Artificial intelligence is transforming cybersecurity at a pace few organizations could have anticipated. AI is helping defenders analyze threats, discover vulnerabilities, automate investigations, and respond to incidents faster. At the same time, the same technology is giving attackers unprecedented capabilities.
The emergence of increasingly capable AI systems such as Anthropic’s Mythos makes this shift particularly important. Mythos demonstrated the ability to identify complex software vulnerabilities at a scale and speed that would be difficult for human security teams to match. Security researchers have also demonstrated that advanced AI agents can perform meaningful portions of complex exploitation workflows.
For organizations, the message is clear: cybersecurity can no longer be treated as something the internal security team manages alone. Strong vendor security support has become a critical component of an organization’s overall security strategy.
AI Is Changing the Cybersecurity Equation
For years, organizations have operated under a familiar model: deploy security tools, configure them properly, monitor alerts, patch vulnerabilities, and respond when something goes wrong.
AI is changing the economics of that model.
An attacker with access to advanced AI can potentially automate reconnaissance, analyze source code, search for vulnerabilities, generate attack techniques, and adapt to defensive measures. What previously required specialized knowledge and significant time can increasingly be accelerated by AI.
The defenders face the opposite problem. More vulnerabilities can be discovered, more alerts can be generated, and more threats can emerge—but security teams do not necessarily have more people or time.
Research surrounding Mythos illustrates this challenge. AI-assisted vulnerability discovery can dramatically increase the number of potential security findings. The resulting bottleneck may shift from finding vulnerabilities to validating, prioritizing, remediating, and deploying fixes quickly enough.
This is where security vendors become increasingly important.
Security Vendors Are Part of the Defense Team
Organizations often think of vendors primarily as providers of software or services. In today’s environment, that mindset is too narrow.
A security vendor should be viewed as an extension of the organization’s security team.
Effective vendor support can provide expertise in areas such as vulnerability management, threat detection, incident response, security configuration, patch management, identity protection, and compliance. More importantly, vendors can provide specialized expertise that many organizations cannot afford to maintain internally.
This becomes especially valuable when an emerging AI threat requires a rapid response.
Consider a newly discovered vulnerability. An internal security team may need to determine whether the organization’s products are affected, identify vulnerable systems, evaluate the risk, develop compensating controls, deploy patches, and monitor for exploitation.
A vendor with deep product knowledge can dramatically accelerate that process.
The Vendor’s Own Security Matters
There is another important dimension to vendor security support: your vendors themselves are part of your attack surface.
Organizations increasingly depend on cloud providers, SaaS platforms, managed service providers, software developers, AI platforms, and technology partners. These vendors may have privileged access to corporate systems, sensitive data, source code, credentials, or production environments.
A compromise of one vendor can therefore become a pathway into multiple customer environments.
The rise of AI makes this supply-chain risk even more significant because AI systems frequently connect to APIs, repositories, databases, cloud infrastructure, development tools, and business applications.
Organizations need to ask vendors difficult questions:
- How are privileged accounts protected?
- Is multifactor authentication mandatory?
- How quickly are critical vulnerabilities patched?
- How is customer data protected?
- What happens during a security incident?
- How quickly will customers be notified?
- Are software dependencies continuously monitored?
- Is the vendor conducting penetration testing and independent security assessments?
- How is AI being used within the vendor’s own environment?
A vendor that cannot answer these questions clearly may represent a significant security risk.
Support After the Sale Is Critical
One of the biggest mistakes organizations make is evaluating security products primarily during procurement.
A product may look impressive during a demonstration, but cybersecurity is not a one-time purchase. Threats evolve every day.
The quality of vendor support after deployment can therefore be just as important as the technology itself.
Organizations should evaluate whether vendors provide:
Rapid incident support. When a serious security event occurs, customers need access to knowledgeable experts—not just a generic support portal.
Security advisories. Vendors should proactively communicate vulnerabilities, patches, mitigations, and emerging threats.
Threat intelligence. Vendors should continuously monitor the threat landscape and translate intelligence into actionable recommendations.
Product security updates. Security controls need to evolve as attackers develop new techniques.
Expert guidance. Customers need help understanding how new technologies—including AI—affect their existing security architecture.
The strongest vendors don’t simply tell customers that a vulnerability exists. They help customers understand what it means, determine whether they are exposed, and take practical steps to reduce the risk.
AI Requires Continuous Validation
Another lesson from the Mythos era is that traditional point-in-time security assessments are becoming less sufficient.
AI-enabled systems can change rapidly. Models, prompts, tools, permissions, integrations, and data sources may all change between releases.
A system considered secure today may have a different risk profile tomorrow.
This makes continuous security validation increasingly important. Organizations need visibility into what AI systems can access, what actions they can perform, which external services they communicate with, and whether their behavior remains within approved boundaries.
Independent AI security validation is emerging as an important capability because organizations need evidence—not simply assurances—that AI systems have been tested and remain secure as they evolve.
What Organizations Should Expect From Vendors
The relationship between customers and security vendors needs to become more collaborative.
Organizations should expect vendors to:
- Take ownership of product security. Security should be built into products rather than treated as an add-on.
- Communicate proactively. Customers should not have to discover critical vulnerabilities through social media or security news.
- Provide meaningful incident support. Response should include knowledgeable security experts who understand the product and its architecture.
- Help customers prioritize. Not every vulnerability deserves the same response. Vendors should help customers understand exploitability and business impact.
- Support AI security. Vendors should explain how their products interact with AI systems and how customers can securely deploy AI-enabled capabilities.
- Demonstrate their own security posture. Vendors should be prepared to provide appropriate security documentation, certifications, testing results, and evidence of effective controls.
The Future: Shared Responsibility
The age of AI is making cybersecurity a shared responsibility in a very real sense.
Organizations remain responsible for protecting their environments, data, employees, and customers. But they increasingly depend on vendors for the technology, infrastructure, intelligence, and expertise necessary to accomplish that mission.
Mythos is a warning about how quickly the offensive and defensive cybersecurity landscape can change. Advanced AI can help defenders find vulnerabilities—but it can also reduce the time and expertise required to discover and exploit them.
The organizations best positioned for this new environment will not necessarily be those with the most security tools. They will be those with the right technology, the right processes, and the right vendor partnerships.
Ultimately, vendor security support should no longer be viewed as a service-level agreement or procurement checkbox. It should be considered part of the organization’s security architecture.
In the age of AI, the question is no longer whether your organization will rely on vendors.
The question is whether those vendors will be strong enough to defend alongside you when the next generation of AI-powered attacks arrives.