2026 WINNER · CYBERSECURITY STARS AWARDS
Jeremy London · Director of Engineering, AI & Threat Analytics, Keeper Security
AI Security Innovator of the Year
Overview
Keeper Security is the leading zero-trust and zero-knowledge identity security solution, trusted by millions of people and thousands of organizations globally. KeeperPAM® is Keeper's privileged access management platform that unifies password and passkey management, secrets management, privileged session management and endpoint privilege management in a single cloud-native platform, protected with quantum-resistant encryption. KeeperAI delivers real-time, AI-native threat detection across every privileged session. As AI agents proliferate and identity becomes the defining attack surface, Keeper governs access for humans, machines, non-human identities and AI agents, serving as the unified control plane for access, compliance and visibility across the enterprise.
Key Capabilities
Jeremy London does not start with technology. He starts with the problem. As Director of Engineering, AI & Threat Analytics at Keeper Security, London has built a reputation for identifying the operational pain points security teams carry every day – alert fatigue, ungoverned AI agent access, credential exposure in developer workflows – and engineering solutions precise enough to actually eliminate them. Three products delivered under his leadership define what that approach produces in practice.
KeeperAI addressed one of the most persistent frustrations in security operations: analysts manually reviewing fewer than 5% of privileged sessions, leaving the majority of activity unmonitored. London's team built an AI-native monitoring system that analyzes 100% of privileged sessions in real time, at the gateway level, detecting anomalous behavior as commands are entered. The outcome is measurable – 99% reduction in threat detection time, 80% fewer false positives and a 100x increase in analyst productivity. KeeperAI is not an alert generator, but rather, a system that tells security teams exactly what to act on.
Keeper's Model Context Protocol (MCP) integration solved a newer but equally dangerous problem: AI agents proliferating across the enterprise with no consistent framework for controlling, auditing or limiting what they could access. London's team built the industry's first zero-trust governance model for AI agent access to enterprise secrets, enforcing folder-level least-privilege, requiring human confirmation for sensitive operations and logging every agent action for compliance.
The Keeper Agent Kit tackled credential exposure in AI developer workflows. When developers manually provide API keys or database credentials inside a chat interface, that data ends up in third-party logs and potentially in training sets. The Agent Kit eliminates this risk entirely, enabling AI coding agents like Claude Code, Cursor and GitHub Copilot to resolve secrets at runtime through Keeper's hardened CLI tools – without the raw credential ever appearing in chat.
London's through line across all three: AI must operate within the same zero-trust, zero-knowledge constraints as human users. That is not a design preference. It is an architectural commitment. As AI agents become permanent fixtures in the enterprise, the industry needs engineers who understand both sides of that equation. Jeremy London is one of them.
How we are different
Jeremy London is the rare engineer who is equally fluent in what security teams need and what it takes to build it. His three flagship innovations – KeeperAI, Keeper's MCP integration and the Keeper Agent Kit – did not emerge from a product roadmap looking for differentiation. They emerged from a clear-eyed diagnosis of where enterprise security was failing: overwhelmed analysts, ungoverned AI agents and credentials leaking into developer chat histories. London identified each gap, understood its real-world consequences and delivered tools precise enough to close it.
That practitioner's instinct, combined with deep technical execution, is what makes his contributions category-defining rather than incremental. KeeperAI did not improve privileged session monitoring, it transformed it, moving coverage from under 5% to 100% and shifting security operations from reactive alerting to real-time threat response. Keeper's MCP integration did not layer governance onto AI agents, it established the architectural standard for how enterprises should govern them. The Keeper Agent Kit did not reduce credential exposure in developer workflows, it eliminated it.
Security teams do not need more tools that generate noise. They need tools built by someone who understands what the noise costs them – in analyst hours, in missed threats and in organizational risk. That is the lens Jeremy London brings to every product his team ships.
Keeper's growth has skyrocketed, thanks to its product innovation and forward-thinking sales strategy. In May 2026, Keeper was named the second fastest-growing cybersecurity company globally in Gartner's 'Market Share Analysis: Security Software, Worldwide, 2025.' This analysis specifically highlights our innovative products, naming KeeperAI as a driving force behind our success. Keeper trailed only Google in the analysis.
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