Introducing AI Risk Assessments: Securing the Future of Innovation
At Framework Security, we're constantly evolving to meet the security demands of tomorrow. As organizations across industries adopt artificial intelligence (AI) to drive innovation, improve decision-making, and automate operations, a new class of risks has emerged—risks that traditional security assessments are not designed to detect or address.
That’s why we’re proud to introduce our AI Risk Assessment service—a specialized offering tailored to help organizations understand, manage, and mitigate the unique risks associated with AI and machine learning systems.
Why AI Risk Requires a New Approach
Artificial intelligence opens the door to a new frontier of opportunity—but also new vulnerabilities:
- Data poisoning and model manipulation
- Bias in training data leading to unfair or unethical outcomes
- Black-box algorithms that obscure how decisions are made
- Model drift and degradation over time
- Third-party AI integrations with unknown security postures
- Regulatory gaps in AI-specific compliance and governance
Most traditional risk assessments don’t fully account for these vectors. As a result, organizations are unknowingly exposed to threats that could impact data integrity, decision accuracy, customer trust, and compliance readiness.
What Is an AI Risk Assessment?
Framework Security’s AI Risk Assessment is a structured evaluation of your AI systems—from model design to deployment—focused on identifying and mitigating risks across three core dimensions:
1. AI Security
We evaluate potential vulnerabilities in your AI systems, including model exposure, API security, training data integrity, and inference risk.
2. AI Ethics & Bias
We assess risks related to algorithmic bias, discriminatory outcomes, and the ethical use of data, offering mitigation strategies to promote fairness and transparency.
3. AI Governance & Compliance
We examine how your AI workflows align with emerging regulations (like the EU AI Act or NIST AI RMF), ensuring readiness for future audits and legal scrutiny.
Who Needs an AI Risk Assessment?
If your organization is deploying or integrating AI/ML tools in any of the following areas, an AI Risk Assessment can offer immediate value:
- Customer-facing decision systems (e.g., lending, hiring, insurance)
- Predictive analytics in healthcare, finance, or logistics
- Generative AI tools like chatbots, content engines, or code assistants
- Proprietary AI models used for automation or strategic forecasting
- Third-party AI integrations within your SaaS stack or cloud services
How Framework Security Helps
With over 70 years of combined cybersecurity and compliance experience, the Framework Security team brings deep technical insight and real-world risk expertise to every engagement.
Our AI Risk Assessments include:
- A tailored threat model for your AI assets
- Vulnerability analysis of data pipelines and model endpoints
- Bias and fairness evaluations
- Governance framework mapping (e.g., NIST AI RMF, ISO/IEC 42001)
- Actionable, prioritized recommendations for mitigation and improvement
- Executive and technical readouts to ensure clarity across teams
Future-Proof Your Innovation
AI is transforming industries—and so are the risks that come with it. A proactive approach to AI risk isn't just about security; it’s about building trust, ensuring accountability, and future-proofing your business.
At Framework Security, we believe in helping organizations adopt AI with confidence.
Ready to assess your AI risk?
Let’s talk. Contact us to schedule a consultation or learn more about our AI Risk Assessment services.
To learn more about our AI Risk Assessment Service, please follow the link- https://www.frameworksec.com/services/ai-risk-assessment
