The Enterprise AI Security, Compliance & Cyber Resilience Platform

Suronex continuously discovers, secures and governs your entire AI ecosystem — models, agents, datasets, prompts, APIs, identities and cloud infrastructure — while automating compliance across global regulations and enterprise frameworks from a single AI-powered platform.
Agentless — deploy in minutes50+ standards & best practicesOne unified dashboard
Why AI Security Needs a New Approach

AI is evolving faster than enterprise security can keep up.

Your cloud is inventoried. Your endpoints are monitored. Your applications are scanned. But do you know what your AI is doing?

Most organisations still lack visibility into:

  • Which AI models and agents are running
  • What data they can access
  • Which prompts may expose sensitive information
  • What AI APIs and MCP servers are connected
  • Which Shadow AI tools employees are using
  • Who owns and governs each AI asset
Your AI ecosystem is no longer just an LLM.

It now spans:

  • LLMs
  • AI Agents
  • MCP Servers
  • Vector Databases
  • Prompt Libraries
  • AI APIs
  • Fine-Tuned Models
  • SaaS AI
  • Shadow AI
  • Training Datasets
  • AI Workflows

Suronex is built for the AI era.

Suronex AISentinel discovers, monitors, governs and secures your entire AI ecosystem — helping security teams understand what exists, what it can access, how it behaves, and where the real risks are.

Live AI attack graph
Unwatched
Watched
OpenAI
Anthropic
Gemini
Mistral
AI agents
Vector store
MCP server
Prompt library
Identities
Cloud
Kubernetes
Code repos

Secure your entire AI ecosystem

Six capabilities working as one — from discovery to remediation, purpose-built for modern AI workloads.

AI Sentinel — the line, end to end
Find itDiscover
Grade itAssess
Attack itTest
Block itEnforce
Prove itGovern

An illustration of AI Sentinel as a production line: an asset is found at the start, then graded, attacked, gated and filed as evidence, on one asset spine.

Grading runs across the posture surfaces Azure, AWS, GCP, Self-hosted, SaaS, Kubernetes, and every check returns Pass, Fail, Manual — a check that cannot read its evidence returns Manual, never a pass. Enforcement runs inline on the rails Prompt injection, PII in / out, Secrets, Output policy, Refusal quality, each of which can monitor, redact, block. Evidence is filed against MITRE ATLAS, EU AI Act 2024, NIST AI RMF 1.0, ISO/IEC 42001, OWASP LLM Top 10, and delivered to Splunk HEC, Webhook, Wazuh, IBM QRadar, ServiceNow.

  • Discover — Find it. Find every model, endpoint, agent, MCP server, artifact and unsanctioned tool.
  • Assess — Grade it. Grade the configuration, identity, data and dependency risk behind every asset.
  • Test — Attack it. Attack it the way an adversary would, and grade the result defensibly.
  • Enforce — Block it. Sit in the request path and block the attack before the model answers.
  • Govern — Prove it. Turn all of it into evidence an auditor, a regulator and a board will accept.

One AI asset spine. One identity from discovery to evidence.

Every AI model, agent, API, and workflow discovered by Suronex is continuously mapped, assessed, red-teamed, governed at runtime, and captured as auditable evidence—creating a single source of truth from discovery to decision to defence.

Find every model, endpoint, agent, MCP server, artifact and unsanctioned tool.

  • AI Asset Discovery & InventoryOne deduplicated spine for every AI asset
  • AI-BOM & Model Supply ChainPayload analysis and a bill of materials
  • Shadow AI DiscoveryIndependent vantage points on shadow AI
  • SaaS & Enterprise AI GovernanceGovernance of the AI accounts you pay for

Grade the configuration, identity, data and dependency risk behind every asset.

