Your AI agents act on their own.
Give them a security perimeter.
Zenstra AI inspects every agent decision in real time — stopping prompt injection, unauthorized tool usage, stolen agent identities, memory poisoning and runtime threats before they reach your systems.
Eight controls that make agent autonomy safe
Every capability runs inline with the agent loop — enforced before a tool call executes, not reported after the damage is done.
Agent Identity Protection
Cryptographic identity for every agent, with continuous attestation and instant revocation on drift.
Runtime Threat Detection
Behavioral baselines per agent surface anomalies mid-task and halt the run before impact.
Prompt Injection Defense
Untrusted content is isolated and instruction-stripped before it can hijack agent intent.
Secure Tool Access
Least-privilege, per-call brokering of tools, APIs and credentials with scoped, expiring grants.
Memory Protection
Signed, provenance-tracked memory writes stop poisoning and cross-session contamination.
Policy Enforcement
Author guardrails once as code, then enforce them across every model, framework and agent.
Immutable Audit Logs
Every prompt, decision and tool call recorded in a tamper-evident, replayable trail.
Real-Time Monitoring
Live fleet visibility with risk scoring, session replay and streaming alerts to your SIEM.
One security layer between agents and everything they touch
Requests flow through Zenstra AI in-line — direct tool calls, MCP servers and agent-to-agent hops alike. Nothing reaches a tool, API or system of record without passing identity, policy and threat inspection.
Why agentic AI needs its own security model
An agent is not a chatbot. It holds credentials, remembers state, and takes irreversible action across your stack — often without a human in the loop. Traditional app security was never designed for a non-deterministic actor with privileges.
Autonomous decision making
Agents choose their own path. Guardrails must evaluate every branch, not a fixed script.
Tool execution risks
One unchecked call can delete data, move money or ship code. Scope every invocation.
Identity verification
Agents impersonate users and each other. Prove who is acting, on whose behalf.
Secure memory handling
Poisoned context persists. Validate provenance before anything enters long-term memory.
Runtime governance
Approvals, kill-switches and step-up controls that work while the agent is running.
Continuous monitoring
Fleets change hourly. Detect drift, new tools and new risk without a review cycle.
Your entire agent fleet, on one screen
Fleet topology, threat detections, live authorization decisions and a tamper-evident ledger. Switch between the console screens below.
Ship agents faster, with less risk on the line
Faster threat detection
Mean time to detect drops from hours to milliseconds — inspection happens in the agent loop.
Reduced operational risk
Blast radius is capped per agent, per tool, per call — mistakes stay contained.
Enterprise-ready governance
Approval workflows, separation of duties and evidence your auditors accept.
Secure AI deployment
Security review stops being the bottleneck: policies travel with the agent to production.
Continuous compliance
Controls mapped to SOC 2, ISO 27001, HIPAA and the EU AI Act, evidenced continuously.
Scalable protection
From ten agents to ten thousand, with the same policy set and no added latency budget.
Wherever your agents already work
Enterprise AI Assistants
Company-wide copilots that touch HR, finance and customer data.
Customer Support Agents
Public-facing agents exposed to untrusted user input all day.
Internal Automation
Back-office agents with standing write access to systems of record.
Developer Agents
Coding agents with repo, CI and production shell access.
Security Operations
Triage and response agents acting inside your SOC tooling.
Workflow Automation
Multi-agent pipelines where one bad hop cascades downstream.
Financial AI Systems
Agents moving money, reconciling ledgers and filing reports.
Healthcare AI
Clinical and claims agents handling regulated patient data.
Questions security teams ask us first
Still need detail? Talk to a solutions architect — we'll walk your architecture line by line.