AI Security Crisis: Jailbreaks, Prompt Injection & How to Protect Your Agents
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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 security failures
• OpenClaw risks and credential takeover paths
• Why LLM security is structurally hard
• Why guardrails alone don’t work
• The OWASP #1 LLM threat in 2025
• 3 practical remedies: Architecture, Red Teaming, AI SecOps
• How to attack your own AI agent using Azure + Pirate
• How to run real red team simulations
This session is essential for:
• AI Product Managers
• Agent builders
• Security engineers
• Startup founders
• Anyone shipping AI into production
Security is not a feature you bolt on later.
If you’re building AI agents without red teaming them, you’re gambling with trust.
00:00 – 2026: The year of agentic AI… but trust is breaking
03:20 – Why AI security failures are costing real money
06:10 – 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
01:04:00 – Reviewing atta
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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
🎓
Tutor Explanation
DeepCamp AI