero-trust advisory service.
Zero-trust is a security model that eliminates implicit trust from every network transaction. Instead of assuming that anything inside your network perimeter is safe, zero-trust requires continuous verification of identity, device health and permission scope for every request — internal or external. For AI-driven businesses this is especially critical because LLM pipelines, agentic AI systems and cloud-native architectures create new lateral movement paths that traditional perimeter-based security cannot detect or contain.
We assess prompt injection vulnerabilities in LLM-powered applications, jailbreak exposure in externally-facing AI endpoints, model inversion and data extraction risks in fine-tuned models, agentic AI action permission scope and privilege escalation paths, RAG system data exposure through retrieval manipulation, and supply chain risks in open-source model dependencies. These are attack surfaces that traditional penetration testing methodologies do not cover — we design assessments specifically for AI system architectures.
Our initial cybersecurity assessment and zero-trust roadmap are delivered within 14 days of engagement start. The assessment covers your cloud infrastructure posture, identity architecture, network segmentation and AI system exposure. The roadmap prioritises every identified gap by risk severity and implementation complexity so your team knows exactly what to fix first, second and third.
Yes. We begin with a gap assessment against your target compliance framework — identifying every control that is missing, partially implemented or documented incorrectly. We then engineer a remediation roadmap with the specific technical and procedural changes required to close each gap. We have prepared businesses for SOC 2 Type II and ISO 27001 certification with zero major non-conformances on first audit.
Our advisory engagement prepares you for penetration testing — we identify and remediate the gaps that a pen test will find before the pen test finds them, which significantly reduces the cost and remediation time of your pen test programme. For the actual penetration testing execution, we work with specialist third-party firms and can manage the entire pen test programme on your behalf as part of an extended engagement.