AI SECURITY · AIM INTELLIGENCE
Intelligence
AI Trust, Risk and Security Management
Test AI. Control it in production. Protect AI use across employees, applications and agents with Stinger and Starfort from AIM Intelligence.
AI TRiSM manages AI trust, risk and security. AIM Intelligence uses Stinger to find vulnerabilities, Starfort to enforce Guardian detections, and Opticon to trace decisions.
Agent Guard
Stinger
Guardian
Starfort
Opticon
Vulnerabilities discovered through attacks become defense policies; runtime blocking results inform the next validation. Guardian is the detection engine within Starfort that assesses risk in AI interactions.
Autonomous AI Red Teaming that discovers targets, plans and probes attacks, evaluates responses and reports findings.
Applies policies to employee, application and agent requests and enforces pass, mask, block or approve decisions in production.
Connect AI access paths to shared policies and an operational console. Apply digital request enforcement and on-device robot safety controls in their respective environments.
Mask and block on employee PCs before egress
Connect controls to your AI applications and servers
App proxies and an MCP gateway inspect tool calls and egress
One policy enforcement point for every request
Risk detection across text, images, files, audio and tool calls
Grade document sensitivity; mask and re-grade before egress
Mask sensitive information in audio before the model hears it
Frontier and self-hosted models
Databases, files and business services
Approved, versioned and drift-checked tools and servers
Stinger maps guardrails before choosing attacks. An iterative discovery-to-report process identifies vulnerabilities and safety issues in AI systems.
Discover targets and connections
Probe existing guardrails
Plan goals and strategies
Run multi-turn, multimodal attacks
Multiple LLM judges and human review
Report findings and remediation evidence
Evaluate chatbots, APIs, tool-using agents, voice and vision models, and live systems behind a login.
Use custom attack goals and judges with a multilingual attack corpus. Test text, image, audio and video in one validation workflow.
Stinger supports SaaS, on-premises or a single DGX Spark deployment. Scope and reporting are designed around your environment.
Manage three access paths through one policy and console. Version changes, test before rollout, and use Kill Switch to block an entire project when needed.
Mask or block sensitive information before a prompt leaves the PC. Control Profiles define which AI services are governed.
Integrate an API before and after model calls to apply policies to your chatbots and business applications.
Inspect requests through a proxy in front of the server to connect enforcement without application code changes.
Guardian uses SLM and VLM guardrails to detect risk in AI interactions. Starfort executes actions such as pass, mask and block according to organizational policy.
PII, regex, keyword and topic rules
Manage changes as policy versions
Test against your own set before rollout
Apply controls within the chosen scope
Record verdicts, versions and latency
As coding agents and tools proliferate, asset discovery and execution controls must work together. Observe actual usage first, assess the impact, then enforce policies where they are needed.
Inventory MCP servers, skills, extensions, clients and models, and manage approval or blocking decisions.
App-specific forward proxies and an MCP gateway inspect tool calls and egress without installing components inside the agent.
Check asset versions and content differences, then investigate incidents with rules, destinations and policy versions in context.
Risk appears differently across environments. Apply controls where data moves or AI decisions become actions.
Classifies documents by sensitivity, masks content and re-grades documents before egress.
Detects sensitive information such as identification, account and card numbers in live speech and masks it in the audio before the model hears it.
A lightweight trigger model monitors robot camera input. Additional model reasoning runs on risk signals to support stop commands and alerts.
Use Stinger findings to improve Starfort policies, then feed runtime blocks and traces back into attack testing. Re-test after policy changes to confirm that the same risks remain controlled.
AI vulnerability discovery
↓ Policy update
Real-time protection
↶ Re-validation
Attack and discover
Turn findings into policy versions
Enforce on real requests
Use runtime traces for the next test
ROCK SOLUTION connects environment assessment, scoping, PoC, policy design, integration and operational improvement. Delivery scope and timing are agreed around your systems, infrastructure and security requirements.
Identify AI access paths, agents and tools
Identify priority risks with Stinger
Apply findings and test with Forge
Enforce with Starfort; trace with Opticon
Enterprise AI Security Platform
Stinger · Starfort
Assessment · Consulting · Implementation · Validation
Assess · Attack · Control · Monitor · Improve
Plan your next steps in AI testing and runtime control with ROCK SOLUTION.