Cyber SecurityAgentic

AI Agents and Open Standards are Needed to Keep Pace with Today’s Evolving Global Cyberthreat Landscape

By Jason Keirstead, VP of Security Strategy, Simbian

The cybersecurity industry continues to struggle to keep pace with threats. It’s a complex, fragmented environment where the very systems designed to protect us often work against each other. This isn’t just an inconvenience; it’s a critical vulnerability that cyber adversaries exploit daily. However, a transformative opportunity is emerging through the strategic adoption of AI Agents and open standards, allowing us to fundamentally reshape and strengthen our collective digital defenses – but only if we act decisively.

The Cybersecurity Industry: A System Under Strain

The current state of cybersecurity is akin to a fraying patchwork quilt, stitched together from disparate tools and isolated systems, a direct consequence of market forces and a prevailing culture that discourages the very interoperability essential for robust defense. The Department of Homeland Security (DHS) has long recognized this deficiency, emphasizing the necessity for device-to-device level collaboration across various vendor platforms. This lack of interoperability creates a “hidden tax” on innovation and resilience. Resources that could be invested in genuine security enhancements or groundbreaking solutions are instead diverted to integrating complex, siloed systems – weakening the overall defensive posture. This problem extends beyond individual organizations; a fragmented cybersecurity ecosystem within a nation directly impacts its ability to innovate, respond to threats, and compete globally, hindering its overall national security and economic resilience.

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.
These obstacles create an inherent “asymmetric advantage” for adversaries. Threat groups operate in a fluid, collaborative manner, while defenders are often bogged down by systemic friction, meaning that even with advanced tools, our collective defense is weaker than adversaries’ collective offense.

The Platformization Paradox: More Problems Than Solutions

In an effort to simplify the fragmented cybersecurity landscape, many organizations have embraced “platformization” – the consolidation of security tools under a single vendor’s umbrella. The promise is appealing – improved efficiency, reduced complexity, and lower costs. However, this trend often introduces new, equally problematic challenges. The initial appeal of platformization is often actually an illusion, trading one form of complexity (managing many disparate tools) for another, more insidious one (being trapped in an evolving, potentially underperforming, and costly single ecosystem). This means that “consolidation” is not inherently good if it leads to proprietary lock-in. True simplification and strength come from genuine interoperability between best-of-breed tools, not forced monolithic solutions.

Keeping Pace with Today’s Cybersecurity Landscape: The AI Agent and Standardization Opportunity

The challenges of fragmentation and vendor lock-in are formidable, but a new paradigm offers a genuine path forward: the strategic deployment of AI Agents coupled with open, standardized communication protocols like Model Context Protocol (MCP) and Agent-to-Agent (A2A).

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:

The combined power of MCP and A2A could fundamentally change the cybersecurity procurement and operational model to keep pace with today’s complex and evolving cybersecurity landscape. Instead of buying monolithic platforms or struggling with point-to-point integrations, organizations can build an “agent ecosystem” where specialized AI agents, leveraging open standards, work together to deliver best-of-breed outcomes and democratize advanced cybersecurity capabilities. If MCP and A2A standardize agent-tool and agent-agent communication, it lowers the barrier to entry for smaller vendors to create specialized agents, and for smaller organizations to adopt sophisticated, automated defenses – without needing massive in-house integration teams.

A Call to Action for Policy Makers: Seizing the Moment

Policymakers have a critical role to play in fostering this transformation, and decisive action is needed now, before proprietary interests solidify the old, broken models.
  1. 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.
  2. 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.
  3. 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.
The opportunity of AI to fundamentally reshape and fix the cybersecurity industry is upon us, but it won’t be solved by technology alone. Improvements will come only if security vendors, consumers, and policy makers come together to combat these challenges. Let’s work together to get the most out of the potential and finally make “collective defense” a reality.

Author

Related Articles

Back to top button