LLM Security & Red Teaming Consulting

LLM Security & Red Teaming Consulting tests and hardens your large language models and the applications around them, so they resist jailbreaks, prompt injection, and misuse. We run real adversarial red-team engagements and close the gaps they reveal. Enterprises across Ecommerce, Manufacturing, Logistics, and Industrial Distribution deploy generative AI with confidence that it stays safe and compliant.

Official Odoo Implementation Partner

Odoo has chosen Vserve Ai as an implementation partner, recognising our technology and operational expertise to deliver business-ready Odoo solutions.

The Vserve AI Advantage

AI, Data Scientists & Engineering Experts

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Custom LLMs & AI Models Developed

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AI-Powered Business Workflows Automated

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Enterprise AI Integrations Delivered

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Our End-to-End LLM Security & Red Teaming Consulting Services

Our LLM Security & Red Teaming Consulting tests your large language models and their surrounding applications for real-world attacks, then hardens what we find. We map your AI attack surface, run adversarial engagements, and give you a clear, prioritised security roadmap.

Threat and Trust Model

A threat and trust model maps your AI attack surface, so the red team targets the risks that actually matter.

Adversarial Testing

We probe prompts, inputs, and model behaviour for real vulnerabilities the way an attacker would.

Vulnerability Assessment

Models and applications are assessed against security and robustness risks, with findings ranked by impact.

Security Governance Review

A governance review checks that your AI systems and data handling meet security and compliance rules.

Prioritised Remediation

You get a prioritised remediation roadmap that turns findings into concrete fixes your teams can execute.

Re-Testing and Validation

We re-test after fixes to confirm vulnerabilities are closed and the system holds under renewed attack.

Monitoring and Validation

Monitoring and validation keep the system secure as models, data, and prompts change over time.

Security Training and Enablement

Your teams are trained to run security reviews and respond to attacks, so security stays embedded in how you build.

Harden Your LLM Applications

Our LLM security consulting tests your AI systems like an attacker and closes the gaps before they become incidents.

Industry-Focused LLM Security & Red Teaming Consulting

LLM security is shaped by the data and threats of each industry, so red teaming targets the risks your operations face.

LLM Security & Red Teaming for Ecommerce

Ecommerce teams red team AI across product, pricing, and customer data to prevent misuse and fraud.

LLM Security & Red Teaming for Manufacturing

Manufacturers test AI on plant and planning systems to keep automated decisions safe and secure.

LLM Security & Red Teaming for Logistics and Supply Chain

Logistics operators red team AI on shipment and network data to protect operations from attack.

LLM Security & Red Teaming for Industrial Distribution

Distributors secure AI on quote and catalogue workflows where automation touches real money.

Plan Your LLM Security Red Team with Our Experts

A security engagement begins with a clear view of your AI attack surface and ends with tested, hardened systems. We map the models and applications, confirm the risk priorities, and agree the red-team plan that closes real gaps.

What Happens When You Book a Call:

Our AI technology expertise spans the latest frameworks, models, and platforms, enabling us to build secure, scalable, and enterprise-ready AI solutions for complex business challenges.

[ 1 ] Machine Learning (ML)

Build smarter systems that learn from data, identify patterns, and improve decision-making through advanced machine learning models tailored to your business needs.

Explore Machine Learning Solutions

[ 2 ] Generative AI

Create intelligent applications that generate content, automate workflows, and deliver personalized experiences using powerful generative AI capabilities.

Build with Generative AI

[ 3 ] Agentic AI

Develop autonomous AI agents that can understand goals, make decisions, and execute complex tasks to improve productivity and business operations.

Discover Agentic AI Solutions

[ 4 ] Retrieval-Augmented Generation (RAG)

Enhance AI accuracy by connecting intelligent models with your business data to deliver relevant, context-aware responses and insights.

Implement RAG Solutions

[ 5 ] Deep Learning

Leverage advanced neural networks to solve complex challenges involving images, language, automation, and large-scale data analysis.

Explore Deep Learning Services

[ 6 ] Natural Language Processing (NLP)

Enable machines to understand, analyze, and respond to human language with AI-powered solutions for communication and automation.

Transform Your Business with NLP

[ 7 ] Predictive Analytics

Use AI-driven analytics to forecast trends, identify opportunities, and make proactive decisions with data-backed insights.

Unlock Predictive Analytics

[ 8 ] Data Capture & OCR

Automate data extraction from documents, images, and forms with intelligent OCR solutions that improve accuracy and reduce manual effort.

Automate Data Processing

[ 9 ] Robotic Process Automation (RPA)

Streamline repetitive tasks and optimize workflows with intelligent RPA solutions that improve efficiency and reduce operational costs.

Automate Your Processes

[ 10 ] Cloud AI & MLOps

Deploy, manage, and scale AI solutions efficiently with cloud-based AI platforms and MLOps practices designed for reliable performance.

Scale AI with Cloud & MLOps

AI Models We Integrate

ChatGPT

Anthropic

Meta AI

Grok

Amazon Bedrock

Our Technology Ecosystem

Build Custom AI Solutions for Your Industry

Our LLM Security & Red Teaming Process

This structured engagement probes your AI systems, hardens what it finds, and re-verifies so you can deploy with confidence.

Scope the Attack Surface Your AI systems, applications, and trust boundaries are mapped to target the right risks.

