AI Security Risk Assessment

Find your AI system's Risk Score.Security Posture.Critical Vulnerabilities.Remediation Strategy.Implementation Plan.

Evaluating the security risks of an AI system is essential to safeguard operations and make informed decisions. Organizations can better understand their exposure, allocate resources, and build customer & stakeholder trust with one clear, actionable report.

PROMPT INJECTION DATA LEAK AGENT MISUSE MODEL POISONING RISK SCAN · ACTIVE 9 VECTORS 4 FINDINGS · 2 HIGH REPORT · READY
Risk Vectors
9+
AI-specific threat classes scored
Personas
5
Founders, CISOs, VCs, insurers, boards
Cost
Free
Self-serve report in minutes
Output
PDF
Risk score · Vulnerabilities · Plan

One report. One score. A clear, prioritized plan to make your AI system measurably safer.

  1. Overall AI Risk Score

    A comprehensive assessment of potential threats, combining likelihood and impact to evaluate overall risk severity and prioritize mitigation efforts.

  2. Risk Timeline Analysis

    An evaluation of potential risks and their impact on project timelines, assessing the likelihood and duration of delays to inform strategic planning and mitigation efforts.

  3. Vulnerability Analysis

    An in-depth examination of identified vulnerabilities to assess their potential impact and prioritize remediation based on risk severity.

  4. Remediation Strategy

    A plan outlining specific actions to address and resolve identified vulnerabilities or risks, ensuring their root causes are fixed and mitigated effectively.

  5. Risk Optimization Potential

    The ability to strategically manage and balance risks to maximize potential gains while minimizing losses for sustainable growth and success.

  6. Potential Savings

    The financial benefits that can be achieved by implementing effective risk management strategies, such as reducing operational costs, minimizing losses, and optimizing resource allocation.

Use Cases

Built for everyone with AI on the line.

Whether you're shipping AI, funding AI, insuring AI or buying AI the report is structured so the right stakeholder finds the right answer in under a minute.

  • AI Founders & Developers

    This report can provide insights into risk management and help them develop more secure AI products. Early-stage AI companies looking to secure funding or scale their operations would benefit from this report.

  • VC / PE Firms

    Investors funding AI startups may use this report to assess the security risk profile of the companies they are investing in, helping them make informed decisions.

  • AI Insurance Firms

    This report would help evaluate the potential vulnerabilities in AI systems, allowing the insurance firm to accurately evaluate risk exposure, minimize liability, and ensure policyholders maintain secure AI operations.

  • Companies with AI Initiatives

    Large tech companies integrating AI into their products and services, Agentic AI or AI SaaS / Cloud vendors. This report will help mitigate risks associated with AI deployment and ensure compliance with security regulations.

Want a comprehensive report mapping the full attack surface for your use-case and compliance framework?
This assessment provides an in-depth security evaluation of complex, modern AI systems, beyond traditional risk scans. It addresses model security threats (like adversarial manipulation), data handling concerns, and operational safeguards, ensuring your AI ecosystem aligns with cutting-edge security demands.
AI development has accelerated rapidly, but industry standards for assessing AI-specific threats have lagged behind. Many traditional cyber frameworks don't consider unique AI vulnerabilities (e.g., prompt manipulation, malicious training data). The AI Security Risk Assessment fills this gap with tailored evaluations for AI-centric architectures.
• CISOs & Security Teams: AI systems expand the attack surface, demanding specialized risk controls to protect business-critical data and proprietary models. • Product & Engineering Leaders: AI misuse or compromise can undermine user trust, product integrity, and compliance. Early risk mitigation prevents costly failures and reputational damage. • Executives & Boards: AI investments are strategic. Understanding security exposures helps balance innovation with risk-informed governance.
We focus on AI-specific vectors such as adversarial attacks, training data poisoning, and unauthorized model access. We analyze both frequency (how often issues might arise) and severity (financial/operational impact). By quantifying these risks, we highlight high-impact controls (like robust testing frameworks, encryption, or real-time monitoring) that standard IT scans frequently overlook.
AI threat frequency (e.g., likelihood of prompt injection or adversarial payloads) can differ significantly from severity (e.g., major model corruption, large-scale data exposure). Splitting them out makes it easier to identify which defenses best reduce occurrence (like restricting access) vs. limit damage (like encryption and robust auditing).
By highlighting the top AI security risks and linking them to clear remediation steps, you can: • Directly allocate security budgets to the most pressing AI vulnerabilities. • Prioritize engineering tasks (e.g., implementing model monitoring, stronger data governance) that yield measurable risk reduction. • Demonstrate proactive compliance and due diligence to regulators or clients concerned about AI trustworthiness.
While some generic cyber benchmarks exist (like Ponemon or NIST), true AI security benchmarks are still emerging. We combine best-available data from academic research, real incident reports, and security SMEs who specialize in AI. We evolve our metrics as the industry matures.
We match Mirror Security product offerings to the risks revealed in your environment, so you see the potential ROI of each recommended security layer.
The AI Security Risk Assessment isn't static. If you alter your AI pipeline adopting new model architectures, integrating external APIs, or collecting more user data revisit the inputs and re-run the model (or use Mirror DiscoveR). This feedback loop ensures your security posture remains aligned with your evolving AI goals.

Get the report

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Self-serve, free, and built by a team that has been securing nation-state and enterprise systems for two decades. Have it in your inbox in minutes.

Let's talk the next steps. Our founders are available for personalised meetings to discuss Mirror Security, AI protection strategies, and how we can help your business.