01 Overview
02 The ADLC
03 Pillars
04 Platform
05 Use cases
Security control plane for autonomous agents

Bringing clarity to agentic AI chaos — securing the agent lifecycle.

SecurePlane secures every autonomous agent before, during, and after it runs — through the ADLC, the Secure Agent Development Lifecycle. One plane: scan, identity, detection & response, intelligence, and continuous assurance — across any framework, toolchain, or orchestration layer.

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✓ Scanned before deploy (HYDRA) ✓ Real-time detection, response & forensics ✓ Continuous red-team assurance
0
% tool-poisoning attack success rate against unprotected agents in benchmarks.
Unprotected agents 72.8% compromised (Softwareanalyst.io)
Live security posture
Agent telemetry → detection → response → trust
Press R to rotate scenarios

The ADLC — Secure Agent Development Lifecycle.

What SSDLC did for software, the ADLC does for agents: security shifted into every stage of an agent's life — not bolted on after an incident. SecurePlane runs the whole loop on one plane.

3 pillars · 5 stages ADR AVI ATI
01
Scan
Pre-flight every agent before production — static analysis, behavioral sandbox, IOC matching, risk score + SBOM.
ADR + ATI · HYDRA scan
02
Identify
Issue each agent a cryptographic identity at registration, with continuous trust scoring and inheritance.
AVI · Trust Chain
03
Detect & Respond
Real-time detection, inline prevention, quarantine — plus full forensics and session replay for every decision.
ADR · + Forensics
04
Hunt
Agent-native threat intelligence — IOCs, jailbreak signatures, fingerprints — enriched by cross-org sharing.
ATI · AI-ISAC
05
Assure
Continuously red-team your live agents against OWASP Agentic Top 10 and feed findings back into Scan.
ADR + ATI · Red Team
↻ Assure feeds back into Scan — a continuous loop, not a one-time gate.

Three pillars span all five ADLC stages.

ADR, AVI and ATI are the product cores that cover the entire lifecycle. HYDRA pre-flight scanning, SOAR response, and continuous red teaming are how those pillars are delivered — not separate products.

ADR
ADLC stages 01 · 03 · 05

Detection, Response & Forensics

Behavioral monitoring, anomaly detection, prompt-injection & tool-abuse controls — enforced in real time, with full forensic replay.

Session + conversation audit trails & replay
Sub‑100ms intervention: block / modify / quarantine
SOAR playbooks + SIEM/SOAR integrations
AVI
ADLC stage 02

Agent Verifiable Identity

X.509‑style identity for agents with continuous trust scoring and attestation for model + runtime integrity.

Certificate lifecycle: issue / rotate / revoke
Trust inheritance in multi‑agent workflows
Federated identity for B2B agent interactions
ATI
ADLC stages 01 · 04 · 05

Agent Threat Intelligence

IOCs for malicious prompts, jailbreak patterns, attack chains, and behavioral fingerprints — tuned for agents.

IOC matching + reputation scoring
Threat actor profiling & campaign tracking
Community feeds & shared learning
Delivered through: HYDRA pre-flight scan SOAR response playbooks Red Team continuous assurance

Agent Operations Center.

Every agent, session, policy and detection in one investigation view — updated in real time.

Open the full platform tour →
app.secureplane.ai/soc SecurePlane / SOC View LIVE
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1,284Agents
3.1KTools
412Workflows
906Data sources
128Access channels
147Policies
2.4MSessions / day
Sessions — last 24h
↗
Findings & detections
↗
31824h • 5 critical
Policy coverage
98.2%
141 of 147 policies in prevention • health 96.4%
Agents by severity
18 Critical 47 High 664 Med 421 Low
Top agent owners
PBpayments-platform31%
ITit-ops-swarm24%
CSsupport-assist18%
GVgov-portal14%

Architecture built for scale.

Instrument once. Enforce everywhere. The same ADLC stages — Scan → Identify → Detect & Respond → Hunt → Assure — across SaaS, dedicated cloud, on‑prem, or hybrid, with OpenTelemetry‑style events.

ADLC control-plane flow
Scan → Identify → Detect → Respond → Forensics → Hunt → Assure
agent‑agnostic
SDK / Gateway ├─ capture: inputs, outputs, tool calls, memory events ├─ enrich: org, agent_id, cert_id, trust_score └─ stream: kafka / http / otel Detection & Policy ├─ signatures: jailbreak / injection / exfil / tool abuse ├─ ML: baseline + anomaly + similarity ├─ policy-as-code: allow / block / modify / throttle └─ correlation: multi-agent trust chain Response & Forensics ├─ alerting: siem / slack / pager ├─ actions: quarantine / revoke / kill / rollback ├─ replay: session timeline + chain reconstruction └─ evidence: hashes + custody chain
Deployment models
SaaS Fastest time‑to‑value with managed updates and scaling.
Dedicated cloud Single tenant with customer‑managed keys + residency controls.
On‑prem / air‑gapped Designed for defense & highly regulated environments.
Hybrid Cloud intelligence with local enforcement for sensitive workloads.
Integrations: LangChain, LlamaIndex, CrewAI, AutoGen, OpenClaw, Bedrock, Vertex AI, Azure OpenAI — plus custom via events.

Use cases that buyers understand.

SecurePlane plugs into existing security teams: prevention, detection, incident response, and audit evidence — for agents.

🏦 Financial services

Pre‑deployment gating + audit trails

Block unsafe agents in CI/CD, continuously verify identity & trust, and produce regulator-ready evidence for every agent decision.

🏛️ Government & defense

Air‑gapped enforcement

Hardware-backed attestation, strict policy enforcement, and forensics in classified environments — without cloud dependencies.

🏥 Healthcare

Protect data + integrity of recommendations

Detect abnormal diagnostic patterns, prevent data leakage, and trace every recommendation to a verified agent identity.

Want the SecurePlane demo environment?

Get a walkthrough of runtime enforcement, trust scoring, forensics replay, and attack simulation.