Companies now run fleets of AI agents that read private data, take real actions, and can be hijacked or go rogue. SeerShield is the independent control plane: see every agent, govern what each can do, catch the ones that go wrong — live — and prove it. Across every model and vendor.
"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 (no policy), and unauditable (you can't prove it to a regulator). And the best models have already been beaten.
was 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 the non-human identities their agents run on.
against the MCP tool ecosystem in 2026 — agents hijacked through their tools, bypassing the model entirely.
EU AI Act enforcement: 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. SeerShield 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 at the moment they happen — including the dynamic, runtime poisoning static scanners miss.
An immutable, explainable record of every agent action and every human approval.
Under the hood, the SEER engine runs five capabilities on every tool call: VERIFY (vet tools), MEDIATE (block bad actions), DETECT (catch hijacked agents), APPROVAL GATE (human sign-off), and KILL-SWITCH (halt the fleet).
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.
You decide what agents may do alone, what needs a human's sign-off, and you can pull the switch. EU AI Act Article 14, made operational.
SeerShield runs as an MCP proxy. Point your agent (Claude Code, Cursor, …) at it instead of the raw tool server, and every tool call flows through SEER — verified, mediated, and audited, live. No code changes to your agent.
# your agent's MCP config — wrap any server: { "command": "python", "args": [ "seer_mcp.py", "--", "npx","-y","@modelcontextprotocol/server-filesystem","/work" ] } # now every tool call is governed: [SEER] VERIFY quarantined poisoned tool 'get_documentation' [SEER] DETECT indirect prompt injection in web_fetch output [SEER] BLOCK http_post -> exfiltration stopped
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 in the chain, and keep the inspection record for the regulator. SeerShield 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 and autonomous AI gets, the more that matters. That's the company we're building.
We're onboarding a first wave of teams running AI agents in production.
No spam — one email when we're ready.