Agentic AI Security
Runtime controls and signed proof for agents that act.
Glacis helps fast-growing AI companies harden agents that use tools, credentials, customer data, and delegated authority — then produce evidence enterprise buyers can trust.
The risk
Agents are no longer chat windows. They are delegated systems.
They retrieve data, call APIs, trigger workflows, write files, update tickets, and act inside customer environments. That turns prompt injection, tool misuse, exfiltration, and unauthorized action into business risks, not abstract AI safety concerns.
Enterprise security reviewers see the same exposure. Vendor questionnaires, attestations, architecture deep-dives, and follow-up customer asks now arrive faster than a 30-person engineering team can answer them.
Buyers will ask what the agent could do, what it was blocked from doing, and how you know. Glacis gives fast-growing AI companies the runtime controls and the signed proof to answer in one artifact.
Founder-led sales
Get one agent workflow through enterprise security review.
When an agent uses tools, credentials, customer data, code, or production systems, enterprise buyers ask for proof. Glacis helps technical founders harden one named workflow and produce a customer-ready evidence pack before the security review stalls the deal.
Security-review pressure
Answer how prompt injection, tool misuse, data leakage, unauthorized actions, and drift are controlled.
No mature security team yet
Give fast-growing teams runtime security depth before the organization has a full security function.
Expanding attack surface
AI-assisted development and agent workflows increase access to tools, code, credentials, and production data.
One-workflow Sprint
Map one named workflow, prioritize runtime controls, and leave with an evidence pack customers can review.
Control surface
Control what agents can do at decision time.
Tool permission
Allow, block, or escalate sensitive tool calls before the agent acts.
Credential boundary
Prove which credentials, scopes, and systems were available to the agent.
Data access
Redact, block, or escalate risky data movement and suspicious context use.
Human review
Require approval when impact, confidence, or policy context crosses a threshold.
Runtime proof
Show what each agent was allowed to do, blocked from doing, and why.
Receipts are generated at runtime. Evidence packs are assembled from receipts.
That gives security reviewers a concrete artifact instead of a policy promise.
Assurance workflow
Use one agent workflow to prove the runtime assurance layer.
Map delegated authority
Identify credentials, tools, data, workflows, and actions the agent can reach.
Install runtime controls
Set allow, block, redact, escalate, and review rules at the agent boundary.
Generate signed proof
Produce signed receipts and an evidence pack for customers, security teams, and internal review.
Architecture
Add proof to the stack you already use.
Glacis complements observability, governance, and security tools by proving which runtime controls executed. Sensitive prompts, outputs, customer data, credentials, and context stay inside your infrastructure.
Runtime controls
Control the agent boundary before tools and data are touched.
Signed evidence
Generate tamper-evident proof for consequential agent actions.
Zero sensitive-data egress
Export verification metadata, signatures, hashes, receipts, and evidence artifacts, not sensitive payloads.
Agent Runtime Security & Evidence Sprint
Bring one agent workflow. Leave with an evidence pack your customers can inspect.
Fixed scope. 10 business days. One named workflow. We map delegated authority, install runtime controls, and produce signed receipts plus a customer-facing security-review artifact.
$48k fixed — founder-design-partner pricing for the first three customers, on the call.