<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <channel>
    <title>DEV Community: Pulkit Srivastava</title>
    <description>The latest articles on DEV Community by Pulkit Srivastava (@pulkit_srivastava_8ce4f05).</description>
    <link>https://dev.to/pulkit_srivastava_8ce4f05</link>
    <image>
      <url>https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3958756%2F0b57b9b7-6ee2-4d32-9dec-c48299d684ba.jpg</url>
      <title>DEV Community: Pulkit Srivastava</title>
      <link>https://dev.to/pulkit_srivastava_8ce4f05</link>
    </image>
    <atom:link rel="self" type="application/rss+xml" href="https://dev.to/feed/pulkit_srivastava_8ce4f05"/>
    <language>en</language>
    <item>
      <title>I built a cryptographic audit receipt for Claude Mythos (and any AI model) — here's how it works</title>
      <dc:creator>Pulkit Srivastava</dc:creator>
      <pubDate>Fri, 29 May 2026 15:47:13 +0000</pubDate>
      <link>https://dev.to/pulkit_srivastava_8ce4f05/i-built-a-cryptographic-audit-receipt-for-claude-mythos-and-any-ai-model-heres-how-it-works-5hbn</link>
      <guid>https://dev.to/pulkit_srivastava_8ce4f05/i-built-a-cryptographic-audit-receipt-for-claude-mythos-and-any-ai-model-heres-how-it-works-5hbn</guid>
      <description>&lt;p&gt;Anthropic's Mythos model can autonomously find zero-day &lt;br&gt;
vulnerabilities. Their CVD disclosure process uses manual &lt;br&gt;
SHA-3-512 hash commitments to prove findings existed.&lt;/p&gt;

&lt;p&gt;I built something that automates that in one line of Python.&lt;/p&gt;

&lt;h2&gt;
  
  
  What AetherProof does
&lt;/h2&gt;

&lt;p&gt;One function call generates a 128-byte Ed25519-signed receipt &lt;br&gt;
that proves:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;
&lt;strong&gt;What model ran&lt;/strong&gt; — FNV-1a hash of provider/model ID&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;What it produced&lt;/strong&gt; — hash of the output&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;When&lt;/strong&gt; — cryptographic nanosecond timestamp&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Tamper-evident&lt;/strong&gt; — flip any byte anywhere → INVALID&lt;/li&gt;
&lt;/ul&gt;



&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight plaintext"&gt;&lt;code&gt;
python
import aetherproof

receipt = aetherproof.for_anthropic(
    "Find vulnerabilities in this binary.",
    finding_text,
    model="claude-mythos-preview"
)

receipt.save("CVE-2026-001.receipt")
print(receipt.verify())  # True
Try it in 30 seconds

pip install aetherproof
python -c "
import aetherproof
r = aetherproof.for_anthropic('question', 'answer')
print(r.verify())   # True
print(r.pretty())
"
The unusual part — invisible Unicode watermarking
Receipts embed invisibly into any text using Unicode
Private Use Area codepoints (U+E000–U+E0FF).

AI output carries its own audit trail. Works in any language —
Arabic, Chinese, Devanagari, Hebrew, Thai, Japanese all tested.


signed_output = aetherproof.embed(ai_response, receipt.to_bytes())
# Text looks identical. Receipt is inside.

aetherproof.verify_embedded(signed_output)  # True
Numbers
187 tests, 0 failures
128/128 byte flips all detected
1000/1000 tamper probes pass
Cross-language: Python generates, Rust CLI verifies
15,446 receipts/sec (Python) · 5,472/sec (Rust)
Why AGPL-3.0
Free for open source. Commercial use needs a license.
This is the compliance layer under your AI stack —
it should be open, auditable, and not vendor-locked.

GitHub
https://github.com/pulkit6732/aetherproof

Built by Pulkit. Feedback welcome.
&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;

</description>
      <category>python</category>
      <category>rust</category>
      <category>security</category>
      <category>ai</category>
    </item>
  </channel>
</rss>
