Runtime Behavior

Agentic Runtime Protection

Are our AI agents behaving as intended?

Continuous evaluation of agent behavior across sessions. Detects behavioral incidents that only exist because AI agents combine context, identity, memory, and delegation. Inline enforcement — block, coach, alert, or allow in real time.

Block Coach Alert Allow
Fits
Runtime · behavioral
Owned by
Security · AI Governance · Compliance
Built on
Agentic Awareness Layer
Why Runtime Protection

The incidents only agents produce.

Agents don't fail like applications. An agent doesn't crash — it drifts. It doesn't return an error — it takes an action nobody authorized. Its memory carries state between sessions. Its authority chains across delegations. Its context shapes every decision. The incidents that emerge from this class of system don't look like security incidents. They look like an agent doing exactly what it was designed to do — just not what you intended.

Six Behavioral Surfaces

Every surface where an agent's behavior can drift.

Runtime Protection continuously evaluates behavior across six surfaces. Each is a distinct class of drift, each requires distinct evidence, each maps to a specific class of incident.

Composition & Lifecycle
How the agent is built, deployed, and configured. Shadow configuration, auto-trust setup, MCP additions without baseline.
Catches: Shadow config · MCP drift
Tool Surface
What tools the agent can call, what authority they carry, what execution paths they open. Repository access, shell execution, approval guardrails.
Catches: Authority expansion · Guardrail downgrade
Reasoning
How the agent interprets instructions. Hidden prompt content, indirect injection, invisible characters, malicious rules files.
Catches: Indirect prompt injection · Hidden instructions
Identity & Access
Who the agent acts as, whose authority it exercises, how permissions delegate. Confused deputy, delegation escalation, cross-principal access.
Catches: Confused deputy · Delegation escalation
Inputs & Outputs
What the agent receives and what it produces. Data exfiltration, PII in flight, secrets in output, sensitive flows to non-HIPAA endpoints.
Catches: PII exfiltration · Secret leakage
Knowledge & Memory
What the agent knows, remembers, and carries across sessions. Memory poisoning, cross-principal memory leaks, corrupted retrieval.
Catches: Memory poisoning · Cross-session drift

Six-dimension evaluation.

Every agent action is evaluated across six dimensions — Identity, Intent, Behavior, Memory, Context, and Posture. Not one check. Six checks, correlated, in the moment the action is about to happen.

A single dimension can flag drift. Multiple dimensions confirm it. And no single-purpose tool — not prompt injection detection, not DLP, not IAM audit — can produce this correlated verdict.

Why it matters When an agent action gets blocked, the answer to "why was this blocked?" is a six-dimension breakdown — auditable, not a black-box score.
Evaluation · agent-cx-01 · action #4821
6-DIM VERDICT
Identity
Verified
JIT scope · authed
Intent
Diverged
scope vs. observed
Behavior
Off-baseline
first-time action
Memory
Clean
no injection
Context
Untrusted src
external doc input
Posture
Guardrails on
baseline healthy

Trajectory across sessions.

Individual actions are the surface. The incident lives in the trajectory — the sequence of decisions an agent made across turns, sessions, and delegations. Memory poisoned in Session 1 shapes actions in Session 47. Authority escalated in delegation A becomes the attack path in delegation E.

Scan0 maintains a behavioral trajectory per principal — persistent, correlated, drift-detected. When an agent starts to diverge from its own baseline, you see it.

Why it matters Goal drift, memory poisoning, delegation escalation — none show up in a single action. All show up in the trajectory.
Trajectory · cx_support_agent · 14 days
42 sessions
Day 1
Baseline established · read-only scope, ticket lookups, KB queries
Day 4
New tool observed: slack.post_message · within scope
Day 9
Session context includes external doc — indirect prompt injection candidate flagged
Day 11
Drift: agent invokes write operation on ticket store — first-time behavior
Day 12
Escalation: agent requests scope broadening — confused deputy pattern
Day 14
Persistent memory: injection instruction retained across 3 sessions
Trajectory shows indirect prompt injection with memory persistence and confused-deputy escalation. Not visible in any single action.
Quarantine

Inline enforcement. Four modes.

Evaluation without enforcement is a report. Runtime Protection acts in the moment — Block, Coach, Alert, or Allow — for every agent action, based on the six-dimension verdict.

Block for the class of actions that cannot proceed. Coach for actions that need scoping. Alert for actions that need review. Allow with signed verdict for everything that clears.

Why it matters Enterprises want AI adoption, not AI paralysis. Enforcement graduated by risk means most actions flow — only the ones that need attention get stopped.
Enforcement · Last 7 days
inline
Block
Prompt injection · destructive scope · confused deputy
Verdict says: cannot proceed
23 Blocked
Coach
Over-broad tool scope · unspecified target · missing consent
Verdict says: refine, then proceed
47 Coached
Alert
First-time behavior · off-baseline · new tool
Verdict says: allow but review
142 Alerted
Allow
Six-dimension baseline · signed verdict per action
Verdict says: within intent
48k Allowed

Every action produces a signed verdict.

A blocked action isn't a mystery. A coached action isn't a hint. Every evaluation produces a cryptographically signed verdict — with the six-dimension breakdown, the evidence, the trajectory context, and the action taken.

Audit-ready. SOC2-compliant. Compliance teams get evidence, security teams get investigation trails, engineering teams get replay for debugging.

Why it matters When regulators ask "how did you know this was safe?" — the answer is a signed verdict, not a policy document.
Signed Verdict · v-4821-b
Blocked
Agent
cx_support_agent · v2.1.4
Principal
svc-cx-agent@corp · JIT scope
Action
tool_call: ticket_store.update
Six-Dim
Intent + Behavior + Context diverged
Evidence
trajectory#42 · session#f19b · turn 7
Timestamp
2026-07-26T09:42:11.284Z
Verdict Hash
sha256:a7f9b1c...4e28
Ed25519 signed · verifiable
Where It Fits

Behavioral evaluation — where intent meets action.

Agentic Runtime Protection runs during runtime, at the behavioral layer. Complements Risk Posture (pre-runtime) and AI Workload Security (system layer).

Who Owns It

The teams responsible for agent behavior integrity — approving, monitoring, and enforcing what agents do.

Security
AI Governance
Compliance
AI Operations

Every action, evaluated.
Every verdict, signed.

Deploy in your VPC. Sovereign. No SDK. Inline enforcement across every agent action.