AI security assessment Services
Independent Security Testing for Your AI Deplyoments
Skylight Cyber’s AI security assessment service provides independent, real-world security testing for your AI and machine learning deployments, enabling you to securely harness the power of AI. Beyond adversarial testing, we deliver a comprehensive risk assessment, evaluating your AI systems from both technical and organisational perspectives. Our team helps you identify vulnerabilities, assess governance and compliance, and develop a practical roadmap for secure AI development and deployment, so you can innovate with confidence.
AI Security Assessment Outcomes
Understand AI Security Risk
Gain a clear, evidence-based snapshot of your organisation’s exposure to AI-specific threats, including adversarial attacks, model manipulation, data leakage, and system misuse
Expose AI Weaknesses
Pinpoint weaknesses in your AI and machine learning models, data pipelines, and integrations. Receive prioritised, actionable guidance to address gaps that traditional security reviews may overlook
Enable Secure AI Deployment
Gain the assurance and practical guidance needed to safely launch and operate AI applications within your organisation
Blueprint for AI Security
Receive a forward-looking tailored set of best practices, controls, and recommendations to guide the secure development, deployment, and management of your AI applications
Key Services
LLM & Generative AI Security Testing
Assess the resilience of large language models, chatbots, and generative AI applications against prompt injection, data leakage, and misuse.
Best for
Teams building or integrating LLMs, chatbots, or generative AI tools.
Best When
Prior to releasing AI-enabled products, or when integrating generative AI into sensitive workflows.
Adversarial AI Red Teaming
Simulate real-world attacks against your AI and machine learning systems to uncover vulnerabilities before threat actors do.
Best for
Organisations adopting or scaling AI/ML across business units.
Best When
Reviewing AI governance, preparing for audits, or responding to evolving regulatory requirements.
AI Security Risk Assessments
Comprehensively evaluate your AI/ML environment, identifying risks in model design, data pipelines, third-party integrations, and operational processes.
Best for
Organisations adopting or scaling AI/ML across business units.
Best When
Reviewing AI governance, preparing for audits, or responding to evolving regulatory requirements.
Secure AI Development Advisory
Receive expert guidance on embedding security and privacy into your AI development lifecycle, including model hardening, access control, and governance.
Best for
Organisations developing AI/ML solutions in-house or with external partners
Best When
At project inception, during design reviews, or when implementing new AI features.
Methodology
01
Scoping
Engage with key stakeholders to define AI assets, business objectives, and risk priorities, ensuring a tailored and relevant assessment.
02
Governance Review
Evaluate existing policies, compliance measures, and risk management processes for AI and machine learning systems, identifying key gaps and areas for uplift
03
Technical Assessment
Conduct adversarial testing and vulnerability analysis of AI models, data pipelines, and integrations, simulating real-world attack techniques and uncovering AI-specific risks
04
Secure Design Review
Assess the architecture and development lifecycle of your AI solutions, providing practical recommendations for secure design, deployment, and ongoing management
05
Reporting & Roadmap
Deliver clear, prioritised findings with actionable remediation guidance and a tailored blueprint to support secure, resilient AI adoption across your organisation.
Our AI Security Experts
We have pioneered some of the earliest work on adversarial machine learning showcased in MITRE's ATLAS matrix
Shahar Zini
Shahar Zini previously served as CTO of an elite cyber technology department in the Israeli government. He had a significant role in leading the development and enhancement of the department's technological capabilities, while mentoring the new generation of cyber security professionals. Shahar won the Israeli Defence Award at the age of 25.
In addition, Shahar served as Chief Architect at XM Cyber, a pioneer in Breach and Attack Simulation technologies, where his work received numerous awards and patents.
Shahar commonly shares his passion about cyber security with his peers through CTF events he builds, and participation in leading conferences, including RSA.
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Alex Hill
Alex is an offensive security specialist with a wide range of domestic and international experience. He previously led PwC’s Sydney-based cyber security team as a team lead, mentor, and technical cyber specialist. He personally designed and executed hundreds of bespoke offensive technical assessments and cyber uplifts for some of Australia’s biggest brands.
He prides himself on being able to not only break IT systems though – he also does the hands on building and fixing. Alex has been a go-to cyber specialist for Sydney’s fintech/ startup scene as a security architect – building mature, zero-trust corporate and cloud-only product environments.
