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Edge opportunity for service providers: Turn infrastructure into new services MRC and SRv6: How Foundational Networking Innovations Are Enabling the Next Generation of AI Supercomputers The SMB Marketing Reset: Winning Customer Trust in a Digital-First Economy Inside the SOC: AI-powered DNS defense against ransomware Our Path Forward Securing the Federal Digital Experience with Cisco ThousandEyes for Government Cisco at ONUG Dallas 2026: Securing the AI Data Center in the Agentic Era Cisco and Red Hat are powering intelligent core to edge: Red Hat Summit insights Building the Capabilities That Win: How Cisco Partners Can Lead in the SMB & Mid-Market Era How Two Hours Felt Bigger Than My To-Do List Announcing Foundry Security Spec Ace the CCIE Collaboration Lab: Success Tips from a TAC Engineer Turned CCIE Protecting Agents with Cisco AI Defense and Google Agent Development Kit Powering an Inclusive Future: Your guide to the Purpose Pavilion at Cisco Live Las Vegas The Infrastructure Behind the Mission: SOF Week 2026 Cisco Networking App Marketplace Partners at Cisco Live 2026 Beyond the Pilot: Building the Clinical Data Fabric for the Agentic Era Benchmarking scale-out AI fabrics with Cisco N9000 + AMD Pensando™ Pollara 400 NICs Month of Developer Productivity: Build and Forget The race to autonomous transport networks: A new study Lean IT, future-ready: How to save time and simplify wireless management with AI Reading Between the Pixels: Failure Modes in Vision Language Models Biochar’s triple win: Healthier soils, improved crops, and decarbonization Designing a Proactive Customer Journey Modernize your data center operations with Cisco Nexus Dashboard Why your automation stack needs Cisco Agentic Workflows Try Cisco AI Defense Explorer Edition in this hands-on lab From Bandwidth to Intelligence: How Cisco is Powering AI-Ready Networks Spotlight on digital transformation | FY25 Purpose Report Galaxy Mode is live: A limited-time look at what your Cisco AI Assistant and AgenticOps can already do Securing the Agentic Workforce: Cisco Announces Intent to Acquire Astrix Security Understanding CISA BOD 26-02: Mitigating Risk from End-of-Support Edge Devices Digging Deeper: The Future of Mining with Automation and Ultra-Reliable Wireless Voices from the field: Helping farmers build resilient local economies across rural America Built like a startup, scaled like Cisco: Transforming data center cooling for the AI era Defining Model Provenance: A Constitution for AI Supply Chain Safety and Security Introducing Model Provenance Kit: Know Where Your AI Models Come From Security Insights: A Threat-First View for the Platform That Enforces Access How I Turned My Curiosity into a Patent From Strategy to Architecture: How Cisco is Building a Quantum-Safe Future Maximizing Managed Security Services: A Strategic Guide to Optimizing Your Portfolio (Part 1 of 2) Simplify access control in five easy steps Trust: Why security is your next growth engine Cisco IQ is generally available. 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Cisco’s Risk-Based Vulnerability Disclosure in the Age of AI
Russ Smoak · 2026-05-23 · via Cisco Blogs

As the cybersecurity landscape rapidly evolves, driven by groundbreaking advancements in artificial intelligence (AI), Cisco is adapting its vulnerability disclosure practices to meet the challenges and opportunities presented by these technologies. Notably, the recent introduction of frontier models with advanced cybersecurity reasoning capabilities is transforming how vulnerabilities are discovered, analyzed, and mitigated. These AI capabilities enable unprecedented speed and scale in identifying security issues, while also allowing network defenders to continuously evolve to address emerging threats. Cisco recognizes that network infrastructure is critical, and demands for availability are unrelenting. The AI evolution puts pressure on defenders to absorb and deploy software at a greater pace.

Harnessing AI to Enhance Cybersecurity

Cisco is actively leveraging advanced AI Models to accelerate finding vulnerabilities and driving remediation. Deploying these models into our security processes allows us to find and fix vulnerabilities at a pace previously unattainable. At the same time, we recognize that adversaries will also take advantage of these evolving AI capabilities, increasing the urgency and complexity of cybersecurity defense. We prioritize cutting edge technologies and research to continuously evolve our tools, techniques, and processes by incorporating capabilities such as: AI-augmented scenarios into red teaming exercises, and deep security evaluations of our products against the sophisticated tactics enabled by these models.

Prioritizing Risk to Empower Customers

Cisco has a long history of disclosing vulnerabilities. Our public facing Security Vulnerability Policy (SVP) describes our process in detail including how to report and receive vulnerability information. We continue to adjust our practices within the goals of our overall policy: security, transparency, trust.

Cisco is evolving our risk-based vulnerability disclosure model. This approach focuses on increasing the visibility of detailed technical information for vulnerabilities that pose the highest risk—those that are critical, actively exploited, or have a higher likelihood of exploitation. By prioritizing disclosures based on risk, we enable customers to focus on their patching and mitigation efforts where they are most needed and urgent.

For vulnerabilities that are found internally and assessed as lower likelihood for exploitation and lower impact, Cisco may change the level of detail we share, moving our focus to remediation and upgrades. This means that some internally found issues that have a CVSS score in the range for a standalone advisory will no longer be communicated as standalone disclosure.

Updating the Disclosure Cycle for Lower Severity Vulnerabilities

To aid in risk management, Cisco will provide high-level data on our website for releases that contain patches for internally discovered vulnerabilities. This is intended to direct customers to security hardened releases that should be downloaded and qualified for deployment. This update to the traditional disclosure sequence allows customers to understand when releases contain general security patches. Cisco may release further data summarizing changes to the software to address the findings after the initial posting of the software.

Maintaining Our Commitment to Third-Party and Open-Source Code

Our existing practices for vulnerabilities in third-party or open-source components remain unchanged. For high severity issues in these areas, we will continue to post timely responses and provide regular updates as patches are developed and released.

Looking Ahead: The Future of AI and Cybersecurity

The capabilities of frontier AI models will continue to evolve, driving both innovation and new challenges in cybersecurity. Cisco will continue to adapt and lead in this dynamic environment by leveraging AI-driven insights for our security operations and disclosure practices. Our goal is to empower customers with timely, prioritized, and actionable information, enabling them to strengthen their security posture in an increasingly complex threat landscape.

Cisco will use our voice in the vulnerability disclosure space with the intent of driving pragmatic changes that help the industry align and scale to this expected increase in volume.

Cisco’s Product Security Incident Response Team (PSIRT) remains dedicated to collaborating with customers, researchers, and industry partners to deliver transparent, risk-focused vulnerability disclosures that reflect the realities of AI-enhanced cybersecurity.

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