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Training SAST - Securing AI Apps Against Advanced Vulnerabilities

Ref: MGK363
10 people max.
5500€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 journées
distanciel

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Learning objectives

  • Master advanced SAST tools for analyzing AI code in certified professional training
  • Develop skills in integrating SAST into DevSecOps pipelines for businesses
  • Design optimized SAST scans using deep learning to detect hidden vulnerabilities
  • Implement automated SAST strategies enhanced by prompt engineering
  • Optimize AI application security through practical exercises in small groups
  • Assess and remediate critical vulnerabilities in enterprise production environments

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Advanced SAST Fundamentals: Tools and Configurations for AI Code (SonarQube, Checkmarx)

Discover the latest versions of professional SAST tools like SonarQube and Checkmarx adapted for AI, configure custom rules to detect data leaks in ML models, perform initial scans on real projects, analyze detailed reports with risk metrics, and produce a first prioritized remediation deliverable, while integrating real business cases of companies affected by AI breaches.

Module 2SAST Integration in CI/CD: Secure Pipelines for AI Apps (Jenkins, GitLab)

Dive into SAST automation via Jenkins and GitLab CI, integrate security gates to block vulnerable merges in AI code, test on simulated deep learning app repositories, measure impact on DevOps velocity, generate custom dashboards, and deploy a complete pipeline as a deliverable, with a focus on reducing false positives using intelligent prompts.

Module 3Advanced SAST Analysis with Deep Learning: AI Anomaly Detection (Semgrep, CodeQL)

Explore Semgrep and CodeQL enhanced by deep learning for semantic queries on complex AI code, train custom models for zero-day vulnerabilities, apply to real datasets of model leaks, visualize toxic dependency graphs, collaborate in pairs to refine analyses, and produce an expert report as a deliverable, illustrating 40% precision gains in business settings.

Module 4Prompt Engineering for Optimized SAST: Secure AI Tuning (Custom GPTs, LangChain)

Master prompt engineering applied to SAST via custom GPTs and LangChain, generate dynamic scans for generative AI code, test prompt chains to prioritize critical risks, integrate automated feedback loops, simulate attacks on AI APIs, measure security ROI, and deliver a reusable prompt framework, demonstrating 3x acceleration in business audits.

Module 5SAST Deployment in Production: AI Monitoring and Remediation (Splunk, ELK Stack)

Finalize with SAST deployment in production via Splunk and ELK for continuous AI code monitoring, configure proactive alerts for vulnerable drifts, conduct real-time remediation war games, evaluate overall SecDevOps maturity, produce a certified action plan for the business, and close with personalized Q&A, ensuring lasting skills post-training.

Evaluation method

  • Advanced technical quizzes on SAST tools and AI cases
  • Final project: complete SAST pipeline on a real AI app
  • Qualiopi certified attestation with deliverables portfolio

Learning method

  • 70% hands-on practice on interactive remote labs
  • Real business case studies of AI breaches
  • Individual mentoring by certified experts
  • Unlimited access to replays and resources for 6 months

Methods, materials and delivery

The Training SAST - Securing AI Apps Against Advanced Vulnerabilities program is delivered onsite or remote (blended-learning, e-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training SAST - Securing AI Apps Against Advanced Vulnerabilities program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training SAST - Securing AI Apps Against Advanced Vulnerabilities program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
Our method

Training quality, guaranteed at every step

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

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