  • AI Security Posture ManagementPosture checks across managed AI services
  • Self-Hosted & MLOps Host PostureAgentless fingerprinting of GPU and VM hosts
  • AI Identity & EntitlementsAgents and keys as first-class identities
  • AI Data SecurityWhat a model can reach, and what walks out
  • ML Stack Vulnerability ManagementCVEs in the containers and VMs AI runs on
  • AI Code & Repository SecurityAI-specific defects generic SAST misses

Attack it the way an adversary would, and grade the result defensibly.

  • Behavioral Red TeamAdversarial search against a live endpoint
  • Agentic & MCP Red TeamThe agent, its tools, and what it trusts
  • Grading, Evidence & RegressionProving the verdict is right, and stays right

Sit in the request path and block the attack before the model answers.

  • AI GatewayOne inline plane for every model call
  • Runtime GuardrailsInspect, redact or terminate mid-response
  • Agent Runtime & MCP ControlPre-execution control on the tool call

Turn all of it into evidence an auditor, a regulator and a board will accept.

  • Compliance & AI GovernanceClauses fed by evidence, not a questionnaire
  • Detection, Response & OperationsFindings become assigned work in your SOC

Every surface these five planes touch

Discover
  • AWS
  • Azure
  • GCP
  • Kubernetes
Assess
  • vLLM
  • Ollama
  • TGI
  • Triton
  • Ray Serve
  • MLflow
Govern
  • MITRE ATLAS
  • EU AI Act 2024
  • NIST AI RMF 1.0
  • ISO/IEC 42001
  • OWASP LLM Top 10
  • Splunk HEC

AI doesn't run alone. Neither should your security.

Every AI workload depends on cloud infrastructure, identities, applications and data. Suronex extends protection across your complete technology stack.

  • One unified platform

    Instead of 10 different security tools — a single source of truth from the AI layer down to infrastructure.

  • Full-stack context

    Correlate an exposed prompt with the identity that owns it, the cluster it runs on, and the data it can reach.

  • Attack paths, visualised

    See how a jailbroken agent could pivot into cloud resources — and cut the path before it's exploited.

  • Posture + runtime security

    Configuration posture paired with live runtime detection at every layer — threats caught as they happen, not at the next scan.

  • Compliance built in

    Every layer continuously mapped to AI and enterprise standards with audit-ready evidence.

One Platform Beyond AI

One Platform. Complete Security for the AI-Driven Enterprise.

Every capability works from one asset graph, one data model, one risk engine and one unified dashboard—giving security teams a connected view of risk instead of another collection of siloed tools.

Explore the Suronex capabilities — what each module secures, detects and governs.
ComplySense — Compliance Automation

Continuous compliance across cloud and AI

Monitor compliance against 50+ global standards and best practices. Evidence is collected continuously, mapped to controls automatically, and packaged audit-ready — no spreadsheet marathons.

  • 0+
    Standards & Best Practices
  • 0%
    Continuous Evidence
  • 0/7
    Real-Time Monitoring
AI Frameworks
  • EU AI Act
  • ISO 42001
  • NIST AI RMF
  • OWASP LLM Top 10
  • AI Verify
Cloud & Enterprise
  • ISO 27001
  • SOC 2
  • PCI DSS
  • HIPAA
  • EU GDPR
  • DPDP
  • CIS Benchmarks
  • RBI
  • SEBI CSCRF
  • DORA
  • NIS2

Bring Your Own Compliance (BYOC)

Onboard proprietary or industry-specific frameworks and monitor them the same way — continuously.

Why Suronex

Built different. On purpose.

  • One Platform

    Cloud, AI, compliance, identity, vulnerability and application security. One dashboard.

  • AI Native

    Built for modern AI workloads — not adapted from legacy posture tools.

  • Compliance First

    Continuous evidence collection. Audit-ready reporting. Real-time compliance.

  • Agentless

    Deploy in minutes. No agents. No downtime.

  • AI Powered

    AI assists with discovery, risk prioritisation, correlation, remediation and reporting.

Industries

Security Built for Every Industry

One platform. Every sector. Every critical risk.

