| What it sells | - AIShield AISpectraScans AI/ML models and notebooks and performs red teaming of ML and LLM systems to find vulnerabilities such as adversarial attacks, model theft, data poisoning, prompt injections and jailbreaks.
- AIShield Guardian ML FirewallDetects and mitigates adversarial threats such as extraction, evasion and poisoning against deployed machine learning applications, integrating with tools like Splunk and Sentinel.
- AIShield Guardian GenAI GuardrailsFilters inputs and outputs of generative AI applications and LLMs to mitigate prompt injection, jailbreaks, sensitive data exposure and bias, with PII anonymization.
| - DetectContinuously red-teams AI with dynamic, use-case-specific attacks intended to uncover security, safety and brand risks.
- RemoveApplies real-time guardrails intended to stop threats as they happen.
- MonitorGives real-time insight into AI risk and compliance status to prepare for audits.
- ComplyTranslates internal policies and external regulations into automated guardrails and compliance evidence.
| - AI DiscoveryFinds every AI agent, model, MCP server and tool across cloud, SaaS and developer environments.
- AI Security Posture ManagementDefines which agents are approved, what data they can access and what actions they can take, and enforces those policies in real time.
- AI Red Teaming[4]Probes AI applications and agents with multi-turn tests for prompt injection, jailbreak, data leakage and goal drift.
- Runtime Protection[2]Monitors the full chain of an agent session, including prompts, tool calls and data access, and detects prompt injection and data exfiltration in real time.
| - AI Asset Management[1][4][5]Discovers models, AI workflows, MCP servers and guardrails across an enterprise and builds an AI-BOM to uncover vulnerabilities and track compliance.
- AI Red Teaming (Probe)Automatically and continuously tests AI systems for vulnerabilities using a database of adversarial attack scenarios.
- AI Runtime Protection[1][4][5]Enforces input and output guardrails during live AI deployments to detect malicious behavior, prompt injections and data leakage.
- AI Governance & Compliance[1][4][6]Maps AI systems to security standards and regulatory frameworks to track alignment with policies.
- Dynamic Remediation[1][7]Converts red teaming findings into system prompt hardening and remediation steps to reduce attack surface.
- Agentic Radar[1]An open-source scanner that visualizes agentic AI workflows and surfaces tool-level vulnerabilities and attack patterns.
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| G2 and Gartner Peer Insights | - G2: Not stated on its pages
- Gartner Peer Insights: Not stated on its pages
| - G2: Not stated on its pages
- Gartner Peer Insights: Not stated on its pages
| - G2: Not stated on its pages
- Gartner Peer Insights: Not stated on its pages
| - G2: Not stated on its pages
- Gartner Peer Insights: Not stated on its pages
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| Who it fits | Not written yet | Not written yet | From its own pages, the company sells mainly to organisations that need to secure AI agents. Its platform is split into three settings: agents running on SaaS platforms, agents employees use, and agents engineers build. The pages also refer to Fortune 100 companies that it says already trust it to secure agent adoption. A separate solutions page covers simplifying compliance across an AI environment. | From its own pages, the company sells mainly to enterprises, saying the platform is built for enterprise scalability. Its asset management messaging speaks to organisations that want visibility and control over the AI assets used in the organisation. Its runtime messaging addresses teams with AI systems in production. Its governance messaging speaks to teams working with global AI security frameworks and internal risk policies. |
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