Accelerated Innovation

Ensuring You Have the Emerging Secure AI Threats Team Training Capabilities to Win

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Ensuring You Have the Emerging Secure AI Threats Team Training Capabilities to Win

Description

Emerging Secure AI Threats Team Training equips your teams to recognize, respond to, and proactively defend against novel GenAI security threats. This capability focuses on developing and delivering dynamic, role-specific training that evolves with the rapidly changing AI threat landscape.

Why it's Important

As GenAI systems become more integral to enterprise workflows, the risks associated with misuse, manipulation, and novel attack vectors grow more complex. Traditional security training often fails to cover the unique threats posed by GenAI-such as prompt injection, model inversion, and hallucination exploitation. Without targeted training, teams may be unprepared to detect or respond to these risks in real time. By cultivating awareness and preparedness, organizations can significantly reduce security exposure, accelerate safe GenAI deployment, and build a culture of proactive threat mitigation.

Why it's Challenging @ Scale

  • Threat landscape evolves faster than training can keep up: New GenAI attack vectors and vulnerabilities emerge regularly, outpacing static training programs.
  • Inconsistent knowledge across roles and functions: Security awareness and readiness vary widely between teams, creating uneven coverage.
  • Limited access to up-to-date threat scenarios: Teams may lack exposure to the latest adversarial tactics, tools, and mitigation strategies.
  • Difficulty operationalizing learnings into workflows: Even when training exists, integrating those insights into day-to-day GenAI development and monitoring remains challenging.
  • Resource constraints slow down training rollout: Developing, updating, and scaling GenAI-specific training content can be time- and resource-intensive.

Complexity

High: Maturing this capability requires continuous threat monitoring, tailored enablement across diverse roles, and integration into both security operations and product development workflows.

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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.

  • 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 Secure AI Threats 101 pilot training: Equip a cross-functional pilot team with foundational knowledge on current and emerging GenAI threats.
  • Stand up an internal GenAI threat update channel: Distribute regular summaries of evolving attack patterns, tooling changes, and best practices.
  • Integrate threat topics into existing security touchpoints: Embed GenAI-specific scenarios into tabletop exercises, incident simulations, or brown-bag sessions.
  • 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 depth, relevance, and accuracy of your current GenAI threat training content.
  • Define in-scope Processes and Guardrails: Identify where GenAI threat readiness should be embedded across security and product workflows.
  • Close any Data or Measurement Gaps: Establish feedback loops to assess training effectiveness and track secure behavior over time.
  • 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 GenAI threat training in waves, starting with high-risk teams and expanding coverage.
  • Build Awareness and Finalize Enablers: Ensure leadership support, internal comms, and self-serve access to training platforms are in place.
  • Operationalize Your Comms Plan: Launch messaging that clearly connects secure GenAI behavior to business resilience and innovation goals.
  • Formalize Your Best Practices: Document and standardize what’s working to ensure consistent, scalable success across teams and use cases.
  • Publish a centralized Secure AI threat training catalog: Maintain an up-to-date repository of materials aligned to the latest risks and scenarios.
  • Create reusable enablement templates: Build standard slide decks, assessments, and simulations that teams can easily adapt.
  • Embed training into onboarding and workflow tools: Deliver relevant content automatically during developer onboarding or model lifecycle reviews.
  • Accelerate Your Adoption: Intensify efforts to embed GenAI across your organization by expanding use cases, increasing user engagement, and removing adoption barriers.
  • Mandate threat training in key roles and workflows: Ensure critical product, engineering, and security functions complete baseline enablement.
  • Host cross-functional threat exercises: Simulate GenAI security scenarios with real-world tooling and consequences.
  • Offer modular, just-in-time training experiences: Provide lightweight, role-specific content delivered at the point of need.
  • Celebrate Your Wins: Publicly acknowledge team accomplishments to build and sustain adoption momentum.
  • Recognize teams leading in threat preparedness: Highlight groups that adopt and extend training programs effectively.
  • Publish impact stories of “threats avoided”: Share examples where training helped detect or prevent issues early.
  • Offer GenAI security certification badges: Use recognition to boost internal credibility and encourage learning.
  • Streamline & Embed: Integrate GenAI into core workflows while eliminating friction points to make usage seamless and routine.
  • Embed threat training into continuous learning platforms: Deliver micro-lessons, nudges, or updates through tools already used by teams.
  • Make secure GenAI training audit-ready: Ensure evidence of completion and comprehension is easily trackable and reportable.
  • Incorporate threat readiness into agile rituals: Include GenAI threat updates in standups, sprint planning, or retrospectives.
  • Leverage Automation: Use GenAI-powered tools and workflows to streamline repetitive tasks, enhance operational efficiency, and reduce manual effort.
  • Use AI to flag and route new threat intel: Automatically detect and distribute updates on emerging GenAI vulnerabilities.
  • Tailor training recommendations dynamically: Deliver content suggestions based on role, past incidents, or risk exposure.
  • Automate compliance with security training SLAs: Track deadlines, send reminders, and escalate overdue assignments without manual intervention.
  • Evolve & Further Accelerate: Continuously refine GenAI strategies based on insights and outcomes, while expanding into more complex or high-impact use cases.
  • Update training strategy based on threat patterns: Use red teaming, incidents, or audits to inform what gets taught next.
  • Expand content to cover emerging domains: Include AI agents, multimodal models, or cross-border GenAI threats.
  • Benchmark readiness across business units: Compare enablement progress and surface undertrained risk areas.

Key "Watchouts"

  • Relying on generic cybersecurity training: Traditional programs often overlook GenAI-specific threats like prompt injection or model behavior abuse.
  • Treating training as a one-time event: Without continuous updates, your content will quickly become obsolete.
  • Failing to customize by role and context: Generic content leads to disengagement and poor applicability.
  • Neglecting to measure impact and effectiveness: Without feedback or tracking, it’s hard to know what’s working.
  • Waiting for incidents to trigger training: Proactive training builds resilience-reactive training closes the barn door after the horse has bolted.

Targeted Benefits

  • Reduced exposure to emerging threats: Teams are better prepared to identify and respond to novel GenAI vulnerabilities.
  • Faster detection and response times: Real-time familiarity with threat scenarios leads to quicker mitigation.
  • Improved developer and product team readiness: Targeted enablement boosts confidence and capability across the stack.
  • Greater resilience during security reviews: Consistent training enables faster audit responses and higher trust.
  • Competitive advantage through preparedness: Being known for secure-by-design GenAI capabilities builds long-term credibility.

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Eddie
Accelerated Innovation

Hi, I'm Eddie 👋

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