AI-Native Security Platform

Intelligent Agents for Modern Security Teams

Today's security was built for humans. We built ours for AI agents — autonomous systems that call APIs, spawn sub-agents, and access data at machine speed. Legacy tools are blind to them. We're not.

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Live: Monitoring agent activity
NIST AI RMF aligned
DPDP Act ready
SOC 2 controls
$4.4 M
global average cost of a data breach in 2026 (IBM)
87%
of organisations report AI-driven cyber incidents in the past 12 months
44%
of all breaches now involve ransomware (Verizon DBIR)
$240 B
global cybersecurity spend in 2026 (Gartner)

See it in action.

Monitor, audit, and govern every AI agent across your stack from a single command center.

From live agent traces to policy enforcement to incident response — all in real time.

console.blackbead.ai/agents/monitoring

Agent Monitoring

Real-time observability across all AI agents in production

Last 24h
7d
30d
Overview
Traces
Policies
Audit Log
Active Agents
147
12 spawned in last hour · ↑ 8%
Policy Blocks (24h)
23
3 critical · 20 advisory
Anomaly Score
2.4
Baseline · all agents healthy

Agent Calls per Minute

4,238 API calls observed across 147 agents

00:0006:0012:0018:00NOW

Latency by Agent Class

P50 (solid) and P95 (dashed) over time

00:0006:0012:0018:00NOW

Live Agent Traces

Streaming actions from all monitored agents — last 30 seconds

LIVE
Overview
Traces
Policies
Audit Log
14:02:17.221[AGT-7]api.payments.list(limit=100) → 200 OK · 24ms
14:02:17.518[AGT-12]vector.search(query="customer churn") → 200 OK
14:02:18.103[AGT-7]api.payments.list(limit=100) → 200 OK · 19ms
14:02:18.402[AGT-3]llm.chat.completions(model=gpt-4) → 200 · 1.2s
14:02:18.998[AGT-7]api.payments.list(limit=1000) → 200 OK · 41ms
14:02:19.221[AGT-7]spawn → AGT-7.child.exfil() · privilege escalation detected
[BB-POLICY]least-privilege violation · agent quarantined · audit.write()
[BB-AUDIT]incident IR-4471 created · NIST AI RMF · human-in-loop notified
[BB-OK]system stable · 146 agents healthy · 1 quarantined

Policy: prod-payments-agents

Declarative guardrails enforced at the action level

● Active
Edit
Overview
Traces
Policies
Audit Log
# Blackbead policy — agent runtime guardrails policy: "prod-payments-agents" applies_to: "agents:payments:*" rules: - action: "api.payments.list" rate_limit: 100 # calls/min max_records: 500 - action: "agent.spawn" require_approval: true approver: "role:security-lead" - action: "data.export" block: true reason: "Exfiltration risk · escalate to HITL" audit: trail: "nist-ai-rmf" retain_days: 2555

Active Incident: IR-4471

Privilege escalation detected · awaiting human review

● CRITICAL
Overview
Traces
Policies
Audit Log
⚠ Privilege escalation: AGT-7 → child.exfil
14:02:19 UTC · 3s ago
Agent AGT-7 (payments-orchestrator) attempted to spawn an unauthorised sub-agent with elevated data export permissions. Blackbead policy prod-payments-agents blocked the action and quarantined the parent agent. No data left the perimeter.
Attack Class
Agent Privilege Escalation
Framework Mapping
MITRE ATLAS · NIST AI RMF
Time to Block
14 ms
TimeAgentActionStatusSeverity
14:02:19 AGT-7 spawn(child.exfil) — unauthorised privilege Blocked CRITICAL
14:02:14 AGT-12 data.export(s3://customer-pii) — quota exceeded Review HIGH
14:01:58 AGT-3 llm.chat.completions(temp=1.4) — guardrail check Passed LOW

Three layers. One mission.

Purpose-built security for organisations adopting AI agents — without rip-and-replace of the systems you already run.

01 / Legacy Defence

Protect legacy assets with AI agents.

Deploy intelligent agents that continuously monitor, assess, and harden your existing infrastructure against AI-powered threats. No rip-and-replace.

Continuous Monitoring Threat Detection Legacy Hardening
02 / Agent Security

Secure the AI agent ecosystem.

Security layer for agent architecture — identity management, least-privilege enforcement, behavioural anomaly detection, and full NIST AI RMF audit trails.

