Solutions / Enterprise AI

Secure the system, not just the model.

Zedmesh protects the complete chain of AI behavior—from first discovery to final action—with context that follows every interaction.

AI Agent Lifecycle Management

Build, test, deploy, monitor, and decommission agents with security embedded in every phase.

AI CMDB

Discover shadow and unmanaged AI while maintaining a living inventory of every managed agent.

AI Risk & Policy

Apply context-aware, dynamic rules across enterprise AI based on identity, data, and intent.

AI Agent Lineage

Trace training data, prompts, tools, and decision chains with complete, immutable provenance.

Automated Incident Response

Close the loop from detection to containment with machine-speed investigation and response.

AI Red Teaming

Continuously probe for jailbreaks, indirect injections, and exploitable agent behavior. Continuous, automated probing — built into the platform. (Looking for human-led red team engagements? See Services.)

Regulatory Compliance Mapping

Continuously crosswalk AI systems against the EU AI Act, NIST AI RMF, ISO 42001, DPDPA, RBI, and SEBI—with automated control evidence and compliance assurance across model and agent lifecycles.

Reports & AI System KPIs

Track executive posture dashboards, agent risk indices, drift and anomaly metrics, operational SLAs, and board-ready compliance reports.

AI Agent Metamorphosis

Know when an agent becomes something else.

Agent Metamorphosis occurs when tools, persona, system prompt, model, API scopes, or context sources mutate or drift over time. Zedmesh records the predecessor and successor, then verifies whether every characteristic change belongs in change control.

Authorized

Planned evolution

Signed code and configuration updates create documented, versioned successors with attributable approvals.

Imposed

Hostile mutation

Jailbreaks, prompt injections, memory poisoning, or malicious tools alter intent and autonomy without authorization.

01 / What changed

02 / When it changed

03 / Was it documented?

360-degree coverage

One mesh. Every execution layer.

Endpoint

Runtime sensors, IDE plugins, desktop copilots, and edge agent execution.

Network

AI traffic inspection, LLM gateway mediation, tokenomics, and API shielding.

Application

Agent orchestration, MCP tool harnesses, RAG pipelines, and multi-agent mesh traffic.

Continuous controls validation

Prove the harness holds under pressure.

Automated harness tests, synthetic prompt suites, and continuous red teaming verify guardrails, blast-radius limiters, and compliance controls against evolving attacks.

Validation loop

01Exercise agent harnesses

02Probe with synthetic adversarial prompts

03Verify containment and compliance evidence

04Feed findings back into adaptive policy