Vulnerability Management
Penetration Testing
Cybersecurity AI
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Y Combinator, BYLD
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The story so fareach stage dated by its source: the company's releases, the press, registers, filings
Jun 2026
Went through Y Combinator
Feb 10
Launched on Hacker News Show HN: Fabraix Playground – Weekly Wordle for Breaking AI Agents
Apr 2025
Website went live first capture in the Wayback Machine
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News
Bounding the Blast Radius: A Survey of Prompt-Injection Defenses for LLM Agents
Prompt injection has no known general solution. We organize the defense landscape into a four-layer taxonomy, analyze the documented failure mode of each layer, and argue for composing defenses under explicit cost and latency budgets, then verifying the r
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Report
Adversarial Cost to Exploit (ACE): A Dynamic Benchmark for AI Agent Security
We introduce Adversarial Cost to Exploit (ACE), measuring the token expenditure an adversary must invest to breach an LLM agent. Six budget-tier models show an order-of-magnitude variance in adversarial cost.
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Report
2026 so far has matched all of 2024 for AI security incidents.
We catalogued 41 AI security incidents since January 2024. Q1 2026 alone matched all of 2024. March had 8 - the worst single month on record.
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SWE-bench will hit 90% this year.
Six models are within 1.3 points on SWE-bench Verified. Binary benchmarks are saturating - what will replace them?
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San Francisco
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Y Combinator 




