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Threats blocked today
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invoice-agent wants to run delete_records(prod)Consequential action held for human approval · policy: human-in-command
Your company is filling with AI agents that read private data, take real actions, and can be hijacked through the tools they trust. SEER Shield governs all of them — across every model and vendor — and gives you one switch to stop them.
Powered by the SEER engine · works with Claude Code, Cursor, Copilot & any MCP tool
"Hope each model defends itself" isn't a security posture — it's inconsistent (cheap and homegrown agents don't), invisible (no one knows what agents exist), unenforceable, and unauditable. And the best models have already been beaten.
weaponized in the first AI-orchestrated espionage campaign (GTG-1002). The best model — beaten by a determined attacker.
of breaches involve a compromised identity — yet only ~10% of orgs have any strategy for their agents' non-human identities.
against the MCP tool ecosystem in 2026 — agents hijacked through their tools, bypassing the model entirely.
EU AI Act: prove auditable human oversight of AI, or face fines up to 7% of global revenue.
Intelligence is not a substitute for control.
A smarter agent is a more capable actor with the same blind spots. Model defense stops it being fooled — it does nothing about authorization, identity, tools, memory, or proof. SEER Shield secures what no model can.
One inventory of every agent and the tools / MCP servers it can reach — including the shadow agents you didn't know you had.
One policy across all of them: least privilege, approved tools, and human-approval gates on consequential actions.
Block hijacks and exfiltration the moment they happen — including the dynamic, runtime poisoning static scanners miss.
An immutable, explainable record of every agent action and every human approval.
Neutral across every model, cloud, and framework. A control plane only works if it governs all of them — the giants can't, without breaking their own lock-in.
We act on what agents actually do, in real time — catching the dynamic attacks one-time scanners miss entirely.
Every decision comes with its reasoning. No black boxes — what a CISO needs to trust it and an auditor needs to accept it.
Every poisoned tool we catch becomes shared intelligence — a flywheel that sharpens with scale and a rival can't copy.
SEER Shield runs as an MCP proxy — local or remote. Point your agent at it instead of the raw tool server, and every tool call flows through SEER: verified, mediated, and audited, live. No code changes.
# wrap any MCP server — local or remote: { "command":"python", "args":["seer_mcp.py","--","npx","-y", "@modelcontextprotocol/server-filesystem","/work"] } # every tool call is now governed: [SEER] VERIFY quarantined poisoned tool 'get_documentation' [SEER] DETECT injection in web_fetch output [SEER] BLOCK http_post -> exfiltration stopped [SEER] HOLD delete_records -> awaiting human approval
Food safety — for a restaurant chain.
You don't keep a 500-location chain safe by hoping each chef is careful. You need a system: inspect every supplier, set the rules every kitchen follows, catch contamination anywhere, keep the inspection record. SEER Shield is that system for your fleet of AI agents.
Not by claiming to solve alignment — by being the layer through which humans authorize, bound, halt, and audit what their agents do. The more capable AI gets, the more that matters.
We're onboarding a first wave of teams running AI agents in production.
No spam — one email when we're ready.