AGENT SWARM · AUTONOMOUS REMEDIATION · ENTERPRISE READY

A Swarm of AI Agents That Detect, Decide, and Remediate

Hundreds of specialized security agents work in parallel — investigating findings, correlating context, and executing fixes across cloud, code, identity, and SOC. From alert to remediation, autonomously.

Stop triaging. Start resolving. The swarm closes the loop — open PRs, revoke access, isolate hosts, rotate secrets — with full audit and human-in-the-loop guardrails.

Organizations
Projects
Assets
Risks
AI Agents
Actions
Security Architecture
Code Security
Cloud Security
Autonomous SOC
Compliance
Privacy
Identity
Red Team
THE PROBLEM

Enterprise security is fragmented, reactive, and overloaded.

Security teams juggle disconnected tools for code scanning, cloud posture, vulnerability management, SOC, compliance, privacy, and identity — driving alert fatigue, slow remediation, and unclear business risk.

Too many disconnected security tools
High false positives and alert fatigue
Slow vulnerability prioritization
Manual compliance evidence collection
Limited visibility across cloud, code, identity, data
Security reviews that happen too late
SOC teams overwhelmed by noise
THE PLATFORM

An agent swarm that doesn't just detect — it remediates.

Specialized agents collaborate across security architecture, DevSecOps, cloud posture, vulnerability management, SOC, privacy, compliance, identity, and red teaming — driving every finding to a verified fix.

DEEP SEARCH UNDERSTANDS
OrganizationsProjectsAssetsIdentitiesCodeCloudData flowsComplianceRisksIncidents
Then AI agents reason across them and recommend or execute action — with full audit, human approval, or autonomous mode.
Swarm of specialized agents
Dozens of domain agents — posture, identity, triage, remediation — coordinated by a planner.
Closed-loop remediation
Auto-PRs, runtime patches, token revocation, host isolation, secret rotation — verified end-to-end.
Unified security graph
Shared context across assets, identities, code, cloud, findings and controls.
Guardrails & autonomy levels
Per-action policy: observe, suggest, approve, or fully autonomous.
LIVE · AGENT SWARM

The swarm at work — right now.

Real activity from specialized agents across cloud, identity, SOC, AppSec and compliance — detecting, deciding, and remediating in parallel.

Active runs
0
Resolved (recent)
0
Awaiting approval
0
Agents engaged
0
Autonomy avg
0%
LIVE ACTIVITY FEED
streaming
  • Waiting for agent activity…
AGENT ROSTER
0 online
  • No agents have reported yet.
AI AGENTS · CAPABILITIES

Nine specialized agents. One coordinated platform.

5.1

AI Security Architecture

Security by design, continuously validated.

Convert business and technical requirements into secure architectures, threat models, control mappings, and attack-path simulations.

  • Zero Trust design
  • IAM strategy
  • Network segmentation
  • STRIDE & PASTA
  • Pre-deployment attack paths
5.2

Security Code Evaluation

Reasoning-based code security.

Analyze source code, IaC, pipelines, dependencies, and configurations using semantic AI — not rule-only scanning.

  • Source & IaC review
  • Secrets detection
  • Supply chain risk
  • Business logic flaws
  • OWASP / CWE / SANS
5.3

AI Vulnerability Management

Fix what matters most.

Aggregate findings across code, cloud, containers, endpoints, and third parties. Prioritize by exploitability and business impact.

  • Unified inventory
  • Exploit likelihood
  • Asset criticality
  • Predictive modeling
  • SLA tracking
5.4

Cloud Hardening & CSPM

Cloud security that understands context.

Continuously assess AWS, Azure, GCP, Kubernetes, and serverless with AI-driven posture management.

  • Misconfiguration detection
  • Blast radius prediction
  • Terraform/ARM remediation
  • K8s posture
  • Serverless analysis
5.5

Autonomous SOC

From alert noise to attack stories.

AI agents correlate logs, alerts, identities, assets, and network activity to investigate and respond autonomously.

