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☐ β˜† βœ‡ Security – Cisco Blog

Accelerate Security Operations with Cisco’s New Security-Tuned Model

By: Aman Priyanshu β€” February 12th 2026 at 13:00
Explore a new frontier in LLM quality and speed. Cisco’s Foundation-Sec model delivers high-performance AI summaries for Splunk Security Operations workflows.
☐ β˜† βœ‡ Security – Cisco Blog

Redefining Security for the Agentic Era

By: Peter Bailey β€” February 10th 2026 at 08:30
The agentic era is here. As AI agents act autonomously at machine speed, learn why security must evolve with intent-aware controls to make autonomous systems safe, accountable, and reliable.
☐ β˜† βœ‡ Security – Cisco Blog

SASE for the AI Era: Driving Secure, Distributed, and Optimized AI

By: Raj Chopra β€” February 10th 2026 at 08:20
Learn how Cisco SASE enables secure, predictable, and scalable AI operations by unifying performance and protection for distributed, agentic AI workflows.
☐ β˜† βœ‡ Security – Cisco Blog

AI search framework that teaches AI models to think like experts

By: Supriti Vijay β€” January 29th 2026 at 13:00
Cisco Foundation AI introduces AI search framework for more efficient search by models
☐ β˜† βœ‡ Security – Cisco Blog

Foundation-sec-8B-Reasoning: The First Open-weight Security Reasoning Model

By: Yaron Singer β€” January 29th 2026 at 13:00
Cisco Foundation AI introduces the first open-weight reasoning model for security.
☐ β˜† βœ‡ Security – Cisco Blog

Introducing The PEAK Threat Hunting Assistant: Agentic AI to Supercharge Your Hunt

By: David Bianco β€” January 29th 2026 at 13:00
Learn about the PEAK Threat Hunting Assistant, introduced by Cisco Foundation AI
☐ β˜† βœ‡ Security – Cisco Blog

Cisco Foundation AI Advances Agentic Security Systems for the AI Era

By: Yaron Singer β€” January 29th 2026 at 13:00
Cisco Foundation AI is building agentic security for the AI era
☐ β˜† βœ‡ Security – Cisco Blog

Rethinking AI Security: The Dynamic Context Firewall for MCP

By: Gogulakrishnan Thiyagarajan β€” September 30th 2025 at 12:00
A Dynamic Context Firewall (DCF) for Model Context Protocol (MCP) is a proposed, context-aware security layer that protects AI agent interactions.
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