Agentic AI × Cybersecurity Business Strategy
Your teams are adopting AI agents to work faster and smarter across every function. agentiSEC helps enterprise leadership secure that adoption — agentic security frameworks, IP protection strategies, MCP governance, and cyber insurance positioning designed for the agent-enabled enterprise.
Agent security frameworks, IP protection, MCP governance, and risk assessment designed for executive decision-making
20+ years inside the companies shaping enterprise security — from SOAR to SIEM to agentic AI
Securing the gap between your AI teams, security teams, and the executives enabling agent adoption
Advisory Services
Each outcome is independent. Start with the security challenge that's most critical for your executive team right now.
See where your agents are, what they're connected to, and what's at risk
Are you ready to secure an agent-enabled business? A structured assessment that evaluates how your teams are deploying agents and produces a prioritized cybersecurity program roadmap.
What is your actual agentic footprint — sanctioned and shadow? Map how your people are using agents across the enterprise and produce a business-level risk inventory with governance recommendations.
What external MCP connections do your employees' agents have, and what data is flowing through them? A dedicated governance framework for Model Context Protocol adoption across the enterprise.
Secure your agent architectures, protect your IP, and govern third-party agent risk
How do you govern agent usage consistently across the enterprise? A reusable, component-level governance framework that empowers your teams to adopt agents with appropriate security guardrails.
What IP lives in your agents and how do you protect it? A protection plan spanning organizational, contractual, and governance dimensions for the intellectual property embedded in your agent ecosystem.
How do you manage risk when your people's agents interact with external parties? Extend your TPRM framework to account for agent-mediated transactions and MCP-based data flows.
Equip your board and leadership to govern agentic risk and optimize insurance positioning
Can the board articulate your agentic risk posture? A half-day workshop translating the enterprise's agent adoption landscape into governance-level language for non-technical executives.
Can functional leaders help their teams adopt agents effectively and securely? A strategic immersion equipping senior leaders to evaluate AI agent opportunities through a security-informed business lens.
Is your insurance position aligned to your actual agentic risk profile? Evaluate coverage gaps, document your security posture, and turn governance into a negotiating advantage.
The Evolving Landscape
As your people adopt AI agents to work faster and more effectively, these realities are reshaping the enterprise security landscape.
As employees across the enterprise adopt AI agents, the number and variety of agents in play grows rapidly. The prospect of securing them all can seem overwhelming. But every agent shares a common set of core components: brain (LLM), memory (context stores), skills (tool use, API calls), planning (orchestration), and identity (credentials, permissions).
Understanding this common architecture gives enterprises a manageable framework for building cybersecurity governance that scales across the entire agent portfolio — even as the population grows.
Employees increasingly want their agents to reach beyond the enterprise — accessing external data, tools, and services for better results. Model Context Protocol (MCP) makes this possible, with 97M+ monthly SDK downloads and backing from Anthropic, OpenAI, Google, and Microsoft.
This is productive evolution — but it creates a governance challenge. Research shows ~3,000 unmanaged MCP instances in a typical 10,000-person enterprise, with employees connecting agents to external services without IT oversight. Enterprises that plan for this now will enable their people to move quickly and securely.
Founder
Don Leatham brings 20+ years of partnerships, program design, GTM strategy, and business agreements across the cybersecurity industry — applied to the agentic AI transformation reshaping enterprise security today.
Agentic AI Security — Crogl
Designing the partnership and GTM strategy for a company building autonomous AI agents for enterprise SOC operations. Current, firsthand understanding of how the agentic security market is forming and what enterprises need to secure their agent deployments.
SOC GenAI — Securonix
Influenced product direction toward AWS GenAI (Bedrock) and leveraged that shift to drive a successful joint GTM motion with AWS — co-marketing, co-selling, and multi-million-dollar pipeline generation in two quarters.
TPRM — SecurityScorecard
Worked at the intersection of third-party risk management, cyber insurance underwriting, and partner ecosystem strategy. Direct understanding of how enterprises and insurers evaluate cybersecurity risk.
SOAR — Phantom
Designed the complete partner program for the SOAR platform — the conceptual predecessor to today's AI agents in security. Multi-track program across ISVs, GSIs, resellers, and MSSPs.
SIEM — Splunk
Launched a cross-company security analytics product for AWS. Redesigned the Technology Alliance Partner program. Coordinated business decisions across engineering, product, finance, marketing, and sales.
Enterprise Patch Management — Ivanti (PatchLink)
Designed and brought to market an enterprise-level patch management OEM solution utilized by tier-one systems management vendors including Microsoft, VMware, Dell, HP, Qualys, and Sophos. Deep understanding of the complexities enterprises face when deploying security solutions at scale across the SOC — directly parallel to the agent deployment challenge today.
Get Started
Whether you're assessing your agentic security posture, building agent security frameworks, or preparing your board for agentic risk — the conversation starts here.