From BFSI and healthcare to SaaS, e-commerce, telecom, manufacturing and energy, Suronex adapts to the security, compliance, AI and cloud risks unique to your industry—helping organisations secure their digital ecosystem and meet the standards that matter most.

BFSIPublic exposure of systems handling payment, financial, credit and customer data
HealthcareUncontrolled access to PHI and PII, exposed healthcare workloads and insecure APIs
GovernmentData residency violations and sovereign data exposure
SaaSTenant isolation failures, exposed APIs and excessive third-party OAuth permissions
ManufacturingCloud-to-OT connectivity and exposed industrial workloads
RetailCardholder-data scope creep and exposed payment infrastructure
TelecomLarge-scale exposure of subscriber data and privileged access risk

Every sector Suronex covers, what it weights first there, and the frameworks it maps.

  • BFSI — Public exposure of systems handling payment, financial, credit and customer data — then excessive privileges and cloud misconfigurations. Frameworks: PCI DSS, DORA, RBI, SEBI CSCRF, SOC 2, ISO/IEC 27001:2022, NIST CSF, CIS.
  • Healthcare — Uncontrolled access to PHI and PII, exposed healthcare workloads and insecure APIs — then the AI systems reaching sensitive patient data. Frameworks: HIPAA, HITRUST, EU GDPR, ISO/IEC 27001:2022, SOC 2, NIST CSF.
  • Government — Data residency violations and sovereign data exposure — then internet-facing services, misconfigured cloud infrastructure and excessive privileged access. Frameworks: FedRAMP, NIST 800-53, DPDP Act, EU GDPR, CIS, NIST CSF, ISO/IEC 27001:2022.
  • SaaS — Tenant isolation failures, exposed APIs and excessive third-party OAuth permissions — then secrets in code and insecure cloud workloads. Frameworks: CSA CCM v4, SOC 2, EU GDPR, ISO/IEC 27001:2022, NIST CSF, CIS.
  • Manufacturing — Cloud-to-OT connectivity and exposed industrial workloads — then insecure identities, vulnerable systems and insufficient IT/OT segmentation. Frameworks: CIS, ISO/IEC 27001:2022, SOC 2, NIST CSF.
  • Retail — Cardholder-data scope creep and exposed payment infrastructure — then customer PII, insecure APIs and third-party integrations. Frameworks: PCI DSS, DPDP Act, EU GDPR, SOC 2, CIS, ISO/IEC 27001:2022, NIST CSF.
  • Telecom — Large-scale exposure of subscriber data and privileged access risk — then exposed network and cloud infrastructure and third-party ecosystem risk. Frameworks: DPDP Act, EU GDPR, NIST CSF, ISO/IEC 27001:2022, CIS.
How It Works

From Connection to Confidence — One Platform, One Connected View

  1. 01

    Connect Everything

    Connect clouds, SaaS, code, identities, containers, AI services, data and workloads through a unified integration layer.

  2. 02

    Discover & Map

    Automatically discover and map your entire digital estate—from cloud assets and applications to AI models, agents, APIs, identities and data—into one connected asset graph.

  3. 03

    Assess & Govern

    Continuously identify misconfigurations, vulnerabilities, identity risks, AI threats, exposure and compliance gaps, correlated through a single risk engine.

  4. 04

    Remediate & Prove

    Get AI-guided remediation, prioritise what matters most, track risk reduction, and generate audit-ready and executive-level insights from one platform.

Confidence

The steps are drawn as a conduit that climbs: a packet enters at the connector, is resolved into named assets, read against a threshold, and leaves under a closed seal. The connector gathers a field of connected cloud, identity, container, code and SaaS platforms over lanes for cloud accounts, SaaS organisations, code repositories and AI services.

Secure Everything. From Cloud to AI.

One platform to discover, secure, govern and continuously reduce risk across your entire technology ecosystem.

Agentless deployment. Rapid discovery. Actionable results in minutes.