AI Security Crisis: Jailbreaks, Prompt Injection & How to Protect Your Agents
Sign up to get my learning resources: https://forms.gle/sRNjXnsurNxNAUQW7
2026 was predicted to be the year of agentic AI moving into enterprise production.
But there’s one problem:
- AI agents are failing publicly.
- Jailbreaks are succeeding.
- Prompt injection is real.
- Trust is eroding.
In this session, we break down the real AI security crisis and what product managers, founders, and builders must do before shipping agents.
You’ll learn:
• Why jailbreaking is an arms race
• What prompt injection really is (and why it’s dangerous)
• DeepSeek’s 100% jailbreak success case
• Devon AI se…
Watch on YouTube ↗
(saves to browser)
Chapters (16)
2026: The year of agentic AI… but trust is breaking
3:20
Why AI security failures are costing real money
6:10
Jailbreaking explained (DAN attack & DeepSeek case)
11:30
Why performance ≠ security
14:00
Prompt injection explained (and why it’s worse)
18:30
Devon AI security failure case study
23:40
OpenClaw risks and real exploit paths
28:20
Why AI security is structurally hard
33:00
Why probabilistic guardrails fail
37:10
The 3 remedies: Architecture, Red Teaming, AI SecOps
40:00
KEL architecture (Dual LLM separation model)
46:30
Red teaming tools (Microsoft, Nvidia, DeepTeam)
49:30
AI SecOps: Monitoring, lifecycle, governance
54:00
Live demo: Attacking an AI agent using Azure
59:30
How jailbreak prompts bypass guardrails
1:04:00
Reviewing atta
DeepCamp AI