Accelerated Innovation

Ensuring You Have the Pen Testing Capabilities to Win

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Ensuring You Have the Pen Testing Capabilities to Win

Description

Pen Testing Capabilities ensure that GenAI systems are proactively tested for vulnerabilities through simulated attacks. This capability enables organizations to uncover security gaps that could otherwise go undetected in traditional reviews or static assessments.

Why it's Important

As GenAI solutions grow in complexity, the potential for novel security vulnerabilities expands. Standard security measures often fail to detect the dynamic, context-driven weaknesses unique to GenAI systems-such as jailbreaks, adversarial prompts, or data leakage through model behavior. Penetration testing allows organizations to simulate real-world attacks against their GenAI environments to uncover flaws before malicious actors do. It helps verify the effectiveness of controls, identify system-level blind spots, and prioritize risk remediation. Without strong Pen Testing Capabilities, organizations may face critical exposures that compromise user trust, data privacy, or compliance.

Why it's Challenging @ Scale

  • Rapidly evolving GenAI threat landscape: New types of vulnerabilities emerge frequently, requiring ongoing updates to testing methods and attack simulations.
  • Lack of GenAI-specific testing frameworks: Traditional pen testing tools often lack the functionality to simulate GenAI-specific risks such as prompt injection or model misuse.
  • Limited access to production-like environments: Testing in isolated environments may not accurately reflect real-world GenAI behavior or vulnerabilities.
  • Insufficient cross-functional coordination: Effective pen testing requires collaboration across security, engineering, legal, and product teams-yet these groups are often misaligned.
  • Difficulty operationalizing test results: Findings from pen tests may not be clearly prioritized, owned, or actioned-leading to repeated issues or unresolved gaps.

Complexity

High: Maturing Pen Testing Capabilities for GenAI demands advanced threat knowledge, custom testing techniques, integrated DevSecOps practices, and strong cross-team coordination.

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Taking Action

Though most organizations begin their GenAI journey with significant knowledge gaps, there are targeted actions that can be taken to accelerate the process. Select your group’s current maturity, based on your assessment results, and act today.