  • Alert correlation
  • Attack story building
  • Root cause analysis
  • Quarantine & lockdown
  • Incident timelines
5.6

Autonomous Red Team

Continuous adversary testing.

Safe, continuous, non-intrusive penetration testing across applications, APIs, cloud, and identity.

  • Attack path discovery
  • Exploit chaining
  • Identity attack sims
  • Cloud attack sims
  • Proof-of-exploit
5.7

Security Compliance

Compliance that stays audit-ready.

Automatically map controls, findings, policies, and evidence to ISO 27001, NIST, SOC 2, HIPAA, and PCI DSS.

  • Gap analysis
  • Evidence collection
  • Control monitoring
  • Auditor-ready reports
  • Plain-English explanations
5.8

Privacy Agent

Privacy-by-design across data flows.

Discover personal data, map data flows, identify privacy risks, and support DPIA / PIA across systems.

  • Data inventory
  • PII / PHI / PCI
  • Data flow mapping
  • Cross-border transfers
  • Retention risk
5.9

Identity Agent

Identity risk, access, and trust intelligence.

Continuously analyze users, service accounts, privileges, federation, MFA, and entitlement risks.

  • Identity inventory
  • Privileged access
  • Stale/orphaned accounts
  • Toxic entitlements
  • Least-privilege
ARCHITECTURE

Built around your enterprise security graph.

Connect assets, identities, code, cloud resources, vulnerabilities, controls, policies, incidents, and compliance evidence into a unified security knowledge graph.

Organizations
Projects
Assets
Identities
Data
Repositories
Cloud
Findings
Alerts
Vulnerabilities
Compliance Gaps
AI Agents
Remediation
Evidence
Response
Reports
WHY DEEP SEARCH

Not another scanner. Not another dashboard.

TRADITIONAL TOOLS
What you have today
DEEP SEARCH SECURITY
What you get with AI
Fragmented point solutions
Unified security operating system
Static rules
AI reasoning and context
Alert overload
Prioritized risk and attack stories
Manual compliance
Continuous evidence mapping
Reactive security
Design-time and runtime validation
Siloed SOC, cloud, code, GRC
Connected AI agents
Human-only response
Human-approved or autonomous action
ENTERPRISE TRUST

Designed for enterprise security from day one.

Multi-tenant organization & project model
OAuth2, OIDC, and SAML login
RBAC and project-level permissions
Full audit logging
Data residency support
Secret manager integration
Human approval workflows
Read-only and controlled-action modes
SIEM, SOAR, cloud, IAM, DevOps integrations
INTEGRATIONS

Connects to your existing security ecosystem.

CLOUD
  • AWS
  • Azure
  • GCP
CODE
  • GitHub
  • GitLab
  • Bitbucket
  • Azure DevOps
IAM
  • Okta
  • Entra ID
  • Google Workspace
  • LDAP
SOC / SIEM
  • Splunk
  • Sentinel
  • Chronicle
  • QRadar
ENDPOINT
  • CrowdStrike
  • Defender
  • SentinelOne
TICKETING
  • Jira
  • ServiceNow
COLLABORATION
  • Slack
  • Teams
COMPLIANCE
  • GRC platforms
  • Evidence repos
USE CASES

One platform. Many security workflows.

Design secure cloud architecture before deployment
Review code and IaC in real time
Prioritize vulnerabilities by business risk
Detect risky cloud configurations
Investigate incidents autonomously
Continuously test attack paths
Generate compliance evidence
Map privacy risks and data flows
Detect identity and access risks
DASHBOARD PREVIEW

Executive visibility. Operator precision.

A live look at your enterprise security posture, available in the integrated console.

Enterprise risk score
72
Critical projects at risk
4
Top attack paths
11
Open critical vulns
27
Cloud posture score
84
Identity risk score
61
Compliance readiness
92%
Privacy risk score
38
Active incidents
3
MTTR
12m
Remediation SLA
97%
Autonomy resolved
78%
REQUEST A DEMO

See what autonomous security operations can look like.

Unify security architecture, engineering, operations, compliance, privacy, and identity into one continuously learning AI platform.

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