Traditional applications wait for instructions. Agentic AI can interpret goals, access data, call tools, communicate with other systems, and take action. That autonomy creates business value—but it also creates a new attack surface. 1600 Cyber helps organizations secure generative AI applications and autonomous agents across design, implementation, deployment, and operation.
AI agents do not operate in isolation. They connect to identities, business applications, cloud environments, APIs, databases, models, plugins, memory, and other agents.
Security must protect the complete AI system—not only the model.
Define exactly what an agent may do, which actions require approval, and when the system must stop or escalate.
Reduce the risk of confidential information being exposed through prompts, outputs, retrieval systems, memory, logs, or integrations.
Give agents narrowly scoped identities, permissions, credentials, and access appropriate to their assigned purpose.
Assess APIs, plugins, models, data sources, third-party components, and agent-to-agent connections before they become trusted paths into the organization.
Log and monitor what agents access, decide, generate, and execute—making abnormal or unauthorized behavior easier to detect and investigate.
Create playbooks for containing compromised agents, revoking access, preserving evidence, and restoring safe operations.
Every agent should have a defined identity, purpose, owner, and narrowly scoped access.
Agents receive only the data, systems, tools, and permissions required for their assigned task.
High-impact, irreversible, financial, privileged, or externally visible actions require additional validation or human approval.
Sensitive workloads, tools, memory, and data are separated to limit exposure and reduce the impact of compromise.
Prompts, tool calls, data access, outputs, decisions, and actions are logged and monitored.
The organization can pause an agent, revoke credentials, block an integration, isolate a workflow, and return control to a human.
AI systems are tested throughout their lifecycle as models, prompts, data, tools, permissions, integrations, and business processes change.
Identify AI systems, agents, models, data flows, identities, memory, tools, APIs, permissions, users, and external dependencies.
Evaluate how the AI could be manipulated, compromised, misused, or induced to produce harmful outcomes.
Implement preventive, detective, responsive, and recovery safeguards across the AI ecosystem.
Evaluate security through structured assessments, attack simulation, scenario testing, and agent-behavior validation.
Detect abnormal activity, investigate events, contain unsafe agents, and continuously strengthen the control environment.
1600 Cyber brings both disciplines together so that policy, architecture, implementation, monitoring, and response operate as one system.
1600 Cyber combines cybersecurity engineering, security operations, incident response, AI governance, resilience, and practical AI implementation.
We do more than identify AI risk. We help organizations design the controls, implement the safeguards, test the environment, monitor operations, and prepare for AI-related incidents.
We advise. We build. We implement. We test. We help operate.