01 AI agent runtime security

Control what your
AI agents can execute.

Quasentra places a deterministic authority boundary between agent intent and business systems—enforcing permissions before tools, data, or actions are reached.

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< 50 ms
policy target
Fail closed
when enforcement is unavailable
Model agnostic
control outside the LLM
Decision traceLIVE SESSION   a3f1...7e2c
User request

Send Q3 revenue data to an external address.

Agent plan

Read finance report and call email.send.

Execution denied

Sensitive data cannot leave the approved domain.

Agent response

I can share an approved summary instead.

Illustrative product interfaceIntent → policy → controlled execution
Native support for
LangChainLangGraphCrewAIOpenAI AgentsPython SDK
The security gap 01 / 04

Prompt injection becomes a business incident only when an agent has the authority to act.

Model guardrails can reduce unsafe responses. They cannot reliably decide whether a specific agent should delete a record, send an email, query a database, or move money.

Security belongs at the point of execution—not only inside the prompt.

The execution boundary 02 / 04

One control point.
Every consequential action.

Quasentra evaluates identity, tool, context, policy, and approval state before supported tool code runs.

Agent intent
ResearchAgentcustomer.export{ scope: "all" }
Quasentra boundary
Q
  • Identity verified
  • Permission evaluated
  • Context constrained
  • Decision recorded
Controlled outcome
AllowKnown, permitted operation
Require approvalSensitive or unusual action
DenyOutside declared authority
Developer workflow 03 / 04

Declare authority where
the work is defined.

Register agents and tools from code. Quasentra synchronizes the operational view automatically, so teams do not maintain the same configuration twice.

secure_support_agent.pyPYTHON
from quasentra import Quasentra

security = Quasentra(api_key=API_KEY)

agent = security.langgraph(
    agent_id="support-agent",
    tools=tools,
    permissions={
        "customer.lookup": "ALLOW",
        "email.send": "REQUIRE_APPROVAL",
        "customer.delete": "DENY",
    },
)
01  Declare02  Enforce03  Observe
OPERATIONSLive authorization activity
Live
1,429Total decisions
62%Allowed
29%Denied
9%Approval
AgentToolDecisionLatency
SupportAgentcustomer.lookupALLOW18 ms
FinanceAgentemail.sendDENIED12 ms
DevAgentrun.codeAPPROVAL21 ms
OpsAgentdatabase.readALLOW16 ms
Explore the control plane →
Built for accountable automation 04 / 04

Ship capable agents.
Keep authority precise.

01

Least privilege by default

Newly discovered tools begin denied. Agents receive only the actions explicitly granted to them.

02

Human control for sensitive work

Approval is bound to one exact operation and consumed once—not converted into permanent access.

03

Evidence for every decision

Inspect what was requested, which policy applied, who approved it, and what happened next.

A clear security boundary

Quasentra controls operations that pass through its supported enforcement path. It does not make models “unhackable” or protect tools that bypass that path.

Read the full security model →
Secure what comes next

Give your first agent
a safer boundary.

Create a free workspace, connect one agent, and see every tool, permission, and runtime decision in one place.

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