SOLUTION 08 · Alkren AI Guardian
AI Security & AI Governance
Bring AI discovery, governance, model protection, agent controls, adversarial testing and runtime security into a connected portfolio.
Bring AI discovery, governance, model protection, agent controls, adversarial testing and runtime security into a connected portfolio.
Start with the modules that address your immediate priorities. Confirm availability, supported environments, integrations and commercial scope with Alkren, then add further modules under the agreed licence.
Build your licensed scope
Select the modules you need. Confirm current availability, supported integrations and licence terms during evaluation.
Alkren Privilege Guard
Govern AI agent identities and access, control OAuth-connected applications and consent, and detect leaked credentials and exposed secrets across code, repositories, and deployment environments.
Alkren Data Compass
Secure data used by AI systems, LLMs, training pipelines, and non-human identities accessing enterprise data.
Alkren Privacy Steward
Assess privacy risks in AI systems, track personal data used in training and inference, and govern its collection, use, retention, and disclosure.
Alkren AI Guardian
Discover AI applications, models, agents, and AI-enabled services across enterprise environments. Identify unauthorized AI usage and maintain a centralized inventory of AI assets, owners, and associated risks.
Alkren AI Guardian
Assess AI-related security weaknesses, misconfigurations, exposures, and threats across models, applications, agents, and supporting infrastructure.
Alkren AI Guardian
Establish AI governance policies, assign accountability, assess AI risks, track regulatory obligations, and maintain auditable evidence of governance controls.
Alkren AI Guardian
Protect AI models throughout development, testing, deployment, and retirement. Govern model access, validate model integrity, and track model provenance and lifecycle risks.
Alkren AI Guardian
Secure AI development pipelines, model dependencies, training datasets, third-party models, and MLOps environments against tampering, malicious components, and supply chain risks.
Alkren AI Guardian
Protect LLM-powered applications and generative AI services against unsafe requests, malicious inputs, unauthorized tool use, and runtime attacks.
Alkren AI Guardian
Secure autonomous and semi-autonomous AI agents by controlling identities, privileges, tool access, behavior, and communications. Detect suspicious activity and contain risky agents.
Alkren AI Guardian
Systematically test AI systems for exploitable weaknesses, unsafe behavior, policy bypasses, adversarial inputs, and security control failures before and after deployment.
Alkren AI Guardian
Enforce AI interaction policies and protect against direct and indirect prompt injection, jailbreaks, unsafe outputs, system prompt exposure, and unauthorized tool calls.
Alkren AI Guardian
Prevent sensitive information from being exposed through AI prompts, model responses, training workflows, and connected tools. Apply data sanitization and privacy controls throughout AI interactions.
Alkren AI Guardian
Secure retrieval-augmented generation pipelines, vector databases, embeddings, and knowledge sources against unauthorized retrieval, data exposure, and integrity attacks.
Alkren AI Guardian
Detect and mitigate attacks targeting machine learning models, including training data poisoning, adversarial manipulation, model extraction, model theft, and model inversion risks.
Alkren AI Guardian
Protect the compute environments supporting AI workloads, including GPU clusters, training infrastructure, model-serving environments, and the associated runtime dependencies.
Alkren AI Guardian
Evaluate AI models for bias, fairness, explainability, transparency, and model integrity, helping organizations assess responsible AI requirements and document evaluation results.
Alkren AI Guardian
Monitor AI activity, investigate security incidents, correlate suspicious model and agent behavior, and coordinate response actions across AI applications and supporting infrastructure.
Discuss a focused module evaluation or a wider solution scope.