AI Governance for early and enduring AI leadership
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Without strong governance AI built to win customers
at scale ends up driving them away in droves
When actions can’t be traced back to a user or agent, accountability disappears. Tokens sprawl, sessions overlap, and enterprises are left unable to answer the simplest question, who did what?
Prompts, vector stores, and connectors can all carry sensitive data outside governance. Without controls, one insider prompt or unchecked query can leak millions of records in seconds.
Agents drift, swap models, or trigger loops at machine speed. What looks like efficiency quickly becomes runaway tasks, cost overruns, and violations that no team can contain manually.
Most “runtime monitoring” tools add latency, break AI calls, or miss east west traffic altogether. Instead of enabling safe scale, they slow adoption and still leave blind spots open to attack.
Runtime AI governance without manual overhead, latency, or blind spots
Comprehensive AI traffic inspection
Levo inspects traffic end to end across the entire AI Application from agents and MCP servers to LLMs, vector stores, and APIs without adding latency. This holistic view eliminates blind spots, prevents risky instructions from propagating laterally, and proves governance across the full AI control plane.
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AI anomaly detection (behavior & drift)
Levo detects sudden model switches, unexpected tool usage, or excessive token consumption before they escalate. This gives teams early warning, operational stability, and alignment with compliance controls.
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Insider threat detection
Sensitive data leakage through prompts is one of the top concerns for SOCs and regulators. Levo surfaces potential insider abuse, whether intentional exfiltration or accidental misuse. This prevents AI channels from becoming a new path for PHI, PII, or PCI exposure.
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Levo unites every team to defend against the biggest risk obsolescence from slow AI adoption.
Adopt AI without slowing delivery. Levo auto maps agents, MCP servers, LLMs, and flows reducing manual toil and keeping innovation velocity high.
Replace blind spots with full visibility into agent calls, scopes, and data flows. Prevent cascading failures by detecting anomalies and enforcing guardrails at runtime.
Rely on immutable trails of who, what, and where across every AI interaction. Audits become routine instead of war rooms, with evidence available on demand.
Automatically Enforce Governance Everywhere It Matters
Frequently Asked Questions
Got questions? Go through the FAQs or get in touch with our team!
What is AI Runtime Monitoring and Governance with Levo?
Levo provides governance in production by passively observing AI traffic with an eBPF sensor, detecting risks in real time across AI agents, AI APIs, MCP servers, LLMs, and RAG.
Why do enterprises need runtime governance for AI?
Pilots stall when unmanaged risks erode trust with CISOs and regulators. Governance at runtime restores control, so AI can move from pilot to production with confidence.
What risks does Levo focus on?
Identity blindness, data exposure and insider abuse, unpredictable or unsafe behavior such as drift and loops, and vendor gaps that add latency or miss east-west traffic.
What exactly does Levo monitor?
End-to-end AI application traffic, from agents and MCP servers to LLMs, vector stores, and downstream APIs, without adding latency or breaking calls.
How does Levo avoid latency and blind spots?
Levo inspects traffic passively at runtime, so there is no manual overhead, no added latency, and complete visibility across the AI control plane.
How does Levo address identity blindness?
Levo traces actions back to the actor, maps tokens and sessions, and answers the core question of who did what, bringing accountability to machine to machine flows.
How does Levo prevent data exposure and insider abuse?
Levo surfaces sensitive data leakage in prompts, vector stores, and connectors, detecting potential insider misuse or accidental exfiltration before it spreads.
Can Levo detect agent drift or unsafe behavior?
Yes. Levo flags sudden model switches, unexpected tool use, excessive token consumption, loops, and other anomalies early, helping teams stabilize operations.
What is Policy as Code in Levo?
Teams codify rules such as “No PHI to non US models,” and Levo enforces them automatically at runtime, aligning development, security, and compliance.
Can policies integrate with CI/CD workflows?
Yes. Policy as Code embeds governance into delivery pipelines so guardrails stay current as apps evolve.
Do you provide industry templates?
Yes. Out of the box monitoring packs speed time to value for compliance heavy sectors like BFSI and healthcare, for example PHI to LLM leakage templates.
How does Levo support audits and regulatory reviews?
Levo maintains immutable trails of who acted, what moved, and where it went, so audits become routine rather than war rooms.
What is risk scoring for agents and flows?
Levo assigns runtime risk scores to each agent, model, and session based on sensitivity, anomalies, and drift, turning raw telemetry into clear, business level indicators.
How does this help Engineering, Security, and Compliance?
Engineering ships faster with less manual toil, Security replaces blind spots with anomaly detection and runtime enforcement, Compliance gets on-demand evidence that controls work.
Does Levo work across our AI stack, including third party tools?
Yes. Levo covers agents, MCP servers, LLMs, vector stores, RAG, and APIs across interconnected workflows in production.
How does Levo handle vendor limitations in other tools?
Where others add latency or miss east west traffic, Levo’s passive runtime approach provides holistic inspection without breaking calls.
What outcomes should we expect?
Faster production rollouts, reduced data leakage and insider risk, fewer runaway tasks and cost overruns, and simpler, evidence backed compliance.
How quickly can we get value?
Monitoring packs and runtime policies accelerate deployment, so teams can demonstrate control and move pilots into production sooner.
What is the UVP in one line?
AI governance for early and enduring AI leadership, enabled by runtime monitoring with Levo’s eBPF sensor.
How do we get started?
Automatically enforce governance everywhere it matters. Deploy Levo to observe runtime traffic, apply Policy as Code, and ship AI safely at scale.
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