Version-bound
Identify the exact system, artifact, policy, environment, and evidence to which the conclusion applies.
Solutions / operational AI security
Secure AI adoption, agent actions, and releases from one connected platform.
Bring estate visibility, attack testing, runtime control, and supply-chain integrity together around the AI systems your organization depends on.
BUILT FOR ACCOUNTABLE OPERATIONS
Keep findings current, reproducible, and connected to control.
Cosmipher preserves the system version, observed risk, control response, and operating ownership behind every conclusion.
Attack-to-control replay
Connect a reproduced failure to the control change and replay the same case against the changed boundary.
Change-aware
Record which model, data, tool, identity, configuration, or purpose change invalidates the earlier decision.
One joined record
Preserve posture, artifact, attack, policy, action, outcome, limitation, owner, and next review together.
THREE SOLUTIONS / ONE CONNECTED PLATFORM
Choose the outcome. Connect the right controls.
Each solution starts with one operational risk and brings in only the products required to address it.
DECISION TO CHANGE
Replace assumption-based adoption decisions with a reviewable record of ownership, reach, risk, required controls, exceptions, and renewal conditions.
- Start with
- One proposed, known, or suspected consequential AI system
- Lead product
- AgentSPM
- Primary output
- AI adoption decision record
Reference workflow published · named technology support and operating results require representative evidence
Solution comparison
Three distinct moments in the AI operating lifecycle.
Choose the moment that currently lacks a defensible evidence record; each path begins with one lead product and expands only when another evidence question matters.
Govern AI Adoption
AI-SPM · shadow AI · AI governance
Govern AI adoption with current evidence, accountable ownership, and risk-based approval.
- Start when
- AI use is expanding faster than inventory, ownership, security review, or approval decisions can remain current.
- Starting object
- One proposed, known, or suspected consequential AI system
- Primary output
- AI adoption decision record
Secure Agentic Operations
AI agent security · MCP security · runtime control
Authorize every consequential agent action with identity, purpose, context, and policy.
- Start when
- Agents can call tools, use delegated authority, move sensitive data, or change downstream systems faster than a human can review each step.
- Starting object
- One consequential agent-to-tool or agent-to-system action path
- Primary output
- Runtime decision and replay record
Assure AI Releases
AI release assurance · red teaming · artifact trust
Release AI systems with version-bound attack, control, and artifact evidence.
- Start when
- A model, agent, prompt, dependency, dataset, tool, policy, or application change needs a defensible security decision before release.
- Starting object
- One release candidate or high-consequence AI boundary
- Primary output
- Version-bound AI release evidence packet
CONNECTED SECURITY OPERATIONS
Posture, testing, enforcement, and release assurance reinforce one another.
A discovered exposure can direct a test, a reproduced attack can become a runtime control, and the same case can verify the change.
- 01Discover
AgentSPM
Establish the system, owner, authority, tools, data, dependencies, and observable boundary.
- 02Verify
Supply Chain Security
Bind decisions to exact model, data, artifact, and provenance evidence where required.
- 03Attack
AI Security Testing
Exercise the failure paths that matter to the selected system and consequence.
- 04Decide
AI Firewall
Join content, identity, purpose, posture, policy, tool, and target context.
- 05Control
AI Firewall
Apply the response verified at the selected boundary before the consequential action.
- 06Prove
Connected evidence
Replay the case and preserve the bounded decision, evidence, and limitations.
A MODULAR PRODUCT PATH
Start with the product closest to the risk.
Deploy one product for the immediate outcome, then add posture, testing, runtime, or artifact context as the operating need expands.
Explore all productsAgentSPM
AgentSPM gives security and AI teams a current inventory of what exists, who owns it, what it can reach, and where configuration, permission, or approval gaps create exposure.
Product detail →Cosmipher AI Firewall
Cosmipher AI Firewall evaluates prompts, responses, retrieval, memory, identities, tools, and agent behavior together, then applies the policy decision before impact.
Product detail →Cosmipher AI Security Testing
Combine attacker-style reconnaissance, automated multi-step testing, reproducible evidence, and managed expert escalation in one assurance workflow.
Product detail →Cosmipher AI Supply Chain Security
Build one trust decision from AI-BOM and genealogy, deep artifact inspection, poisoning and backdoor evidence, model-IP risk, and signed release records.
Product detail →DEPLOYMENT SCOPE
Products are available. Exact technical fit is confirmed for your environment.
Deployment planning confirms the provider, interface, data path, control point, hosting requirements, failure behavior, and operating ownership for the selected scope.
Review Security & Trust →START WITH THE HIGHEST-IMPACT RISK
Secure one AI system, action path, or release first.
Choose the immediate outcome, confirm the operating environment, and deploy the product or assessment that addresses it.