Organisations deploying AI face the critical challenge of embedding security from the outset, as generic controls often fall short against AI’s unique vulnerabilities. Dionach’s Secure AI Architecture & Design services provide a foundational layer of security for your AI initiatives, ensuring that protection is built in, not merely bolted on.
We collaborate closely to understand your unique business objectives and existing systems, applying our specialised insights to review and design robust AI architectures, embedding comprehensive security controls throughout the entire AI lifecycle. Informed by leading global standards such as the NIST AI Risk Management Framework and ISO/IEC 42001, our tailored strategies ensure security is a core enabler from day one. Through this proactive engagement, we become a trusted advisor, significantly reducing your attack surface and safeguarding your investments for confident and continuous AI innovation.
What we do:
Each engagement is uniquely tailored, but drawing on our extensive capabilities, you can typically expect outputs such as:
- AI-Specific Threat Modelling: Comprehensive identification and analysis of unique threat vectors and attack surfaces inherent in your AI architecture and design.
- Secure Design Patterns: Guidance on designing and implementing robust, AI-specific security architectural patterns that embed resilience, data integrity, and threat mitigation from design, covering aspects like secure data pipelines and trusted model deployment.
- Access Control & Isolation: Expert advice on establishing granular access controls and effective isolation mechanisms for AI models, data, and infrastructure components.
- Secure AI Development Lifecycle (AI-SDLC) Integration: Support in embedding security best practices and checkpoints throughout your AI development, testing, and deployment phases.
While robust security testing is paramount for any technology, Artificial Intelligence systems introduce unique attack surfaces and complex vulnerabilities that demand specialised approaches. AI models and their underlying infrastructure are susceptible to novel threats such as adversarial attacks, model inversion, data poisoning, and intellectual property theft. Without specialised knowledge tailored to these AI-specific risks, subtle yet devastating vulnerabilities can remain hidden, directly impacting operational integrity and trust.
At Dionach, our AI Penetration Testing services are designed to proactively identify weaknesses specific to your AI models and their supporting environments. Our team, comprised of ethical hackers with advanced AI insights, conducts specialist penetration tests that go far beyond automated scanning, leveraging bespoke methodologies and advanced manual techniques. This includes adversarial AI attack simulations, comprehensive assessments for common AI vulnerabilities, and scrutiny of underlying infrastructure, drawing upon recognised frameworks like the OWASP Top 10 for LLMs/AI Systems. Engaging our services provides unparalleled insight into your AI’s resilience, enabling you to fortify defences, strengthen model robustness, and protect your intellectual property, data, and reputation.
What we do:
Each engagement is uniquely tailored, but drawing on our extensive capabilities, you can typically expect outputs such as:
- Common & Advanced AI Vulnerability Discovery: Comprehensive identification of a broad spectrum of weaknesses within AI models and applications, including susceptibility to common flaws (e.g., OWASP Top 10 for LLMs/AI Systems), alongside advanced adversarial attacks like data poisoning, model inversion, and extraction.
- Adversarial AI Attack Simulations: Specialist testing to identify how AI models can be manipulated or bypassed through adversarial inputs and techniques.
- AI Infrastructure & Data Pipeline Testing: Comprehensive assessment of the security posture of the underlying infrastructure, data storage, and data processing pipelines supporting your AI.
- Security Operations & Monitoring Enhancement: Collaborative engagement (including red/purple teaming) with your SOC/NOC providers to help develop, test, and mature their AI threat detection and monitoring effectiveness.
- Actionable Remediation Insights: Clear, prioritised recommendations for mitigating identified AI-specific vulnerabilities, enhancing your overall AI security posture.
- Enhanced AI Resilience Understanding: Gaining a clear understanding of your AI systems’ current resilience posture, providing the knowledge to effectively withstand sophisticated cyber threats and targeted attacks.
Even with robust preventative measures, security incidents remain a persistent threat in the complex AI landscape. AI-specific incidents can extend beyond typical data breaches to include model misuse, adversarial attacks, or ethical breaches, demanding a highly specialised and rapid response. A poorly handled incident can amplify technical failures into significant business and reputational crises.
At Dionach, our AI Incident & Breach Response Strategy services prepare your organisation to react swiftly and effectively to any AI-related security event. Leveraging our extensive cybersecurity incident response experience, we help you develop bespoke policies, comprehensive response plans, and detailed playbooks tailored to AI breach scenarios. When a suspected breach occurs, Dionach acts as ‘the cavalry,’ providing rapid, on-demand assistance to help you understand, contain, and recover from complex AI security incidents, including formal forensic investigations where required. Proactively developing this strategy significantly reduces impact, accelerates recovery, and protects your reputation and intellectual property, even when faced with adversity.
What we do:
Each engagement is uniquely tailored, but drawing on our extensive capabilities, you can typically expect outputs such as:
- AI-Specific Incident Response Planning: Development of tailored plans and playbooks for handling a range of AI-related security incidents, beyond generic cyber threats.
- Staff Training & Tabletop Exercises: Conducting specialised training and simulated exercises to prepare your teams for effective AI incident response.
- Breach Containment & Eradication: Strategies and guidance for effectively containing and eradicating AI-specific breaches, including model compromise and data manipulation.
- Forensic Readiness for AI: Advice on preparing your systems and processes for effective forensic analysis of AI incidents to determine root cause and impact.
- Communication Protocols: Establishment of clear and robust communication plans for internal and external stakeholders during AI security incidents.
- Rapid Recovery & Continuity: Guidance on strategies for swift recovery of AI systems and data, ensuring operational resilience and business continuity post-incident.
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