stay ahead of the threat
AI/ML Security Assessments
Whether you're harnessing AI for data analysis, using LLMs and machine learning for predictive insights, or exploring other applications of this rapidly evolving technology, Bishop Fox helps fortify your defenses from the start.
Less Risk. More Reward.
Take the guesswork out of AI/ML security.
As the use of artificial intelligence (AI) and machine learning (ML) expands, the urgency to protect the data, models, and infrastructure supporting these technologies intensifies. Business demands that you move fast, but you must be confident that critical vulnerabilities are not overlooked.
At Bishop Fox, we leverage decades of offensive security expertise, proven methodologies, and cutting-edge research to safeguard complex AI/ML ecosystems against sophisticated threats before adversaries can strike.
Our comprehensive services are tailored to the needs of your business, application, and systems to help your organization at any stage of its AI journey. Whether you need an assessment of your architecture, are ready for infrastructure and app testing, or want to stress-test your live environment with adversary emulation, Bishop Fox helps strengthen your security every step of the way.
Uncover Dangerous Blind Spots Before Attackers Do
We put your AI/ML projects to the test.
Architecture Security Assessment
Reviews overall AI/ML system design, components, trust boundaries, and development practices to illuminate critical flaws and identify systemic improvements to harden defenses.
Threat Modeling
Establishes a strong foundation for sustainable, secure AI/ML application development, deconstructing each stage of your design process and identifying cross-over into pre-defined trust boundaries.
Application Penetration Testing
Discovers and exploits critical vulnerabilities and logic flaw issues in your live AI/ML web apps and API integrations using expert-driven and automated testing that simulates real-world attacks.
Secure Code Review
Combines cutting-edge automation with meticulous manual review of the source code to identify traditional software engineering flaws that might surround LLM integration, putting the application at risk.
Cloud Penetration Testing
Forties for your AI/ML infrastructure by identifying cloud-specific vulnerabilities and susceptible privilege escalation paths that commonly lead to the compromise of AWS, GCP, and Microsoft Azure services.
Red Teaming
Puts your defenses to the ultimate test with carefully crafted attacks leveraging the same tactics used by sophisticated adversaries to compromise your AI/ML systems.
Tabletop Exercises
Improves your incident response plans and processes by immersing your stakeholders in hyper-realistic threat scenarios targeting your AI/ML systems.
Purple Teaming
Strengthens your security posture by collaborating with our world-class Red Team to sharpen your Blue Team's response to threats across your AI/ML ecosystem.
Related Resources
Check out these resources to help you on your AI/ML journey.
Pragmatic AI & LLM Security Mitigations for Enterprises
Immerse yourself in the vibrant world of AI and Language Learning Models (LLMs) in our webinar presented in collaboration with industry leaders from Moveworks.
An Interview with Chloe Messdaghi, Head of Threat Research at Protect AI - DEF CON 31
In this session, hear from Chloé Messdaghi, an accomplished security executive with a proven track record of advising and developing solutions.
Apr 01, 2024
Practical Measures for AI and LLM Security: Securing the Future for Enterprises
By Bishop Fox
DISCOVER AN AWARD-WINNING DIFFERENCE
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We'd love to chat about your offensive security needs. We can help you determine the best solutions for your organization and accelerate your journey to defending forward.