HikmaAI
HikmaAI provides real-time security for AI agents in production, with a platform that runs entirely inside customer infrastructure, including air-gapped environments. The platform combines an adaptive red-teaming assessment engine with a runtime engine that blocks prompt injection, redacts sensitive data, and restricts tool use. It covers 50+ attack vectors across text, image, audio, and video, with findings mapped to frameworks like EU AI Act and OWASP.
- Cybersecurity
- Artificial Intelligence
- Developer Tools
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
AI agents in production face critical security risks including credential exposure when compromised agents leak keys and tokens, untrusted inputs like prompts or tool responses that can influence agent actions, and unbounded egress or spend that can result in data leaks and budget overruns before detection. These are immediate production concerns for organizations running AI systems with access to sensitive data and critical workflows.
Solution
HikmaAI delivers real-time security for AI agents in production through a platform that runs entirely inside the customer's infrastructure, including air-gapped environments with no external service dependencies. The platform offers three buyer routes centered on a single product: a Find It Assessment Engine that performs adaptive out-of-band red-teaming to identify exploitable weaknesses, and a Fix It Runtime Engine that inspects and enforces protected AI interactions by blocking prompt injection, redacting sensitive data, restricting tools, and governing approved egress. The assessment engine adapts to target responses rather than using static checklists, generates contextual attacks, and provides evidence-backed findings with remediation guidance that can be re-tested after fixes. The platform covers 50+ attack vectors including prompt injection, sensitive-data leakage, unauthorized tool use, MCP exposure, and multimodal adversarial inputs, with findings mappable to major compliance frameworks.
Target Audience
Primary customers are security and engineering teams at organizations deploying AI agents, LLM applications, and MCP servers in production, particularly enterprises with strict data-residency or air-gapped infrastructure requirements.
Features
- Adaptive red-teaming engine that learns from target responses and develops attack paths dynamically, not from fixed prompt lists
- Runtime engine that blocks prompt injection, redacts sensitive data, restricts tool use, and enforces approved egress policies in real time
- Multimodal attack surface testing across text, image, audio, and video when supported by the underlying model
- Support for black-box testing of agents, models, MCP servers, and skills, covering 50+ attack vectors
- Evidence-backed findings with four elements: what attack worked, what the system did, business impact, and remediation guidance, with re-testing capability
- Framework mapping to EU AI Act, OWASP LLM Top 10, OWASP Agentic AI Top 10, NIST AI RMF, MITRE ATLAS, MAESTRO, and ISO/IEC 42001, plus custom compliance documents
- Out-of-band assessment that does not sit in the production traffic path, allowing pre-production baseline testing and continuous validation around releases