NEW Behavioral detection now covers serverless agents - AWS Lambda & Amazon Bedrock AgentCore - and the MCP tool mesh. See coverage →
Behavioral detection & response for AI agents

Every AI agent
has two identities.

The static one your identity stack assigns - and the Dynamic Identity it earns by how it behaves. FortLine learns the behavioral one across every mission and catches the agent that stops acting like itself.

Off the data path No SDK, no code change Any model, any cloud
LIVE mission behavior
agent: support-copilot · mission #4821
learned baselineanomaly
score 0.04
Anomaly on mission #4821
tool: db.queryscore 0.93
deviationoff-baseline egress
The gap

Most controls approve the action. Almost nothing verifies the behavior.

A prompt-injected, poisoned or drifting agent acts entirely inside its granted permissions - so every gate says yes. The most dangerous agent looks completely authorized.

🔑
Allowed

Identity - the door

Decides which agents may act and what they may touch. Necessary - and it assumes the agent stays itself.

🔒
Enforced

Gateway - the lock

Filters prompts and enforces policy at the chokepoint. Blind to whether the run inside the policy is normal.

👁
Unwatched

Behavior - the cameras

What the agent actually did, step by step, across the whole mission. This is the blind spot FortLine closes.

You want all three. Nobody argued that directory and access control made endpoint detection unnecessary - and because FortLine sits off the data path, it can never slow down, throttle or break an agent. It watches and explains.

See it

Click the anomaly. Read the conversation.

FortLine links every anomaly to the agent conversation that produced it - the prompts, tool calls, reasoning, and the exact step where the mission went off-baseline. Investigation that took an afternoon becomes one click.

A mission going wrong A support copilot normally reads tickets. Today, after a prompt injection, it runs a full-table read of the customer database and ships the result off-domain. FortLine flags the mission the moment it leaves its baseline - and opens the exact conversation that caused it.
See it on your agents
Proof

What "under control" looks like.

Hundreds
behavioral models per mission - all feeding one explainable alert
~0%
false positives - a mixture-of-experts ensemble with majority voting suppresses them, tunable to your risk tolerance
10M+
events analyzed, hundreds of thousands more every day
1 click
from anomaly to the exact conversation that caused it
200+ behavioral features per event
4 levels: event → transaction → session → mission
MoE: SVM · Isolation Forest · autoencoders · VAEs · LSTM
Every layer: LLM · MCP · API · DB · network
Dynamic Identity

An agent has the identity you assign - and the one it earns by how it behaves.

Identity vendors answer who is this agent and what may it do. That is essential, and we build on it. FortLine adds the missing dimension: a learned, living model of how each agent normally behaves - so you can tell when an authorized agent is no longer acting like itself.

Static identity · your IAM / NHI stack

Who the agent is

  • Credentials, roles and permissions
  • What the agent is allowed to access
  • Declared, policy-defined, assigned up front
  • Answers "is this agent authorized?"
Dynamic Identity · FortLine

How the agent behaves

  • A learned baseline per agent, per mission, per step
  • Hundreds of models capture normal behavior
  • Continuously updated as the agent evolves
  • Answers "is this agent still acting like itself?"
The platform

Discover. Baseline. Detect. Drill down.

01

Discover

Inventory every agent, model, MCP server and AI workload across clusters and clouds. Shadow-AI and posture (AI-SPM).

02

Baseline

A self-governing AutoML engine learns each mission's normal behavior - hundreds of models per mission, no rules to write.

03

Detect

Catch drift, goal hijack, tool misuse and rogue behavior in production - the anomaly, not a signature.

04

Drill downSERVERLESS + MCP

Every alert links to the exact conversation, tool calls and reasoning that produced it. One click, not an afternoon.

How it works

From live traffic to the exact conversation that caused it.

Capture happens off the data path - at the kernel with eBPF, or through a transparent gateway for serverless. No SDK, no code change, and zero added latency to your agents.

live traffic LLM · MCP · API · DB capture eBPF + gateway missions hyper-sessions Dynamic Identity 100s of models anomaly drill-down
1. CaptureEvery LLM call, MCP tool call, API and DB query - off the data path.
2. CorrelateStitched into missions and hyper-sessions, the way the agent actually works.
3. BaselineHundreds of models per mission learn the agent's Dynamic Identity.
4. DetectDrift, goal hijack and tool misuse scored in under a second.
5. ExplainEach anomaly opens the exact conversation that caused it.
Coverage

Your agents went serverless and started speaking MCP. So did we.

The same kernel-level capture, Dynamic Identity baselining and explainable detection - now across serverless runtimes and the MCP tool mesh. Any model, any framework, any runtime: one behavioral baseline. No SDK, no code change.

Runtimes

Containerized and serverless agents, captured the same way.

KubernetesAWS LambdaAmazon Bedrock AgentCoreECS / FargateVM / bare metal

Protocols & tools

The full agentic surface, including the tool-use layer prompt-firewalls never see.

MCP tool meshLLM conversations & tool callsREST / gRPC / GraphQLSQL & NoSQL queriesVector DB / RAGFilesystem & shellOutbound HTTP / egressStreaming: SSE / WebSocket

Model providers

Provider-agnostic by construction: we capture below the SDK, so any model works - even ones not on this list. A sample of what partners run:

OpenAIAnthropicAmazon Bedrock / NovaGoogle Gemini / VertexAzure OpenAIMeta LlamaMistralOllama / vLLM

Deployment

eBPF DaemonSet or transparent gateway. Off the data path, by design.

Zero instrumentationNo SDKLive in minutes0 added latency
Standards & frameworks

Mapped to ASI01 through ASI10.

FortLine maps to the OWASP Top 10 for Agentic Applications, with runtime behavioral evidence for the risks that show up in what the agent actually does - goal hijack, tool misuse, memory poisoning and rogue agents (highlighted below).

ASI01
Agent Goal Hijack
behavioral
ASI02
Tool Misuse & Exploitation
behavioral
ASI03
Identity & Privilege Abuse
ASI04
Agentic Supply Chain
ASI05
Unexpected Code Execution
ASI06
Memory & Context Poisoning
behavioral
ASI07
Insecure Inter-Agent Comms
ASI08
Cascading Failures
ASI09
Human-Agent Trust Exploitation
ASI10
Rogue Agents
behavioral
OWASP Top 10 for Agentic Apps Gartner Guardian Agents MITRE ATLAS NIST AI RMF ISO 42001-aligned
Quali
FortLine + Quali. Dynamic Identity baselining is embedded into Quali Torque, so every agent ships with behavioral detection from its first boot - governance at provisioning, not bolted on later.
Read the announcement
Get started

See it on your agents.

Start with free runtime visibility - we will baseline a mission and show you its Dynamic Identity. No SDK, no code change, off the data path.

  • Live in minutes with zero instrumentation
  • Watch us baseline a real mission and catch a planted anomaly
  • Works across Kubernetes, serverless, MCP and any model provider
  • Off the data path - it cannot slow down or break your agents

Get free runtime visibility

Tell us where your agents run. We will be in touch to set up your baseline.
By submitting you agree to be contacted about FortLine. No spam. Prefer email? info@fortline.ai
Securing agentic workloads in production
Design partners across financial services, SaaS and healthcare. Names disclosed under NDA.