Discover our principle AI services and implementation security solutions designed to protect your business and enhance AI innovation.
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Machine Learning Red Teaming
Our engineers will rigorously test your models for AI Poisoning, ML inversion vulnerabilities and more. This is a one-off exercise and recommended annually.
AI Asset Discovery
Usually the first step for our clients. DevSecAI Embedded engineers will map out your AI Assets and usage across all areas of your organisation using our DevSecAI Platform.
AI Inherent Risk Assessment
Our consultant engineers will conduct inherent risk assessments and assign impact values. This is crucial to prioritise AI security risks to areas of your business.
AI Security Maturity Assessment
We will review all of your current AI ways of working covering people, process and technology and benchmark your current maturity level.
AI Secure Config Review
Our embedded engineers will conduct a deep technical analysis of every AI tool in use using our DevSecAI Platform. This will culminate in a list of security configurations that should be enabled and why.
AI Risk Report
The output from the AI Discovery, Inherent risk assessment, maturity assessment and secure config reviews will result in risks. These risk will be tracked, presented and access provided to your teams for continual monitoring.
AI Threat Landscape Report
Who are the specific threat actors that would target your business? We will conduct a deep global search of your likely threat actors based on your industry and AI risks and identify the methods they would use to attack. DevSecAI engineers can then prioritise your defences.
AI Security Strategy
We will design you an AI security strategy that is aligned to your business strategy and tech strategy. It will set out the vision and goals to support the business in its objectives whilst increasing the AI Security maturity score and reducing AI security risk whilst looking at the future threats from the threat landscape report.
AI Security Roadmap
A one-year roadmap plan and three-year roadmap plan is recommended. We will initially package multiple options to achieve your security strategy with varying costs versus risk benefit. Once initiatives are decided we will design a one-year and three-year roadmap for delivery.
AI Threat Modelling Workshop
Your DevSecAI embedded engineer will conduct detailed threat modelling workshops to simulate AI attacks within your business. The outputs of which will be added your risk tracker.
DevSecAI Champions Program
We will design and rollout a DevSecAI champions program across your business. This will evenly select individuals within your business that can upksill in AI Security Best practices and your embedded engineer will teach them across a set period of time on how to improve AI security.
AI Security Training Workshops
Our AI security workshops are hands-on, include live projects and up-skill those in attendance on AI security risks and mitigations. This can be a stand-alone delivery.
Implementation Solutions
Our above principles services are designed to rapidly assess your AI risks allowing us to prioritise the right solutions for your business. We can then begin making change and deploying solutions to protect you. Where possible we will implement open-source tooling. We cannot provide recommendations on specific tooling until we understand your AI usage and risks. Our research labs will review your principle results and provide recommendations before delivery.
- Data Poisoning Defence Tools
- ML Inversion Protection Tools
- Prompt Injection Tools
- Adversarial Protection Tools
- ML Inference Protection Tools
- ML Runtime Monitoring Tools
- Gen AI Enforcement
- ML Third-Party Model Protection
- ML Access Control Hardening tools
- ML Bias Enablement Tools
- Data Tagging
- Data Anonymisation
- DORA, GDPR & EU AI Act. Compliance Reviews.
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