He has personally operated live incident response teams for public companies performing the hands-on attack investigation, timelining, and remediation. And he filled in as a virtual CISO for one of Australia’s mid-tier banks for a little over a year.
Over the last few years Alex has continued to focus on the offensive red team space where he excels at getting the most out of exercises by engaging closely with blue teams. As someone with experience breaking, building, and investigating, Alex is the ideal person to provide technical training to upskill defenders and help them get the most out of their tools.
Alex holds a Bachelor of Information Technology (Co-op) from the University of Technology Sydney and a list of cyber-specific testing and architecture certifications.
Chris Archimandritis
With well over a decade of cybersecurity experience, and almost twenty years of experience in different aspects of IT, Chris has led complex security assessments across every industry, spanning three continents. His experience includes both planning and executing sensitive engagements that encompass, among others, critical infrastructure, industrial and residential hardware, core financial and banking systems, purpose-built devices, and cutting-edge smart deployments.
During this time, Chris has also delivered trainings, workshops, and talks for conferences across the world and the APAC region, such as DefCon and AusCERT.
His previous experience as part of academic research groups has provided the tools to tackle any novel problem and assist organisations with cutting edge solutions and platforms.
Having performed engagements on all levels of abstraction, he not only able to both work on the tools as well as analyse and evaluate high level design, but most importantly is able to bridge the gap of management and engineers to provide the best possible strategy to enhance an organisation’s security posture.
His most recent research interests revolve around hardware security, industrial IoT, smart devices and enterprise data platforms.
Chris holds a Bachelor of Computer Science and a master’s degree in Information Systems and has attended several trainings by some of the world's foremost security experts.
Peter Szot
Peter is a senior penetration tester at Skylight Cyber specialising in Red Team and advanced persistent threat simulations. He has conducted several highly successful Red Team engagements against both locally and internationally situated clients with varying levels of security maturity, whilst achieving stealthy compromise of critical assets.
Constantly striving to improve methodologies, Peter regularly researches new vulnerabilities, and pushes the boundaries of existing technology stacks to circumvent protective measures and help security teams harden systems against modern threats.
Peter previously worked at several cybersecurity consulting companies, working on a vast range of products, from bespoke applications to critical telecommunication hardware.
As such, he has accumulated extensive experience in penetration testing and security assessments across several programming languages and development frameworks.
Peter graduated with Honours (first class) from the University of Sydney and holds a Bachelor of Information Technology.
FAQs
An AI security assessment is an evaluation of your organisation’s security readiness to safely leverage artificial intelligence. This service combines AI security testing, AI risk assessment, and governance review to identify vulnerabilities, threats, and other gaps, helping you protect your AI deployments from real-world cyber attacks and emerging risks.
An AI security assessment is recommended when deploying new AI or machine learning models, integrating AI into critical business systems, after significant changes to your AI environment, or to satisfy AI compliance, risk management, and regulatory requirements
You receive a detailed AI security assessment report, including an executive summary, technical findings, a list of AI vulnerabilities and risks, and an actionable roadmap for remediation and secure AI deployment. We also provide tailored recommendations to improve AI governance and compliance
Yes. Alongside our AI security assessment, we offer advisory services to help you implement security controls, address vulnerabilities, strengthen AI governance, and ensure ongoing compliance for your AI and machine learning initiatives.
Unlike standard penetration testing or red teaming, an AI security assessment focuses specifically on security risks unique to AI and machine learning. This includes testing for adversarial attacks, prompt injection, model evasion, data poisoning, and data leakage, as well as assessing AI governance, risk management, and secure development practices
We assess a wide range of AI and ML technologies, including large language models (LLMs), generative AI, chatbots, computer vision systems, recommendation engines, and custom AI solutions. The assessment also covers data pipelines, third-party AI integrations, and AI APIs.
Our AI vulnerability assessments and AI penetration testing are conducted in a controlled, non-disruptive manner. All testing is coordinated with your team to maintain operational safety and avoid impacting production systems.
An AI security assessment helps your organisation meet regulatory and industry requirements by identifying and addressing security, privacy, and governance gaps specific to artificial intelligence and machine learning. The assessment provides clear documentation, recommendations, and a compliance roadmap aligned with relevant standards, supporting your response to audits and helping demonstrate due diligence in managing AI-related risks.