Agent Identity Behavioural Monitoring Compliance Trails
03 / LLM Engineering

LLM design & prompt engineering.

Architect LLM solutions — model selection, fine-tuning, prompt engineering frameworks, guardrails, and evaluation pipelines that hold up in production.

LLM Architecture Prompt Engineering Guardrails & Evals

AI agents don't type. They act.

They call APIs. Spawn sub-agents. Access data. Move at machine speed across systems that were never designed to authenticate non-human actors. Your SIEM was built to flag a suspicious login — not an agent making 4,000 legitimate-looking API calls per minute.

We monitor agent behaviour, enforce least-privilege at the action level, and produce the audit trail your regulator will ask for.

14:02:17[AGT-7]api.payments.list() · 200
14:02:17[AGT-7]api.payments.list() · 200
14:02:18[AGT-7]api.payments.list() · 200
14:02:18[AGT-7]api.payments.list() · 200
14:02:19[AGT-7]spawn → AGT-7.child.exfil
14:02:19[BB]policy=least-priv · BLOCKED
14:02:19[BB]audit-trail.write() · NIST AI RMF
14:02:20[BB]human-in-loop · escalated

Built for the regulations your board will ask about.

From NIST AI Risk Management in the US to the EU AI Act in Europe, our controls map cleanly to the frameworks that matter — wherever you operate.

NIST AI RMF
Govern, map, measure, manage — the four functions mapped to runtime controls.
EU AI Act
High-risk AI obligations — audit trails, human oversight, transparency.
SOC 2 Type II
Controls audited against security, availability, and confidentiality.
ISO 27001 & 42001
Information security and AI management systems aligned to ISO standards.
OWASP LLM Top 10
Prompt injection, data leakage, supply chain — covered by design.
GDPR
EU data protection — purpose limitation, data minimisation, audit trails.
MITRE ATLAS
Adversarial threat landscape for AI systems — detection mapped end-to-end.
Regional Frameworks
DPDP (India), PIPL (China), CCPA (US), RBI & SEBI sector guidelines.

Legacy security can't see what agents do.

The vendors you already pay were built for a world where threats came from humans clicking phishing links. That world is over.

Legacy cyber vendors

  • Built for human users — fail silently when agents act
  • Identity systems can't model non-human principals
  • SIEM rules drown in agent telemetry volume
  • No audit trail mapping to NIST AI RMF
  • Months-long deployments, heavy consultancy overhead

Blackbead.ai

  • AI-native from day one — agents are first-class principals
  • Behavioural baselines for every agent and sub-agent spawned
  • Least-privilege enforced at the action, not the user, level
  • Audit-ready trails for NIST AI RMF, EU AI Act, and global frameworks
  • Founder-led delivery. Our reputation rides on every engagement.

Jump straight into a working surface.

You're signed in. Pick a surface to start — every tile below is live in this environment.

01Playground

Agents

Talk to every Blackbead agent — VulnCheck, Microsoft Copilot, Cisco DNAC, Payment Fraud, DeepFake, and General Security. Streaming chat, full session memory.

Open agents →
02Monitor

AgentCop

Real-time agent oversight. PII, SPI, credentials, and OWASP LLM Top 10 findings scored across every request. Audit log, compliance reports, live dashboard.

Open AgentCop →
03Graph

Intelligence

The security knowledge graph and Identity Management Service dashboard. Map non-human identity, pivot through TTPs, and trace agent activity end-to-end.

Open intelligence →
04Advisors

Jarvis

Five personal security advisors — SOC Analyst, Threat Hunter, Security Engineer, Architect, and CISO. One product, role-aware prompts, distinct tool allowlists.

Open Jarvis →
05Workflows

Canvas

n8n-style workflow builder. Wire agents, connectors, and logic into runnable pipelines. Live execution with per-node output and tracing.

Open canvas →
06Admin

Admin

Approve registrations, manage users, review environment configuration, inspect logs. Admin password required.

Open admin →

Ready to secure the agents already running in your business?

We're taking on a small number of pilot engagements with BFSI, fintech, and enterprise teams deploying AI agents. Founder-led. No bloated consultancy overhead.

— Get in touch

Request a private briefing

30 minutes with the founding team. We'll walk through your AI agent architecture and where the exposure sits.

Get in touch →