Secure. Govern. Optimize.
Every AI Agent.
AI agents are moving from pilots into production — and outrunning the controls built for them. Agent Infinity is the AgentOps platform that gives security, compliance, and platform teams visibility and control over every agent, at every stage of its lifecycle.
Autonomous agents create risk that traditional controls can't see
Every AI agent your teams deploy is a new actor with credentials, tools, and decision-making authority. Most organizations have no unified way to secure, govern, or even observe them.
Security vulnerabilities
Agents with broad tool access and credentials expand the attack surface — prompt injection, tool misuse, and data exfiltration paths that traditional AppSec wasn't built to catch.
Uncontrolled agent behavior
Autonomous, multi-step decision-making can drift from intended scope with no consistent way to constrain or review what an agent is actually doing.
Compliance gaps
Auditors and regulators increasingly ask how AI-driven decisions are governed — most teams can't yet produce a clear answer for their agent fleet.
Lack of observability
Agent actions, tool calls, and reasoning chains are often invisible once deployed, making incident response and root-cause analysis slow and manual.
Reliability & performance issues
Without continuous assessment, degraded agent performance, hallucinated outputs, and failure modes surface in production instead of before it.
Unexpected infrastructure & API costs
Runaway loops, retries, and unchecked model/API usage turn agent workloads into unpredictable line items with little early warning.
Agent lifecycle governance
Agents are provisioned, updated, and retired outside any consistent process — leaving no single source of truth for what's running, and why.
The operating discipline for running AI agents responsibly
AgentOps applies the same rigor DevOps and DevSecOps brought to software delivery — to AI agents. It treats every agent as a first-class, governed system: assessed continuously, not just approved once.
Define and enforce policy for what agents can access, what they can do, and who is accountable — with a consistent record across every agent you run.
Continuously assess agents for security weaknesses — from tool and credential misuse to prompt-level attack paths — before and after they ship.
Turn agent behavior into evidence: audit trails, risk visibility, and reporting your security, compliance, and leadership teams can actually rely on.
One platform, across the agent lifecycle
Agent Infinity brings security, compliance, and operations teams onto shared ground for how AI agents are built, run, and governed.
AI Agent Security Testing
Assess agents for tool misuse, credential exposure, and prompt-level attack paths before they reach production.
Compliance & Governance
Codify policy for what agents are permitted to access and do, and keep a consistent, reviewable record of it.
Reliability & Performance Assessment
Continuously evaluate agent behavior for degradation, failure modes, and inconsistent outputs over time.
Observability
Visibility into agent actions, tool calls, and reasoning chains — so incidents are explainable, not opaque.
Risk Assessment
Surface and prioritize the risks that matter across your agent fleet, mapped to the systems and data they touch.
Cost Optimization
Track and control the infrastructure and API spend that autonomous, high-frequency agent workloads can quietly drive up.
Lifecycle Governance
One place to know what agents exist, who owns them, what changed, and whether they're still meeting policy.
Built around governance, not bolted on after
Security and compliance are the core of what Agent Infinity does — not a feature checkbox. Every capability is designed to give you evidence, not just assurances.
Policy enforcement
Define what every agent can access, invoke, and act on — enforced consistently, not left to per-agent configuration.
Risk visibility
A unified view of agent-level risk, so security and platform teams can prioritize what actually needs attention.
Auditability
Reviewable records of agent activity and policy decisions — built for the questions your auditors and leadership will ask.
Continuous assessment
Security and compliance posture is reassessed on an ongoing basis, not just at the point an agent is approved.
A note on certifications: Agent Infinity is built with enterprise governance and audit requirements in mind. We do not currently hold formal third-party security certifications — additional compliance and certification milestones are on our roadmap as the platform and customer base grow.
From first connection to continuous control
Connect
Bring your agents, orchestration frameworks, and tool integrations into Agent Infinity.
Assess
Run continuous security, reliability, and compliance assessments across your agent fleet.
Identify Risks
Surface concrete, prioritized risks tied to specific agents, tools, and data access.
Govern
Apply and enforce policy so agents operate within approved, auditable boundaries.
Monitor
Track agent behavior and posture continuously, with visibility into what changed and why.
Optimize
Use assessment data to improve reliability, tighten policy, and manage cost over time.
Built for the teams accountable for agent risk
Pre-production agent security testing
Assess new agents for security weaknesses before they get access to production data and systems.
Continuous compliance monitoring
Keep a standing, reviewable record of agent policy and behavior for regulated or audit-heavy environments.
Multi-agent fleet observability
See what every agent across your organization is doing, on tools, data, and outcomes — in one place.
Cost governance for agent workloads
Catch runaway loops and unexpected API/infrastructure spend from autonomous agents early.
Third-party & vendor agent risk assessment
Evaluate the risk profile of agents built or operated by external vendors before you rely on them.
Incident-ready audit trails
When something goes wrong, have the evidence trail ready — not a scramble to reconstruct what happened.
Security principles we build against
Agent Infinity is an early-stage platform. We'd rather be precise about where we are than overstate it — here are the principles guiding our architecture, and what's ahead.
Compliance roadmap
Formal third-party certifications are not yet in place. As we scale with early customers, we plan to pursue the audits and certifications enterprise buyers expect — and we'll be transparent about status here as that progresses.
Least-privilege by default
Agent Infinity is designed to request and retain only the access it needs to perform an assessment.
Encryption in transit
Data moving between your environment and Agent Infinity is encrypted in transit.
Environment isolation
Customer environments and data are architected to be logically isolated from one another.
Human-in-the-loop by design
Governance actions are built to support review and approval, not silent, unilateral changes.
See Agent Infinity on your own agents
Tell us a bit about what you're running today, then pick a time that works for you — no generic sales deck, no waiting on a follow-up email.
- — 30 minutes, no cost, no commitment
- — Focused on your actual agent stack and risks
- — Straight talk on what Agent Infinity does and doesn't do yet
Ready to put your AI agents under control?
See how Agent Infinity gives your team visibility, governance, and proof — across every agent you run.