The Cybersecurity Industry: A System Under Strain
The Power of Collective Defense: A Vision Hampered
When cyber threats are increasingly sophisticated and often backed by nation-states, individual defenses are simply not enough. The concept of “Collective Defense” – where organizations share threat intelligence and collaborate on defense proactively as well as in real-time – is not just beneficial, it should be a strategic imperative. Mirroring geopolitical alliances like NATO, where an attack against one is an attack against all, Collective Defense can enable community-level detection and correlation, and shifts organizations from a reactive stance to a proactive one.
Despite its clear advantages, Collective Defense faces significant hurdles:
- Legal Barriers: Concerns about privacy, trade secrets, potential legal liabilities, and reputational damage create practical and legal disincentives to collaboration.
- Technological Barriers: The lack of interoperability or compatibility between sharing organizationsmakes effective information exchange difficult and the sheer complexity of information contributes to firms’ inability to process this data.
The Platformization Paradox: More Problems Than Solutions
Keeping Pace with Today’s Cybersecurity Landscape: The AI Agent and Standardization Opportunity
AI Agents are smart, autonomous entities that can think and act independently to protect digital systems. Unlike traditional security systems that rely on fixed rules, AI Agents can learn and adapt, continuously improving their threat detection capabilities by analyzing patterns and adjusting strategies.
The potential transformative power of AI Agents is unlocked through two key protocols:
- Model Context Protocol (MCP): The Universal Adapter for Tools. MCP standardizes how AI models interact with external tools, APIs, and data sources, allowing an AI agent to seamlessly work with multiple tools, effectively decoupling tools from specific AI implementations. This provides modularity, flexibility, reduced development overhead, enhanced AI capabilities, specialization, and futureproofing.
- Agent-to-Agent (A2A) Communication: Enabling Collaborative AI. A2A is an open protocol that provides a standard way for AI agents to collaborate with each other, regardless of the underlying framework or vendor. A2A for example allows agents specialized in data enrichment, threat intelligence, vulnerability management, posture management, and more, to collaborate and share findings in real-time.
A Call to Action for Policy Makers: Seizing the Moment
- Encourage Standardization of A2A and MCP Over Monolithic Platforms: The time for concerted action on AI interoperability is now. Market forces alone will not achieve this, as incumbent vendors naturally protect their silos. Policy should
encourage architectures that support agent-to-agent interoperability using open standards like MCP and A2A, and encourage this through federal procurement actions, building a defense industrial base that requires interoperability not just across platforms, but across companies, sectors, and cultures. - Renew CISA and Address Regulatory and Legal Barriers to Information Sharing and Collaborative Defense: The potential expiration of laws like the CISA (Cybersecurity Information Sharing Act) on September 30 poses a significant risk to existing private-to-private and public-private information sharing. Policymakers must reauthorize and strengthen the act, ensuring robust legal protections for information sharing. Developing clear, harmonized legal frameworks for data sharing through the act, including anonymization and liability protections, is crucial to encourage broad participation in collective defense.
- Recognize the Strategic Imperative of Cybersecurity for National Security and Economic Resilience: Policymakers must recognize cybersecurity as a core national security and economic competitiveness issue. Prioritizing policies that encourage open standards and interoperability as foundational elements of a resilient digital future is paramount. Policymakers need to act with a sense of urgency to shape the nascent cybersecurity AI agent and standardization landscape
before it becomes dominated by new proprietary silos, effectively repeating the mistakes of the past cybersecurity industry.