Reasonlayer — AI Security Platform

Autonomous AI Needs New Security

Traditional solutions were built for humans. AI agents run continuously, perform thousands of actions, and interact across many systems.

of enterprises use AI agents with no dedicated security

Okta AI at Work 2025

increase in AI-targeted attacks year over year

OWASP 2025 Report

of LLM deployments are vulnerable to prompt injection

Gartner Research

report credential exposure through AI agents

Okta AI at Work 2025

The AI Threat Landscape

New Technology. New Attack Surface.

AI systems introduce fundamentally different vulnerabilities that traditional security tools weren't built to detect. These are the risks your organization faces today.

Prompt Injection

Stolen credentials, secrets, and customer data.

Data Exfiltration

Leaked PII, training data, and proprietary IP.

Jailbreak Attacks

Unlocked harmful capabilities and broken safety constraints.

Agent Hijacking

Unauthorized actions, lateral movement, and system takeover.

Model Manipulation

Corrupted outputs, hidden backdoors, and degraded accuracy.

Supply Chain Compromise

Backdoored models, poisoned plugins, and compromised dependencies.

Shadow AI

Blind spots, compliance violations, and unmonitored risk.

Identity & Access Abuse

Credential theft, privilege escalation, and unauthorized API access.

Platform

Identity, Access, and Oversight for AI Agents

Reasonlayer gives every AI agent a dedicated identity, fine-grained access controls, and human approval workflows — so enterprises can deploy autonomous agents without compromising security.

Separate Agent Identity

Agents shouldn't operate under human credentials. Separate identities enable clear permissions, auditing, and accountability for every AI agent.

Strict Access Controls

Agents with access to internal systems require strict access controls. Define exactly what agents are allowed to do across APIs, tools, and data sources.

Human Approval Flows

Human approval flows are critical for sensitive agent operations like sending emails, deleting records, or triggering transactions. Execution pauses until a reviewer approves.

Reasonlayer

Console

Dashboard

Agents

Policies

Audit Log

Policy Engine

24 Active

3 Draft

2 Disabled

New Policy

Production Agent Guardrails

Active

Applied to: 12 agents

Last triggered: 2 min ago

WHEN agent.environment = "production"
AND  action.type IN ["tool_call", "api_request"]
THEN

  IF action.target CONTAINS ["exec", "eval", "shell"]
    → BLOCK and alert security team

  IF action.accesses_data WITH classification = "PII"
    → REQUIRE human approval

  IF reasoning_chain.length > 10 steps
    → FLAG for review

  IF output MATCHES credential_pattern
    → REDACT and log

Policy Library

OWASP LLM Top 10 Coverage

SOC 2 Compliance Pack

Agent Least-Privilege Template

PII/PHI Protection Rules

Prompt Injection Defense

Multi-Agent Trust Boundaries

Policy Impact — Today

Evaluations

847

Blocks

Escalations

Passes

812

OpenClaw

Purpose-Built for Autonomous AI

OpenClaw is Reasonlayer's dedicated framework for securing autonomous AI agents — systems that plan, reason, use tools, and take actions in the real world.

Behavioral Guardrails

Define boundaries for agent actions.

Reasoning Trace Audit

Inspect every reasoning step and decision path.

Tool-Use Sandboxing

Isolate and validate every tool call.

Human-in-the-Loop Policies

Pause execution for human review on high-risk actions.

Multi-Agent Orchestration

Secure inter-agent communication and trust boundaries.

Reasonlayer

Console

Dashboard

Agents

Policies

Audit Log

Agent:

research-agent-02

Status:

Active

Framework:

CrewAI

Model:

Claude 3.5 Sonnet

Risk Score:

72/100

Reasoning Trace

Live

Received task

"Find Q4 revenue data for competitor analysis"

Planning

Identified 3 data sources

Tool call:

web_search("Q4 2025 revenue reports")

Allowed

Tool call:

file_read("/data/internal/financials.csv")

Flagged

Policy: "No access to /data/internal/* without approval"

Action: Paused -- awaiting human review

Tool call:

database_query("SELECT...")

Allowed

Generating response

PII scan: Clean

Security Policies Applied

Block filesystem access outside /data/public/

PII/credential scan on all outputs

Max 5 tool calls per reasoning chain

Human approval for external API calls

Block code execution tools

Behavioral Boundaries

Tools

read

write

execute

Data

public

internal

secrets

Network

internal

external

raw sockets

How It Works

Deployed to Fit Your Stack. Secured in Real Time.

Integrate Reasonlayer into your AI stack with minimal code changes. Start securing your autonomous agents immediately.

Connect

Integrate with your AI infrastructure via SDK, API gateway, or proxy. Support for all major LLM providers and agent frameworks.

Assign Identity

Give every agent a dedicated identity with scoped permissions. Every action is logged, creating a clear audit trail for security and compliance.

Enforce Policies

Define what agents can do across APIs, tools, and data sources. Set human approval flows for sensitive operations. Deploy with confidence.

Secure AI Agents Across Your Systems.

Autonomous AI Needs New Security

New Technology. New Attack Surface.

Prompt Injection

Data Exfiltration

Jailbreak Attacks

Agent Hijacking

Model Manipulation

Supply Chain Compromise

Shadow AI

Identity & Access Abuse

Identity, Access, and Oversight for AI Agents

Separate Agent Identity

Strict Access Controls

Human Approval Flows

Purpose-Built for Autonomous AI

Behavioral Guardrails

Reasoning Trace Audit

Tool-Use Sandboxing

Human-in-the-Loop Policies

Multi-Agent Orchestration

Deployed to Fit Your Stack. Secured in Real Time.

Connect

Assign Identity

Enforce Policies

Works With Your AI Stack

Deploy Autonomous AI Agents Without Compromising Security