• Home
  • About
  • Events Calendar
  • Blueprint Guidelines
  • Privacy Policy
  • Manage Email Delivery
  • NextGenInfra.io
No Result
View All Result
Converge Digest
Sunday, June 7, 2026
  • Home
  • About
  • Events Calendar
  • Blueprint Guidelines
  • Privacy Policy
  • Manage Email Delivery
  • NextGenInfra.io
No Result
View All Result
Converge Digest
No Result
View All Result

Home » Cisco Launches Open Source Cybersecurity AI Model 

Cisco Launches Open Source Cybersecurity AI Model 

April 28, 2025
in All
A A

Cisco unveiled a major open source initiative at the RSA Conference today, announcing the release of an AI model specifically trained for cybersecurity applications. In a keynote address at RSA Conference 2025 in San Francisco, Jeetu Patel, EVP and Chief Product Officer, described how Cisco’s new foundation model, trained on a carefully selected subset of cybersecurity data, is designed to run efficiently on smaller hardware footprints compared to general-purpose AI models. Patel emphasized that the open sourcing of the model and its tooling is intended to help the broader security community defend against increasingly sophisticated, machine-scale cyberattacks.

Patel outlined two priorities for AI in security: securing AI itself from adversarial threats, and using AI to strengthen cybersecurity operations at machine scale. The open source AI model will enable developers and security teams to build smarter agents that can automatically investigate threats, validate alerts, and recommend containment actions—dramatically improving security efficacy while reducing operational costs. Cisco stressed that in a world where attacks are being automated, human-scale defenses are no longer sufficient, and domain-specific AI expertise will be critical.

  • Cisco is open-sourcing a cybersecurity-specific AI foundation model and related tooling via Hugging Face.
  • The model is trained on 5 billion tokens selected from a curated cybersecurity corpus, out of a larger 900 billion token dataset.
  • It is highly efficient, capable of running on just one or two NVIDIA A100 GPUs, compared to much larger hardware requirements of generic LLMs.
  • The model enables automated security workflows, including alert validation, threat investigation, and action recommendations.
  • Cisco advocates for securing AI models themselves against external manipulation and hallucination, alongside using AI to bolster cyber defenses.
  • Patel stated that domain-specific AI for cybersecurity is necessary, contrasting it with using generalized AI models built for broader tasks.
  • Cisco’s goal is to foster an open ecosystem where security researchers can collaborate against adversaries rather than compete over proprietary models.
  • The initiative is part of a broader Cisco strategy to advance “super-intelligent security” through orchestrated AI agents.

“The true enemy is not our competitor—it’s the adversary. By open sourcing our cybersecurity AI model, we can collectively raise the bar to keep our organizations, our nations, and humanity safe,” said Jeetu Patel, EVP and Chief Product Officer, Cisco.

ShareTweetShareSummarizeSummarize
Previous Post

Cisco Unveils AI-Powered Security Enhancements

Next Post

Building Operational Resilience for an Evolving Digital World

Jim Carroll

Jim Carroll

Editor and Publisher, Converge! Network Digest, Optical Networks Daily - Covering the full stack of network convergence from Silicon Valley

Related Posts

Subsea

Padtec Acquires LEV Brazil to Re-Enter Subsea Market

June 5, 2026
Optical

OIF’s New Projects: Autonomous Path Startup, 1.6T MACsec, and 12.8T NPO

June 4, 2026
Financials

Ciena Delivers Strong Quarter, Lifts Full-Year Forecast

June 4, 2026
Video

Video: Scale-Up, Scale-Out & Scale-Across Explained

June 4, 2026
5G / 6G / Wi-Fi

T-Mobile Adds AI-Powered Network Optimization

June 4, 2026
Video

Video: AI-Powered Vulnerability Detection: Mythos Impact

June 4, 2026
Next Post

Building Operational Resilience for an Evolving Digital World

Categories

  • 5G / 6G / Wi-Fi
  • AI Infrastructure
  • All
  • Automotive Networking
  • Blueprints
  • Clouds and Carriers
  • Data Centers
  • Enterprise
  • Explainer
  • Feature
  • Financials
  • Last Mile / Middle Mile
  • Legal / Regulatory
  • Optical
  • Quantum
  • Research
  • Security
  • Semiconductors
  • Space
  • Start-ups
  • Subsea
  • Sustainability
  • Video
  • Webinars

Archives

Tags

5G All AT&T Australia AWS Blueprint columns BroadbandWireless Broadcom China Ciena Cisco Data Centers Dell'Oro Ericsson FCC Financial Financials Huawei Infinera Intel Japan Juniper Last Mile Last Mille LTE Mergers and Acquisitions Mobile NFV Nokia Optical Packet Systems PacketVoice People Regulatory Satellite SDN Service Providers Silicon Silicon Valley StandardsWatch Storage TTP UK Verizon Wi-Fi
Converge Digest

A private dossier for networking and telecoms

Follow Us

  • Home
  • About
  • Events Calendar
  • Blueprint Guidelines
  • Privacy Policy
  • Manage Email Delivery
  • NextGenInfra.io

© 2026 Converge Digest - A private dossier for networking and telecoms.

No Result
View All Result
  • Home
  • About
  • Events Calendar
  • Blueprint Guidelines
  • Privacy Policy
  • Manage Email Delivery
  • NextGenInfra.io

© 2026 Converge Digest - A private dossier for networking and telecoms.

This website uses cookies. By continuing to use this website you are giving consent to cookies being used. Visit our Privacy and Cookie Policy.
Go to mobile version