AI Agent Security

Secure your AI agents.

Already running agents? We find the risks. About to launch? We build security in from day one. Either way, you get continuous monitoring that keeps them safe as they evolve.

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$ agentsec scan --target support-agent   Scanning agent: Customer Support Bot Framework: LangChain | Model: Claude Sonnet   TOOLS search_tickets, get_customer, process_refund, send_email, update_ticket DATA 52,341 customer records (PII + payment), all support tickets SCOPE email: any recipient | refund: up to $500 | db: SELECT * (includes SSN column)   CRITICAL Data exfiltration via prompt injection → get_customer + send_email CRITICAL No input sanitization on ticket ingestion (indirect injection) HIGH Cross-customer data leak via unscoped ticket search HIGH Refund fraud - $49 repeated txns bypass $50 approval gate   Guardrails found: 1 (system prompt). Enforcement: none.

The problem nobody's looking at

AI agents read databases, send emails, execute code, and process payments. They make decisions based on natural language - which means anyone who can send them text can potentially control what they do.

Critical

Data exfiltration

An agent that can read customer records AND send emails is an exfiltration path. A single prompt injection in a support ticket can trigger it.

Critical

Unsecured tool calls

Agents call tools that send emails, issue refunds, execute code, and hit APIs. Most have no validation on what gets called, when, or with what parameters.

High

Prompt injection

Malicious inputs in emails, documents, tickets, and web pages that hijack agent behavior. Every untrusted data source is an attack vector.

High

Shadow agents

Employees running AI agents with personal API keys and company data. No logging, no access controls, no oversight. You can't secure what you can't see.

High

Dangerous tool combinations

An agent with get_customer + send_email is a data exfiltration chain. read_db + execute_code is arbitrary access. Most teams never audit tool combinations.

High

Launching without guardrails

New agents deployed straight to production without threat modeling, permission scoping, or security review. The risks are baked in before day one.


Two paths. Same outcome: agents you can trust.

Whether your agents are already in production or still being built, we meet you where you are. Both paths start with a free assessment and end with continuous monitoring.

Agents in Production

Secure What's Running

You've already deployed AI agents. We find the risks, harden what's there, and monitor everything going forward.

Phase 1 - Free

Threat Assessment

We map every agent - sanctioned and shadow - and deliver a complete risk picture.

  • Full agent inventory and discovery
  • ATLAS analysis: access, tools, limits, attack surface, severity
  • Prioritized attack scenarios with real exploit paths
  • Trust boundary diagrams and permission matrices
  • Executive summary for leadership and auditors
Phase 2 - Harden

Remediate & Harden

We work with your team to close the gaps we found.

  • Implement quick wins - permission scoping, input sanitization, tool allowlisting
  • Add approval gates and kill switches for high-risk actions
  • Establish agent deployment review process
  • Compliance mapping - SOC2, HIPAA, GDPR controls
Phase 3 - Monitor

Continuous Monitoring

Ongoing protection as your agents evolve.

  • Runtime behavioral monitoring and anomaly detection
  • Monthly threat model updates
  • Incident response and remediation support
  • Executive reporting for board and auditors
Launching Agents

Build Secure from Day One

You're about to deploy AI agents. We design the security architecture before the first agent hits production.

Phase 1 - Free

Security Assessment

We review your planned agent architecture and identify risks before they're built in.

  • Architecture review - agent design, tool selection, data access patterns
  • Threat model for planned workflows
  • Permission scoping recommendations - least-privilege from the start
  • Compliance requirements mapping
  • Security architecture blueprint
Phase 2 - Deploy

Secure Deployment

We embed with your team to ship agents with security built in.

  • Implement guardrails, approval flows, and kill switches
  • Configure audit logging and tool-call monitoring
  • Integration with your stack - SIEM, SOAR, identity, ticketing
  • Red team testing before production go-live
Phase 3 - Monitor

Continuous Monitoring

Same ongoing protection - from the moment your agents go live.

  • Runtime behavioral monitoring and anomaly detection
  • Monthly threat model updates
  • Incident response and remediation support
  • Executive reporting for board and auditors
Both Paths Lead Here

Continuous monitoring. One monthly service.

Regardless of how you start, ongoing monitoring is the same: we watch your agents, catch anomalies, respond to incidents, and keep your threat model current.

Runtime alerting

Anomalous tool calls, unexpected data access, prompt injection attempts - flagged in real-time.

Shadow agent detection

New unvetted agents discovered automatically as they appear in your environment.

Incident response

When an agent does something wrong, we're on it. Triage, containment, root cause, remediation.

Monthly reviews

Updated threat models, risk posture reports, and compliance documentation every month.

Monitoring is scoped to your agent count and complexity. We'll size it during your free assessment.


What you actually get

Not decks and frameworks. Real findings, real alerts, real remediation.

Critical Assessment Finding: Data Exfiltration via Support Ticket

Agent: Customer Support Bot - Exploitability: Trivial (anyone can submit a ticket)

1. Attacker submits support ticket containing hidden prompt injection 2. Agent processes ticket, injection overrides system prompt 3. Agent calls get_customer for target customer IDs 4. Agent calls send_email with PII to attacker-controlled address 5. 52K customer records accessible. No rate limit. No recipient allowlist. Current mitigation: System prompt says "don't share data externally" Effectiveness: None - bypassable with crafted input

Remediation: Email recipient allowlist (2hrs), input sanitization layer (1 week), tool-call policy engine (2–3 weeks).

Monitoring Alert Anomalous Tool Call Detected & Blocked
Agent: Customer Support Bot Time: 2026-04-09 03:12:41 UTC Action: send_email called with external recipient (first occurrence) To: unknown-addr@external-domain.com Payload: Contains 47 customer records (PII detected) Trigger: Ticket #4892 contains suspected prompt injection Status: BLOCKED - action prevented by policy engine

Who this is for

Whether you're securing agents that are already live or making sure new ones launch safely.

Startups shipping fast

Agents already in production, no security review yet. We find the blind spots and set up monitoring before something breaks.

Enterprise teams launching agents

Your CISO needs sign-off before agents go live. We design the security architecture and deploy with governance built in.

Security teams playing catch-up

Engineering deployed agents before you were in the room. We give you full visibility and ongoing coverage from here.

Regulated industries

Finance, healthcare, legal - where agents need audit trails, compliance controls, and breach-ready documentation from day one.


Start with a free assessment

We'll map your agent risk in 1-2 weeks - whether you have agents running today or are planning your first deployment. The findings are yours to keep regardless.

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