Xeris Shatters the Cybersecurity Status Quo by Redefining How AI Assets Are Defended

Introducing the first one to one protection model for AI Agents, eliminating the N to M security law that has constrained cybersecurity for decades

For more than thirty years, cybersecurity has been built on an unavoidable compromise. A limited number of security controls attempting to defend an ever growing number of assets. Firewalls, EDR, IAM, API gateways, and SOC tools all follow the same broken equation, N security tools trying to protect M assets. As M grows, security inevitably weakens.

Xeris is breaking this law.

Xeris introduces a fundamentally new security architecture designed for the AI Agent era, replacing the traditional N to M defense model with a deterministic one to one protection model. For every AI Agent, every MCP server, and every autonomous AI driven process, Xeris deploys a dedicated Super AI Agent that shadows execution in real time.

Each Super AI Agent is dynamically instantiated per invocation and evolves alongside the protected AI Agent. It continuously monitors intent, tool usage, data access, and behavioral drift, even as the AI Agent rewrites prompts, chains tools, or changes execution paths during runtime.

This Super AI Agent is not a passive observer. It actively intercepts tool calls, validates decisions against policy, and enforces deterministic control in real time. When violations occur, it can pause, restrict, or terminate execution instantly, before damage happens, not after.

“AI Agents are not applications, they are living, evolving entities,” said Shlomo Touboul, Founder and CEO of Xeris. “Trying to secure them with shared controls and perimeter tools is mathematically broken. The industry has been defending M assets with N controls for decades. Xeris flips the equation. One AI asset, one Super AI Agent, full control. That is how trust is built.”

By collapsing the distance between the protected asset and its defender, Xeris eliminates blind spots, reduces attack surface expansion, and restores control in an otherwise non deterministic AI environment. Protection now scales linearly with the business, not exponentially with risk.

“This is not an incremental improvement,” added Touboul. “This is a structural change to how cybersecurity works. Once AI systems can act autonomously, learn, and modify themselves at runtime, security must become autonomous as well. Super AI Agents are not an add on, they are a requirement.”

As enterprises accelerate adoption of AI Agents, MCP based workflows, and self evolving systems, Xeris delivers the control plane that makes enterprise AI safe to deploy at scale.

Xeris. Redefining the Math of Cybersecurity Products.