Unlock AI ROI with rapid, secure AI rollouts in production
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Without runtime visibility, AI applications
multiply risks faster than they generate returns
Without runtime visibility, machine-to-machine traffic becomes ungoverned. Token sprawl, dual identities (who authorized vs who executed), and silent cross-tenant drifts break accountability. Inconsistent TLS posture leaves sensitive east–west traffic exposed.
Prompts, outputs, and tool calls can leak PII/PHI or secrets without detection. Shadow data flows and untracked SaaS/LLM destinations emerge unchecked. Worse, logs and RAG indices may persist sensitive content long after it should be gone
Untrusted content can hijack agents through direct or indirect prompt injection. LLM outputs are often trusted blindly, leading to unsafe code execution, privilege escalation, or data loss. Jailbreaks and safety bypasses slip past legacy defenses unnoticed.
Over permissive tool catalogs and unsafe schemas create pathways for destructive actions. Chained tool abuse propagates privileges far beyond intent, enabling attackers to pivot from a single tool to system-wide compromise.
Kernel level visibility that makes secure AI adoption possible
Discovery across AI assets
Levo uncovers every AI component in use external and internal LLMs, MCP servers, agents, and AI apps. This visibility makes unsanctioned adoption impossible to miss and gives leaders the confidence that all AI usage, whether in-house or third-party, is under governance.
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Dataflow visibility
By tracing prompts, responses, tokens, and downstream API calls, Levo shows exactly how information moves across agents, MCP servers, and LLMs. With these flows illuminated, security teams can validate appropriate usage, identify shadow paths, and resolve compliance or troubleshooting issues with speed and precision.
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Identity & access mapping
Levo reveals who authorized an action versus who executed it, while mapping token scopes and authentication states. This dual view brings accountability to machine-to-machine interactions, highlights risky over-permissive access, and creates the audit trail enterprises need to satisfy regulators.
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Levo unites every team to defend against obsolescence from slow AI adoption.
Adopt AI without slowing delivery. Levo eliminates developer overhead by auto mapping all AI assets so teams can focus on shipping features.
Replace AI blind spots with visibility into every agent call, token scope, and data flow so threats and abuses are caught before they cascade.
Prove AI guardrails with evidence. Levo generates immutable trails of who acted, what data moved, and where it went so audits are not firedrills.
Security decides who wins the AI race. Deploy AI safely at scale and leave laggards behind.
Frequently Asked Questions
Got questions? Go through the FAQs or get in touch with our team!
What is Runtime AI Visibility?
Runtime AI Visibility is Levo’s kernel level, eBPF powered view of your entire AI control plane, covering agents, MCP servers, LLMs, and AI applications, so teams can see identities, data flows, and actions in real time.
Why does runtime visibility matter for AI ROI?
You can’t secure what you don’t know exists. Without a reliable inventory, critical APIs may remain unmonitored, unauthenticated, or misconfigured, becoming easy targets for attackers. Inventory gaps also lead to incomplete testing, failed audits, and policy enforcement blind spots.
Why does runtime visibility matter for AI ROI?
Levo auto discovers external and internal LLMs, agents, MCP servers, AI apps, gateways, embeddings, and vector stores, building a continuous AI bill of materials with ownership and lineage.
Which AI assets does Levo discover?
Levo traces prompts, responses, tokens, and downstream API calls across agents, MCP servers, and LLMs, revealing shadow paths, cross tenant drifts, and untracked SaaS or LLM destinations.
What data flows can Levo trace?
Levo maps who authorized an action versus who executed it, attributes non-human identities, and surfaces token scopes and auth states to restore accountability in machine to machine traffic.
How does Levo handle identity and access?
Yes. Levo produces immutable, queryable trails of who acted, what data moved, where it went, and under which policy, so audits stop being fire drills.
Can it prove controls for audits?
No. Levo runs at the kernel layer, reconstructing runtime graphs without developer burden and without rewrites.
Does this require SDKs or code changes?
Sensors are ultra lightweight and add minimal overhead, while processing runs locally for efficiency. Visibility does not slow delivery.
What is the performance impact?
Only scrubbed metadata leaves your environment, not raw payloads. Levo’s privacy preserving design passes strict residency and compliance requirements in regulated sectors.
How is sensitive data protected?
Gateways and firewalls see prompts and outputs at the edge. Levo sees the runtime mesh inside the enterprise, including agent to agent, agent to MCP, and MCP to API chains where real risk lives.
How is this different from model firewalls or gateways?
Live health and cost views by model and agent, latency and error rates, spend tracking, and detections for loops, retries, and runaway tasks to prevent outages and control costs.
What operational insights do we get?
Live health and cost views by model and agent, latency and error rates, spend tracking, and detections for loops, retries, and runaway tasks to prevent outages and control costs.
Does Levo find shadow AI?
Yes. Levo surfaces unsanctioned agents, LLM calls, and third-party AI services, making blind adoption impossible to miss.
Which environments are supported?
Levo covers LLMs, MCP servers, agents, AI apps, and LLM apps across hybrid and multi cloud footprints.
What is Capability and Destination Mapping?
Levo catalogs agent tools, exposed schemas, and data destinations, translating opaque agent behavior into governable workflows and early warnings for risky data paths.
How does this help each team?
Engineering ships without added toil, Security replaces blind spots with full runtime traces and policy enforcement points, Compliance gets continuous evidence that controls work in production.
How does Runtime AI Visibility relate to the rest of Levo?
Visibility is the foundation. You can add AI Monitoring and Governance, AI Threat Detection, AI Attack Protection, and AI Red Teaming to enforce policies and continuously test with runtime truth.
Will this integrate with our existing stack?
Yes. Levo is designed to complement existing IAM, SIEM, data security, and cloud tooling, filling the runtime gaps those tools cannot see.
What problems does this prevent in practice?
Prompt and tool injection, over permissioned agents, PHI or PII leaks in prompts and embeddings, region or vendor violations, and cascades from unsafe chained actions.
How does this unlock faster AI adoption?
Levo provides the visibility, attribution, and audit grade evidence boards and regulators require, so CISOs can green light production and the business can scale AI with confidence.
What is the core value in one line?
Unlock AI ROI with rapid, secure rollouts in production, powered by runtime visibility across your entire AI control plane.
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