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Security @ Cisco Blogs

We third-party tested our firewall built for AI-scale. The test tools hit their limit first. SharpHound Recon Attack - How AI enhanced the threat hunt Machine Speed, Human Judgement: How AI Changed the SOC in 2026 Elevating Expertise in the SOC Educate at Event Speed: Cisco Live Security Operations Center What Working the Cisco Live SOC Taught Me About AI, Detection, and Response Cable to Cloud - A Product Engineer's Journey Through the Cisco Live AMER 2026 SOC The Experience Dividend: How Better Digital Experience Protects Revenue, Trust, and Growth AIM: Building an Agentic Tier-2 SOC Analyst at Cisco Live AMER 2026 Building the Agentic SOC at Cisco Live Americas 2026 Ten Years in the SOC at RSAC: What We Learned in 2026 Uplevelling Black Hat Threat Hunters Making Workflow Runs Explain Themselves: AI-Powered Run Summaries in Cisco XDR Automate Independent Testing Confirms Secure Email Threat Defense’s Email Security Strength Defenseclaw for On-Prem AI SOC Workflow at Black Hat Asia Cisco Secure Access with MCP Infrastructure at Black Hat Asia 2026 The Essence of Black Hat – Collaboration with Partners Black Hat Asia 2026: A Decade in Singapore Black Hat Asia 2026: Threat Hunters’ Corner Unveiling the Power of Integration: XDR, Splunk, Corelight, Arista and Palo Alto Networks in Action at Black Hat Asia Security in the Post-Mythos Era Cisco SASE with Meraki: Get in the Fast Lane to SASE Extending Zero Trust Across the Agentic AI Workflow Strengthening the Foundation: A Predictable, Customer focused Response to AI-Accelerated Vulnerability Discovery Quantum Resilience Needs a Common Language. Here’s Where to Start. Security at Cisco Live: Going Shields Up for the Agentic Era Identity Elevated: A New Unified Identity Experience in Cisco Cloud Control Security Needs a New Operating Model Cisco Secure Access and Microsoft Purview Integration for Simplified Data Protection Cisco Secure Access and Island Browser Enable Zero Trust Everywhere Finding what lives between the alerts: Announcing Cisco Talos Threat Hunting From Log Flood to Threat Signal: Cisco and Splunk Bring Context to Modern Defense Cisco Secure Access and Microsoft Edge for Business Integration Why Network Segmentation Projects Fail: Four Patterns Enhancing Cisco Secure Email Gateway: Safer Clicks and Cleaner Files AI-generated reporting: Lessons learned from Cisco Talos Incident Response Inside the SOC: AI-powered DNS defense against ransomware Security Insights: A Threat-First View for the Platform That Enforces Access From Strategy to Architecture: How Cisco is Building a Quantum-Safe Future AI-Ready, Simpler, and More Secure WAN: Cisco SD-WAN Innovations Designing for What’s Next: Securing AI-Scale Infrastructure Without Compromise Preparing for Post-Quantum Cryptography: The Secure Firewall Roadmap Mobile World Congress 2026: AI-powered Network Security Powering MWC Barcelona – Building a Unified SOC and NOC with Splunk in Record Time AI-powered Network Security at the Mobile World Congress 2026 SNOC Inside the Mobile World Congress 2026 SOC: Detecting Shadow Traffic with Firepower 6100 Data Optimization in Security: A Splunk Architect’s Perspective Inside the Talos 2025 Year in Review: A discussion on what the data means for defenders Zero Trust for Agentic AI: Safeguarding your Digital Workforce The Agent Trust gap: What Our Research Reveals About Agentic AI Security Meet Your Incident Responders
Cisco’s Risk-Based Vulnerability Disclosure in the Age of AI
Russ Smoak · 2026-05-23 · via Security @ 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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