Plan the Red Team Adversarial scenarios and attack suites are designed around your models and use cases.

Probe and Assault Real attacks are run against prompts, inputs, and models to surface live vulnerabilities.

Assess and Prioritise Findings are ranked by severity and impact into a clear security picture.

Remediate Controls and guardrails are designed and fixes are applied to close the gaps.

Re-test and Harden The system is re-tested to confirm vulnerabilities are closed and monitoring is set up.

Engagement Models for LLM Security & Red Teaming Consulting

Model choices run from a one-off red team to an embedded security partner.

Fixed-Scope Red Team

One agreed assessment scope defines the work, with price and deliverables fixed before we start.

Red team run
Findings report delivered
Scope agreed upfront

Continuous Red Team

Recurring engagements keep your AI security tested as models, data, and prompts evolve.

Re-tests every quarter
Coverage keeps pace
Threats tracked over time

Co-Development Model

Your security and engineering teams work with our consultants so skills stay in-house.

Control stays in-house
Red team built with your team
Security skills transferred

Embedded Security Team

A standing security team runs red teaming across your AI estate as an ongoing partner.

Assurance stays continuous
Gates reset each quarter
Findings shipped regularly

Build-Operate-Scale Model

We build, run, and extend your security program, covering more systems as AI grows.

Red team run continuously
Systems added every cycle
Grows with the estate

LLM Security & Red Teaming Business Impact

Running a red team with us reduces AI incidents, avoids costly breaches and compliance exposure, and ships secure generative AI faster.

Cut AI Security Incidents

Proactive red teaming finds and fixes vulnerabilities before attackers exploit them.

35%

fewer AI security incidents after remediation

Protect Revenue and Trust

Preventing breaches and misuse protects revenue, customers, and your brand.

lower exposure to costly AI breaches

Ship Secure GenAI Faster

A tested, hardened system clears security gates sooner than untested deployments.

6 wks

sooner to compliant, secure deployment

AI Development Case Studies Across eCommerce, Manufacturing, and Supply Chain

Explore how our tailored AI solutions turn complex operational challenges into measurable growth. From predictive logistics to personalized commerce, we bridge the gap between innovation and ROI.

Intelligent Supply Chain Risk Management

A manufacturer reduced supply disruption response time by 73% using proactive AI agents.
A global manufacturer deployed autonomous AI agents to monitor supplier networks, geopolitical signals, and logistics data in real time. The system identified risks before they escalated, automatically rerouted procurement, and reduced operational downtime by 38% within the first quarter of deployment.

Autonomous eCommerce Personalisation at Scale

An eCommerce platform increased conversion rates by 41% through the deployment of AI agents.
A mid-market eCommerce retailer integrated AI agents to autonomously manage product recommendations, dynamic pricing, and abandoned cart recovery. The agents processed real-time behavioural signals and adapted content per user, delivering a 41% lift in conversions and a 28% increase in average order value.

Real-Time Logistics Route Optimisation

A logistics operator cut delivery costs by 34% using autonomous route-optimisation AI agents.
A regional logistics provider deployed AI agents to continuously process traffic data, weather signals, and delivery constraints, autonomously reassigning routes in real time. The result was a 34% reduction in fuel and carrier costs, a 22% improvement in on-time delivery rates, and a significant reduction in dispatcher workload.

Ready to Start Your Custom AI Solutions?

Bring a new idea or a complex operational challenge,
and we’ll engineer the right solution for you.

Frequently Asked Questions

What is LLM security and red teaming?

LLM security and red teaming tests large language models and their surrounding applications for real-world attacks. It probes prompts, inputs, and behaviour for vulnerabilities like jailbreaks and injection. The findings drive fixes that make AI deployment safer.

Why do I need to red team my AI?

Models can be tricked, misled, or exploited in ways that normal testing misses. Red teaming finds those gaps before attackers or users exploit them. This protects your data, customers, and brand.

What kinds of attacks do you test for?

We test prompt injection, jailbreaks, data leakage, system prompt extraction, and misuse of model output. Each scenario is run the way an attacker would. This coverage uncovers the most common real risks.

Are our models safe without testing?

No model is safe by default, and applications around models add risk. Testing reveals the specific weaknesses in your stack. Red teaming turns unknown risk into a known, handled list.

How do you keep our data secure during testing?

We run red team engagements against your own test environments and controlled data. Access is scoped and findings are handled confidentially. This keeps your production data safe while we probe.

What do we get after a red team?

You receive a prioritised findings report, a remediation roadmap, and recommended controls and guardrails. After fixes, we re-test to confirm gaps are closed. This gives you a clear path to secure deployment.

How long does a red team engagement take?

A first fixed-scope assessment typically completes in six weeks, covering scoping, testing, and reporting. Remediation and re-testing follow after the findings are fixed. The timeline is built around your release gates.

Do you work with any language model?

Yes. We red team models and applications regardless of provider, including open-source and commercial models. Testing adapts to your stack and use cases. This keeps the assessment relevant to your systems.

Who should use this service?

Any team deploying generative AI for customers, employees, or operations should red team first. It matters most where AI handles sensitive data or automated decisions. This applies across Ecommerce, manufacturing, logistics, and distribution.

How much does LLM security consulting cost?

Costs depend on scope, number of models, and depth of testing. A fixed-scope engagement is affordable, while continuous programs cost more. The ROI is strong through avoided incidents and compliance exposure.