Merge pull request #3042 from pyth-network/whitepaper-and-security

chore(developer-hub): security and whitepaper

Author: nidhi-singh02

apps/developer-hub/content/docs/meta.json

@@ -1,3 +1,10 @@
 {
-  "pages": ["pyth-core", "pyth-token", "express-relay", "entropy"]
+  "pages": [
+    "pyth-core",
+    "lazer",
+    "express-relay",
+    "entropy",
+    "whitepaper",
+    "security"
+  ]
 }

apps/developer-hub/content/docs/security.mdx

@@ -0,0 +1,10 @@
+---
+title: Security
+description: Information about Pyth Network security audits and bug bounty program.
+---
+
+The Pyth software has undergone a number of audits from different firms.
+All of the audit reports are available in the [audits github repository](https://github.com/pyth-network/audit-reports).
+
+Pyth Network also offers a [bug bounty program](https://pyth.network/bounty) for reports of issues with the deployed code.
+Please visit the linked page for terms and conditions.

apps/developer-hub/content/docs/whitepaper.mdx

@@ -0,0 +1,11 @@
+---
+title: Whitepaper
+description: The official Pyth Network whitepaper outlining the protocol design, architecture, and economic model.
+---
+
+Growth in DeFi requires high-fidelity, time-sensitive, real-world data, direct from the source and made available on any L1 blockchain. Financial market data, however, is often accessible to only a limited set of institutions and users. Traditional markets typically maintain strict control over and access to both live and historical price feeds. Consequently, only a selected group of users has access to the most timely, accurate, and valuable information.
+
+The Pyth network is a next-generation oracle solution that aims to bring this valuable financial market data to the general public. The network does so by incentivizing market participants — trading firms, market makers, and exchanges — to share directly on-chain the price data collected as part of their existing operations. Pyth's data providers include some of the largest **traders**, **exchanges**, and **financial services** players who create unique high quality market data. This includes real world market data in **equities**, **fx, crypto, and metals with ambitions to scale across asset classes**. Data publishers include [GTS](https://pythnetwork.medium.com/new-pyth-data-provider-gts-555c4d0e362b), Jane Street, Hudson River Trading, [LMAX](https://pythnetwork.medium.com/new-pyth-data-provider-lmax-dd05264d1a16), [Virtu](https://pythnetwork.medium.com/new-pyth-data-provider-virtu-financial-ed09143f44d5), [BSX](https://pythnetwork.medium.com/new-pyth-data-provider-the-bermuda-stock-exchange-ccf3c04bd430), [CTC](https://pythnetwork.medium.com/new-pyth-data-provider-chicago-trading-company-64a457340443), and [many more](https://pyth.network/publishers/).
+
+The [Pyth Network Whitepaper](https://pyth.network/whitepaper) describes the mechanisms powering the protocol.
+The whitepaper was last updated in September 2023.