Multi-Step Reasoning Drift
Give an agent a goal and it makes its own plan. A hallucination or a misread instruction a few steps in, and it ends up taking an action you'd never have approved.
Expanded Attack Surface
Agents take in far more than your prompt: support tickets, database results, file attachments, tool outputs. Hidden instructions in any of it can quietly redirect what the agent does.
Blind Audit Trails
Your logs show the final action, the changed record, the sent email. They don't show the reasoning that led there, so when something goes wrong, you can't tell what convinced the agent to do it.
REAL INCIDENTS
It's already happening
As companies move from chatbots to agents, the failures change shape. These three are public, and none of them needed a traditional hack.
A support agent talked into refunding fraud
A coding agent wiped a live database
One poisoned email spread across a network of agents
THE STAKES
The consequences don't stay technical
When an agent goes wrong, the cost is real. It shows up in your operations, your finances, and your standing with regulators.
Operational Damage
Agent incidents leave real footprints: modified records, unauthorized emails, or merged code. Cleaning up these unapproved actions takes weeks, and some of it can't be reversed.
Fraud Exposure
When agents hold permissions to move money, grant access, or issue refunds, prompt manipulation becomes a direct path to financial fraud. The more it can do, the bigger the loss.
Regulatory Exposure
"The AI did it" is not a defence. Under rules like the EU AI Act, an agent that decides on its own brings strict obligations, and you'll be expected to show exactly what it did, and why.
THE FIX
How Beyond Guard Addresses It
Agent risk isn't one problem with one fix. The threat surfaces are spread across the prompts that drive the agent, the content the agent reads, the tools the agent calls, and the connections the agent makes to external systems.
Intent & Action Governance
Agent Guard
Monitors the agent’s internal planning process and strictly limits the real-world actions it is allowed to execute.
Workflow
The user gives the agent a high-level task.
Agent Guard continuously monitors the agent's internal reasoning chain to catch plan drift or infinite loops before an action is taken.
The guard enforces strict tool whitelisting, verifying that the agent is permitted to call that specific API or parameter.
The action is mapped back to a human identity, ensuring every single transaction is fully attributed and authorized in the audit logs.
External Connection Security
MCP Guard
Discovers, risks-scores, and regulates the connections your agents make to external MCP servers.
Workflow
The agent attempts to connect to an external tool or data source via an MCP server.
MCP Guard automatically discovers the connection and scores the destination server for potential security risks.
The guard intercepts the handshake before the connection is established to scan for malicious tool descriptions designed to hijack the agent.
Unauthorized or high-risk external connections are blocked entirely, isolating the agent within your secure perimeter.
Indirect Input Sanitization
Context Guard
Strips hidden instructions out of the content your agent reads, before it acts on them.
Workflow
The agent reads external content required for its task (such as incoming emails, customer support tickets, or retrieved RAG documents).
Context Guard intercepts this data before it blends into the agent's active context window.
The fine-tuned classification engine parses the raw text to locate hidden "indirect prompt injection" payloads.
The proxy sanitizes the content, removing adversarial commands while safely passing the clean data to the agent.
