AI-driven systems introduce new attack surfaces, compliance risks, and operational challenges. Our AI Security Services help organizations identify, assess, and mitigate threats to ensure their AI solutions remain secure, compliant, and resilient.
AI introduces new risk - from biased decisions to security vulnerabilities. Our AI Safety & Risk Analysis helps businesses identify potential failures, assess compliance risks, and implement safeguards to keep AI systems safe, reliable, and accountable.
AI systems can be manipulated, evaded, or exploited—just like traditional software. AI Penetration Testing simulates real-world attacks to uncover vulnerabilities in AI models and data pipelines before bad actors do.
Our testing identifies risks such as:
Prompt Injection
Tricking AI into revealing sensitive data or making harmful decisions.
Model Evasion
Bypassing AI safeguards to allow malicious activity.
Data Poisoning
Corrupting AI training data to introduce bias or misinformation.
Model Extraction
Stealing proprietary AI models through repeated interactions.
AI introduces new risk - from biased decisions to security vulnerabilities. Our AI Safety & Risk Analysis helps businesses identify potential failures, assess compliance risks, and implement safeguards to keep AI systems safe, reliable, and accountable.
With a structured risk assessment approach, we help organizations anticipate failures, strengthen AI governance, and build trustworthy AI solutions.
We evaluate:
Bias & Fairness Risks
Prevent AI from making unfair or discriminatory decisions.
Security Vulnerabilities
Identify weaknesses that could be exploited.
Operational Risks
Ensure AI-driven decisions are accurate, explainable, and safe for users.
Hazard Analysis
Identify systemic failures, unintended AI behaviors, and security risks using structured safety and security engineering methods.
AI incidents pose unique challenges, from adversarial attacks to compliance failures. Our AI Incident Response service helps organizations proactively prepare for AI-specific threats by facilitating tabletop exercises (TTX) and developing tailored AI incident response plans.
We provide:
AI Tabletop Exercises
Simulate real-world AI security incidents to test and improve response strategies.
Incident Response Plan Development
Build structured, AI-specific playbooks aligned with industry best practices.
Risk & Threat Scenario Testing
Identify gaps in AI security readiness through structured attack and failure scenarios.
Continuous Improvement Strategies
Refine response strategies through iterative testing and lessons learned.
We help organizations reduce uncertainty, improve coordination, and strengthen AI security resilience.
Be ready before AI incidents happen—let’s build your response plan today.
Why is AI security important?
AI systems can be tricked, misused, or hacked, leading to bad decisions, data leaks, or compliance violations. Securing AI ensures that it works correctly, safely, and within regulations.
What is AI penetration testing?
It’s like a stress test for AI—experts try to break or manipulate the AI system before real attackers do. This helps businesses find and fix weaknesses before they cause harm.
How is AI security different from regular cybersecurity?
Cybersecurity protects networks, computers, and data from hackers. AI security goes further by making sure AI models don’t get tricked into making bad decisions or leaking sensitive information.
Are there laws or rules about AI security?
Yes. Governments and industries are creating AI safety and fairness regulations, like the EU AI Act and NIST AI guidelines, to prevent harm and bias in AI systems. Non-compliance can lead to fines, lawsuits, and reputational damage.
How can my business protect its AI?
Start by assessing AI risks, testing for weaknesses, and training employees on AI security best practices. Our AI Security Services provide expert support to keep your AI safe, reliable, and compliant.