The Cisco DevNet Brief - December 2025

The Cisco DevNet Brief - December 2025

Your monthly roundup of the latest in networking, security & AI. Hosted by Oleksii Borysenko. In this episode: * New Cisco Secure Access Python SDK for managing API credentials, destination lists, and access policies * Splunk CISO Report 2025: 83% paid ransoms, 90% faced disruptive attacks * Cisco joins Agentic AI Foundation with Anthropic, Block & OpenAI * State of Kubernetes Networking 2025: Cilium dominates with 60%+ adoption * Cisco's new Foundation-sec-1.1-8B-Instruct AI model for identity security Links: Cisco Secure Access Python SDK: https://github.com/CiscoDevNet/cisco-secure-access-python-sdk?utm_source=CiscoDevNet_podcast [https://github.com/CiscoDevNet/cisco-secure-access-python-sdk?utm_source=CiscoDevNet_podcast] Splunk CISO Report 2025: https://www.splunk.com/en_us/form/ciso-report.html?utm_source=CiscoDevNet_podcast [https://www.splunk.com/en_us/form/ciso-report.html?utm_source=CiscoDevNet_podcast] State of Kubernetes Networking Report: https://isovalent.com/reports/state-of-kubernetes-networking-2025-report/?utm_source=CiscoDevNet_podcast [https://isovalent.com/reports/state-of-kubernetes-networking-2025-report/?utm_source=CiscoDevNet_podcast] Foundation-Sec AI Model: https://huggingface.co/fdtn-ai/Foundation-Sec-1.1-8B-Instruct?utm_source=CiscoDevNet_podcast [https://huggingface.co/fdtn-ai/Foundation-Sec-1.1-8B-Instruct?utm_source=CiscoDevNet_podcast]

Preparing Security Teams for the Cryptographic Transition | The Quantum Unboxing

How Post-Quantum Cryptography Affects Security and Encryption Algorithms Table of Contents: 00:00 - Post-quantum adoption roadmap 01:23 - RSA, Elliptic Curve Cryptography (ECC), and Diffie-Hellman key exchange are particularly vulnerable to quantum attacks 2:12 - TLS protocols and quantum-resistant alternatives like ML-KEM 2:44 - AES brute-force attacks 03:37 - Cisco Secure Key Integration Protocol (SKIP) 04:34 - Post-Quantum Cryptography Standards

Mostly Human Show | Episode 1

Adrian Iliesiu & Shereen Bellamy explore how to fine-tune smaller, open-source large language models for specific networking tasks, such as ticket triaging. They discuss the practical process, from selecting a base model to the critical steps of preparing high-quality, structured data.