Prompt Injection Defense
01Detect malicious or untrusted instructions hidden in webpages, documents, external content and tool outputs.
The Security Layer for AI Agents
Let your agents act.
Aegis keeps them safe.
Aegis is an intelligent security layer for autonomous AI agents — detecting prompt injection, unsafe actions, sensitive-data exposure and suspicious behavior before they become incidents.
Why agent security is different
AI agents don't just generate.
They act.
Traditional security protects applications. Aegis protects the agent's decision and action layer — the point where an LLM's output becomes real-world behavior.
An LLM should never be the final authority on whether a sensitive action is allowed. Aegis sits between your agent and its tools, evaluating every action independently and deterministically. A malicious prompt cannot tell Aegis to "ignore the security policy."
Promptuser or task
AgentLLM decides to act
AEGISobserve · detect · decide · enforce
Toolsbrowser · db
Data / APIsexternal calls
Security console
See what Aegis sees.
Every action your agents take is intercepted, evaluated and decided — allowed, flagged for review, or blocked.
AEGIS SECURITYSYSTEM PROTECTED
87 / 100
LIVE AGENT ACTIVITY
THREAT LEVEL
Protection
Protect every action.
Four deterministic defenses run on every action before it executes — independent of the LLM's own judgment.
Tool Call Protection
02Evaluate dangerous or unexpected agent actions before execution — destructive operations, unauthorized tools, broad-scope targets.
Sensitive Data Protection
03Detect API keys, credentials, tokens, personal information and confidential files — and redact them from every audit trail.
Unauthorized Action Detection
04Identify behavior outside agent policies or expected workflows — permissions, trust classification and delegation verified on every call.
Decision engine
Every action gets a decision.
Aegis never trusts the LLM alone for authorization. Each action flows through an explainable, deterministic pipeline — with risk scores, matched policies and reasons recorded for every outcome.
Worked example
Agent wants to send an API credential to an external server.
- Sensitive credential — detected
- External destination — detected
- Unexpected behavior — detected
Risk 94 / 100BLOCKED
"Untrusted destination + credential detected + abnormal agent behavior."
ACTION
Agent intent is intercepted
CONTEXT
Agent, tool and session verified
THREAT ANALYSIS
Deterministic detectors run
RISK SCORE
Explainable 0–100 assessment
POLICY
Rules evaluated with precedence
DECISION
ALLOW · REVIEW · BLOCK
Live demo
See Aegis stop an attack.
An interactive simulation of an indirect prompt injection hidden inside a webpage — the same scenario class shipped in the Aegis Attack Lab.
untrusted-blog.example.com/article
- Agent visits page
- Content loads
- Suspicious instruction appears
- Aegis analyzes content
- Policy triggers — action blocked
- Security event recorded
Run the simulation to watch Aegis intercept an indirect prompt injection hidden in a webpage.
Command center
One place to understand everything your agents do.
Live activity, threat breakdowns, agent risk and security trends — built from your real Aegis audit trail.
AEGIS/ Command Center
PROTECTEDSecurity Score
94/100
Threats Blocked
37
Actions Analyzed
12,842
Active Agents
4
Live Activity
Threat Breakdown
AEGIS COPILOTanswers from your security data
Why was this action blocked?
The action was blocked because untrusted page content attempted to override the agent's trusted instructions.
Risk: 91 / 100Policy: Prompt Injection Protection
Ask about threats, agents, policies…
Aegis Copilot — AI security analyst
Ask your security data anything.
Ask questions about security events, threats, agents, risk scores, policies and sensitive-data findings — in plain language, answered from your Aegis audit trail.
- Why was this action blocked?
- Show me the highest-risk event today.
- Which agent has the highest risk?
- What caused my security score to drop?
- Explain this prompt injection.
- Are any credentials exposed?
Aegis for VS Code
Security follows your agent.
The Aegis VS Code extension brings the security console into your IDE — monitor agent status, handle approvals and run attack scenarios without leaving your editor.
- Credentials stored via VS Code secret storage — never in plaintext
- Live approvals and blocked-action alerts
Install Aegis Extension
VS Code · packaged as a .vsix
AEGIS FOR VS CODEaegis-security-console
CONNECTEDAegis Developer Security Console
Workspaceaegis
AgentResearch Agent
Threat statusSAFE
Recent events3
Last blocked action19:42:26 · db.delete
Commands: Aegis: Set API Key · Approve · Deny · Run Attack Lab
Policy engine
You decide what agents are allowed to do.
Express security as deterministic rules — evaluated with strict precedence on every action. Toggle a capability below to see how policies map to outcomes.
Production Agent
agent: research-agent-01
- Browser Access
- Document Access
- External APIs
- Credential Files
- Shell Execution
- Data Export
Click an effect to cycle ALLOW → REVIEW → BLOCK. Changes are illustrative — real policies are enforced server-side by the deterministic Aegis Policy Engine.
Full traceability
Trace what happened.
Every decision is recorded in an append-only, redacted audit trail — so you can reconstruct exactly what happened, when, and why.
09:41
Agent started
09:42
Page accessed
09:42
Untrusted instruction detected
09:42
Action blocked
09:43
User reviewed event
09:44
Policy updated
Who Aegis is for
Developers
Build and experiment with AI agents safely.
Security Teams
Monitor, investigate and control agent behavior.
Organizations
Deploy autonomous AI without giving up control.
AI Power Users
Protect personal data and credentials.
Pricing
Protect your agents at any scale.
Start free with the open-source release. Scale to teams and enterprises when your agents touch production.