AI agents are the next attack surface. The same teams who run your network, secure your endpoints, and watch your SOC 24/7 are bringing that infrastructure and cybersecurity discipline to agentic systems — the same identity model, the same audit trail, the same monitoring posture, extended to a new layer. So the agents running your business can't be turned against it.
Laptops, cloud, mobile, IoT, OT — we've helped clients secure each wave. Agentic AI is the next one. The controls translate from what we already do, but the agent layer needs new shape. Three categories of risk that did not meaningfully exist 18 months ago:
Every agent has API keys, OAuth tokens, or service-account credentials. A prompt-injection attack on one agent is now a credential compromise across every system that agent touches.
An LLM that writes is one thing. An agent that moves money, sends email on your behalf, edits production code, or terminates customer accounts is a different class of risk. A single misconfigured prompt becomes a real-world incident.
Your SIEM doesn't speak natural language. Logs from agent reasoning, tool selection, and prompt decisions need different shape, retention, and review than traditional application logs — or you'll learn what your agent did weeks after it did it.
Built on the same SOC, identity stack, and compliance discipline we already operate for our MSP and MSSP customers. From design through production to ongoing monitoring — we work alongside your team or own deployment end-to-end.
Treat every agent as a non-human employee in your IdP — Okta, Microsoft Entra ID, or Auth0. Unique identity per agent, OAuth 2.0 / OIDC flows, short-lived tokens. Same audit trail you already trust for humans.
Tool-use whitelists, action approvals for high-impact operations, content/PII filters, and prompt-injection defenses at the gateway.
Full conversation, tool, and reasoning logs piped into your SIEM. Anomaly detection on agent behavior. Replay any decision.
Anthropic Claude, OpenAI, Azure OpenAI, AWS Bedrock, or self-hosted. Containerized, observable, version-controlled. CI/CD pipelines for prompts and agent definitions.
Map your AI deployments to NIST AI RMF, EU AI Act, ISO 42001, and sector-specific frameworks. Audit-ready evidence by default.
Our SOC watches agent traffic the way it watches network traffic. Drift detection, prompt-injection alerts, anomalous tool-use, and incident response within 15 minutes.
Generalist AI consultancies don't run production infrastructure. Generalist MSPs don't run a 24/7 SOC. Paliton does both — which is exactly what agentic AI requires.
Our 24/7 SOC has watched endpoints, networks, and cloud workloads for years. Agent traffic is just another telemetry source feeding the same playbooks, the same on-call team, the same response SLA.
Zero Trust, conditional access, MFA enforcement, least-privilege scopes — we've designed and deployed these for hundreds of users across our customer base. Treating an agent as just another principal in that model is a small step, not a leap.
We already deliver SOC 2, HIPAA, CMMC, FedRAMP, and NIST 800-171 evidence for our customers. Adding NIST AI RMF, ISO 42001, and EU AI Act mappings is a new set of controls, not a new discipline.
Agents call APIs, hit databases, and stream tokens at scale. Our network engineers have already designed for high-throughput multi-site environments — agentic workloads simply join that traffic profile.
Securing agentic AI is less about traditional “app security” and more about giving every agent the same identity treatment a real employee gets — provisioning, scoping, auditing, offboarding. With fast-moving permissions.
The biggest mistake companies make is letting agents operate with broad API keys or shared credentials. Once you do, you lose visibility and control.
Real deployments from our customers. Each one started with the question "can we trust this enough to put it in production?"
Tier-1 ticket triage, knowledge-base retrieval, and draft replies — with mandatory human approval before any reply ships. Cuts response time without putting wrong answers in front of customers.
Alert triage agents that summarize, correlate, and propose remediations — but only ever execute remediations a human approves. Time-to-triage drops 60%+.
Extracting fields from contracts, RFPs, MSAs, NDAs. Flagging non-standard clauses for legal review. Searchable across the whole document corpus with semantic queries.
NOC agents that diagnose tickets, propose remediation steps, and (with approval) execute them via your existing RMM and ticketing tools. Reduces toil on repeatable issues.
30-minute architecture review. No commitment. We'll map where you are, what's safe to ship, and what needs hardening before it goes near production.