Adversarial Prompt & Policy Attack Forensics Workshop

Adversarial Prompt & Policy Attack Forensics Workshop by Tonex

Sophisticated adversaries now craft jailbreaks, prompt injections, and policy bypasses that leave faint traces yet cause outsized harm. This workshop equips teams to investigate those covert manipulations across the model, middleware, and application layers. You will learn to classify attacks, reconstruct prompt trails, and attribute intent with disciplined, evidence-driven techniques. Impact on cybersecurity is direct and material—rigorous prompt forensics reduces incident dwell time, hardens model interfaces, and turns chaotic logs into actionable proof. By uniting DFIR methods with LLM-aware analytics, organizations improve response quality, compliance posture, and trust in AI-enabled workflows.

Learning Objectives

• Differentiate jailbreaks, injections, and policy bypass techniques with a usable taxonomy
• Trace attacker actions through prompt chains, tools, and function calls
• Apply DFIR processes to LLM incidents from triage to reporting
• Quantify business and regulatory impact of policy violations with repeatable methods
• Build resilient guardrails, traps, and canaries to deter reinfection
• Strengthen cybersecurity by operationalizing prompt forensics in daily incident response

Audience

• Cybersecurity Professionals
• Incident Responders and DFIR Analysts
• AI/ML Engineers and MLOps Teams
• Security Architects and Blue Team Leads
• Risk, Compliance, and Governance Officers
• Product Owners of AI-enabled Applications

Course Modules

Module 1 – Prompt Attack Taxonomy

• Jailbreak families and evolution patterns
• Prompt injection vectors and carriers
• Policy evasion and content laundering
• Social engineering in model context windows
• Toolformer and function-call abuse modes
• Red flags, indicators, and naming standards

Module 2 – DFIR for Prompts

• Scoping LLM incidents and case setup
• Evidence sources across app and platform
• Chain-of-custody for prompt artifacts
• Timeline building from chat and tool logs
• Triage, containment, and eradication steps
• Post-incident reviews and learnings capture

Module 3 – Policy Violation Analysis

• Mapping outputs to policy controls
• Harm categories and severity scoring
• Business, legal, and privacy exposure
• Root cause vs contributing factor separation
• Metrics, KPIs, and risk heatmaps
• Executive-ready narrative and findings

Module 4 – Evidence Reconstruction

• Reassembling prompt trails and branches
• Reproducing attacks without contamination
• Attribution signals and intent inference
• Cross-correlating telemetry and events
• Preserving context window state snapshots
• Reporting evidence with defensible rigor

Module 5 – Defense Hardening Playbooks

• Guardrails, constraints, and policy engines
• Prompt hygiene and templating standards
• Input validation and context isolation
• Tooling sandboxes and permission scoping
• Canary prompts and decoy artifacts
• Continuous validation and regression tests

Module 6 – Governance and Reporting

• Roles, RACI, and escalation pathways
• Documentation and audit-ready records
• Vendor, API, and model accountability
• Training, drills, and tabletop routines
• Communication plans for stakeholders
• Roadmapping improvements and SLAs

Ready to build confident, repeatable prompt forensics and close the gaps attackers exploit Join Tonex for the Adversarial Prompt & Policy Attack Forensics Workshop and equip your team to detect, investigate, and defeat LLM-era threats with clarity and speed.