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    SentraSuite / Enterprise AI Security

    AI Application Security

    Secure what you build, from first scan to production.

    LLM apps, RAG pipelines and autonomous agents need controls beyond traditional AppSec. Connect build-time scanning, adversarial testing and runtime protection with a shared evidence trail.

    Talk to the Team Explore the controls

    The problem

    AI applications create attack paths AppSec does not see.

    Your models, retrieved content, agents and connected tools introduce new trust boundaries. Prompt injection, jailbreaks, data leakage and agent abuse demand testing before release and protection while applications run.

    What SentraSuite does

    Connect asset visibility, policy decisions and security evidence across the AI lifecycle.

    Scan before release

    Scan models, MCP servers, RAG pipelines, skills and agent configurations for vulnerabilities and risky components before deployment.

    Test adversarial behaviour

    Red-team applications for prompt injection, jailbreaks, data leakage and agent abuse. Use findings to inform release decisions and remediation.

    Protect production interactions

    Apply an AI firewall to prompts, responses and tool calls. Inspect interactions inline and enforce runtime policy across GenAI and agentic workflows.

    Re-test when the system changes

    Re-test on every model, prompt or tool change so assurance reflects the application you are actually running, not an earlier version.

    The products behind the solution

    Start with the controls you need. Extend coverage through the same platform, policy engine and evidence store.

    SentraScan

    Generally Available

    Discovery & build-time scanning

    Scan the AI supply chain, including models, MCP servers, RAG, skills and agent configurations, before release.

    Explore product SentraScan

    SentraRed

    Generally Available

    Build-time testing & vendor assurance

    Run adversarial campaigns against AI applications and agents, producing reproducible findings for security and model risk teams.

    Explore product SentraRed

    SentraGuard

    Generally Available

    Runtime protection & policy enforcement

    Protect live prompts, responses and tool calls with inline guardrails and runtime policy enforcement.

    Explore product SentraGuard

    Built for teams that build AI. And teams that use it.

    Most organisations do both. SentraSuite connects both journeys through one inventory, one policy and one evidence trail.

    If you build GenAI

    For LLM apps, RAG pipelines, agents, MCP servers and fine-tuned models.

    1. Scan what you build

      SentraScan checks models, MCP servers, RAG, skills, agent configurations and dependencies, and produces an AI-BOM.

    2. Test before release

      SentraRed runs adversarial campaigns and acts as a security gate in CI/CD before deployment.

    3. Protect in production

      SentraGuard inspects each prompt, response and tool call inline, applying runtime policy to GenAI and agentic AI workflows.

    4. Stay current

      AIThreatIntel feeds new AI CVEs and attack patterns into policy and re-tests as the threat landscape changes.

    If you consume GenAI

    For public GenAI, copilots, SaaS AI features and AI APIs used by your people and systems.

    1. Discover

      SentraScan and SentraGuard find the AI tools, extensions, agents, skills and APIs in use, including shadow AI.

    2. Control

      SentraGuard enforces acceptable use and blocks sensitive data at the browser, endpoint and gateway.

    3. Assure vendors

      SentraRed tests third-party AI at the boundary you control and collects evidence for vendor assurance.

    4. Report

      SentraGuard and AIThreatIntel provide usage telemetry and an audit trail for the board, security operations and the regulator.

    One platform. Three entry points.

    Add the other use cases without adopting a new platform or a new policy model.

    Put AI risk under a shared set of controls.

    Talk to SOAISEC about your AI estate, sensitive data and deployment requirements. Build a path from discovery to runtime protection that fits your regulated environment.

    Talk to the Team