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Margin of Safety #38: The Best Enterprise Agents Probably Aren’t Fully Autonomous
Enterprise-ready agentic systems trade autonomy for control: scoped dependencies, human escalation, versioned behavior, and shared agent definitions…
Jan 7
•
Kathryn Shih
and
Jimmy Park
2
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Margin of Safety #37: Asymmetric Impact of AI on Cyber Offense and Defense
Does AI help attackers more or defenders more, and why?
Nov 18, 2025
•
Kathryn Shih
and
Jimmy Park
2
Margin of Safety #36: Quantum and Cryptography
Let's talk about post-quantum security
Nov 12, 2025
•
Kathryn Shih
and
Jimmy Park
3
2
Margin of Safety #35: OpenAI’s agentic security researcher 'Aardvark'
Aardvark gives OpenAI access to real-world, complex code reasoning signals. This helps OpenAI improve future models’ ability to understand, debug, and…
Nov 5, 2025
•
Kathryn Shih
and
Jimmy Park
3
Margin of Safety #34: Looking at China’s AI Playbook
China’s AI strategy is a high-speed experiment in central planning, blending top-down regulation with massive infrastructure and human capital
Oct 29, 2025
•
Jimmy Park
and
Kathryn Shih
1
Margin of Safety #33: Learning is Hard
Current AI models cannot safely "learn" in real-time and until they can, learning is more a liability than a leap forward
Oct 22, 2025
•
Kathryn Shih
and
Jimmy Park
3
2
Margin of Safety #32: Email Security & Awareness Training
Can email security and security awareness training vendors stop phishing turbocharged with AI?
Oct 15, 2025
•
Kathryn Shih
and
Jimmy Park
1
Margin of Safety #31: So are you actually behind on AI agents?
There is a lot of agentic FOMO. We hope you are not pushed into panic building.
Oct 8, 2025
•
Kathryn Shih
and
Jimmy Park
1
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Margin of Safety
Kathryn Shih and Jimmy Park at Forgepoint Capital research the practical sides of security & AI so that you don’t have to
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