The most important part of any journey is starting… To move from “Exploring” to “Experimenting”, focus on the following key actions:
  • Explore Key Concepts & Best Practices: Complete the Secure AI Best Practices workshop (2 hrs.) to understand foundational key concepts and explore applied best practices.
  • Introducing Secure AI Design Principles.
  • Framing Security in AI Lifecycle Context.
  • Mapping Threat Surfaces in GenAI Systems.
  • Identifying Roles and Responsibilities in Secure AI.
  • Linking Security to AI Governance Goals.
  • Define Your Action Plan: Outline concrete, prioritized steps your organization will take to implement GenAI Strategy.
  • Align on your Current State and define your Target State.
  • Create an actionable enablement plan.
  • Define target timeline and measures of success.
  • Deliver Quick Wins: Small, high-impact GenAI projects that can demonstrate tangible value in a short time frame.
  • Launch a targeted GenAI pen test pilot: Select a high-priority GenAI application to test using simulated attack scenarios.
  • Create a GenAI pen testing checklist: Build a lightweight framework aligned to emerging GenAI threats such as prompt injection and jailbreak attempts.
  • Define roles for GenAI pen testing ownership: Identify who leads, supports, and remediates findings within your current teams.
To move from Experimentation to “Lifting-Off”, prioritize the following actions:
  • Complete one or more of our Deep Dive Courses: Begin exploring key concepts and best practices, including:
  • Secure AI Governance & Accountability Best Practices.
  • Secure AI Risk Management Best Practices.
  • Secure AI Security Controls Best Practices.
  • Secure AI Prompt Injection Best Practices.
  • Secure AI Sensitive Information Best Practices.
  • Secure AI Supply Chain Risks Best Practices.
  • Secure AI Model Poisoning Best Practices.
  • Secure AI Output Handling Best Practices.
  • Secure AI Excessive Agency Best Practices.
  • Secure AI System Prompt Risks Best Practices.
  • Secure AI Vectorization Risks Best Practices.
  • Secure AI Misinformation Best Practices.
  • Secure AI DDoS Prevention Best Practices.
  • Nail It Before You Scale It: Assess and optimize your solution or process before adopting it at scale.
  • Assess Your Proposed Solution or Process: Evaluate the effectiveness and relevance of your current pen testing methods for GenAI-specific threats.
  • Define in-scope Processes and Guardrails: Specify which GenAI applications, environments, and attack vectors fall within pen testing scope.
  • Close any Data or Measurement Gaps: Ensure test results are consistently documented, tracked, and linked to remediation workflows.
  • Define Your Adoption & Scaling Plan: Create a structured roadmap for how GenAI solutions will be rolled out across teams, workflows, or business units.
  • Define Your Phased Implementation Plan: Roll out pen testing practices across GenAI systems based on usage risk and exposure levels.
  • Build Awareness and Finalize Enablers: Equip teams with tooling, training, and guidance to run or support GenAI pen testing activities.
  • Operationalize Your Comms Plan: Establish clear communication around objectives, ownership, and escalation paths for test results.
To move from Lifting-Off to “Accelerating”, prioritize the following actions:
  • Formalize Your Best Practices: Document and standardize what’s working to ensure consistent, scalable success across teams and use cases.
  • Codify GenAI pen testing procedures: Create standardized test plans, scope templates, and execution protocols tailored for GenAI.
  • Develop reusable attack libraries and tools: Build shared libraries of test cases and adversarial prompts to accelerate future pen tests.
  • Integrate pen testing into development workflows: Embed testing checkpoints into DevOps cycles for GenAI models and applications.
  • Accelerate Your Adoption: Intensify efforts to embed GenAI across your organization by expanding use cases, increasing user engagement, and removing adoption barriers.
  • Expand coverage to all GenAI applications: Ensure pen testing is conducted across both internal tools and external-facing GenAI interfaces.
  • Automate vulnerability scanning tasks: Use tools to identify common GenAI weaknesses such as prompt injection or system prompt exposure.
  • Train distributed teams to self-test securely: Enable engineering and product teams to conduct baseline pen testing aligned to governance standards.
  • Celebrate Your Wins: Publicly acknowledge team accomplishments to build and sustain adoption momentum.
  • Highlight teams that prevent high-risk exposures: Recognize pen testing contributions that led to major risk mitigation.
  • Share success stories in security reviews: Use real-world examples of vulnerabilities uncovered to promote awareness and action.
  • Reward repeatable, scalable testing approaches: Incentivize teams that create and share tools that benefit the broader enterprise.
The “Accelerating” stage represents “Target State” for many capabilities. “Breaking Away”, on the other hand, suggests that the specific Capability represents a clear competitive advantage for your business.
  • Streamline & Embed: Integrate GenAI into core workflows while eliminating friction points to make usage seamless and routine.
  • Embed pen testing into standard release protocols: Make GenAI-specific pen tests a required step in every model or solution deployment.
  • Simplify access to test environments and tooling: Provide teams with easy access to pre-approved tools and safe test environments.
  • Use dashboards to track testing readiness: Enable real-time visibility into which GenAI systems have passed security validation.
  • Leverage Automation: Use GenAI-powered tools and workflows to streamline repetitive tasks, enhance operational efficiency, and reduce manual effort.
  • Automate test generation and risk scoring: Generate synthetic attacks and assign severity rankings automatically.
  • Run continuous pen testing pipelines: Schedule recurring tests across production-like GenAI environments.
  • Detect and flag behavior anomalies in real time: Use AI tools to identify and alert on unexpected or risky model outputs.
  • Evolve & Further Accelerate: Continuously refine GenAI strategies based on insights and outcomes, while expanding into more complex or high-impact use cases.
  • Refresh threat models based on new attack vectors: Stay ahead of the curve by updating pen test frameworks for emerging GenAI risks.
  • Extend coverage to agentic and multimodal GenAI systems: Expand testing beyond text-based models to include voice, vision, and action agents.
  • Benchmark practices against external leaders: Compare your pen testing maturity with peers to uncover areas for innovation.

Key "Watchouts"

As you take action you’ll want to avoid:

  • Treating GenAI like traditional applications: Conventional pen testing approaches may miss dynamic GenAI-specific vulnerabilities.
  • Under-scoping your testing environments: Limiting pen tests to isolated or sanitized environments can create blind spots in real-world risk exposure.
  • Delaying remediation of known issues: Failing to assign ownership or timelines for remediation can lead to repeat vulnerabilities.
  • Relying solely on external testers: Without internal team involvement, key context and ownership of findings may be lost.
  • Neglecting to align with governance frameworks: If pen testing efforts aren’t integrated with broader security governance, results may go unused. 

Targeted Benefits

While Pen Testing Capabilities can be challenging, its benefits are clear and compelling, including:

  • Uncovered vulnerabilities before exploitation: Simulated attacks reveal risks early, allowing for proactive mitigation. 
  • Improved trust in GenAI deployments: Regular testing assures stakeholders that systems are secure and well-managed. 
  • Increased maturity in GenAI security: Pen testing elevates enterprise understanding of complex and evolving threat surfaces. 
  • Faster response to new attack types: Agile testing processes allow organizations to adapt quickly to novel GenAI risks. 
  • Competitive differentiation through security assurance: A tested-and-trusted GenAI environment becomes a market advantage.

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Eddie
Accelerated Innovation

Hi, I'm Eddie 👋

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