Agent goal hijacking
Injected or untrusted instructions redirect an agent away from the task you intended.
AI + agentic security
Your agents are acting.
Can you see them?
Enterprise AI is moving from answers to actions. Sevenpoynt Security helps you discover where agents operate, understand what they can reach and enforce control before autonomy becomes exposure.
Discuss an AI deployment ↗The changed attack surface
Traditional controls were built for users and software. Agents are both.
An agent can interpret, plan, use tools, retain context and initiate action. That creates risks that are architectural and behavioural—not just another vulnerability to patch.
Tool misuse
Legitimate permissions and tools become the route to an unintended or damaging action.
Identity + privilege abuse
Agents inherit credentials, access and authority that exceed the real business need.
Agentic supply chain
Models, MCP servers, skills, plugins and dependencies create new trust boundaries.
Data + memory poisoning
Sensitive data leaks out—or hostile content becomes trusted context for later decisions.
Cascading failure
One bad decision propagates across agents and systems faster than people can intervene.
What we do
Control the agent lifecycle.
Start with visibility. Apply proportionate guardrails. Test what happens when instructions, identities and tools are pushed beyond the happy path.
Discover
Inventory sanctioned and shadow AI, agents, owners, models, data, identities, tools and MCP connections.
Threat model
Map goals, trust boundaries, high-impact actions, abuse paths and the human decisions that must remain human.
Design controls
Apply least privilege, temporary credentials, policy gates, isolation, logging, kill switches and safe defaults.
Test + assure
Exercise prompt injection, goal manipulation, tool abuse, data leakage and unsafe action chaining.
Monitor + improve
Observe runtime behaviour, detect drift, investigate anomalies and keep controls aligned as agents change.
Platforms in scope
Microsoft CopilotChatGPT EnterpriseSalesforce AgentforceServiceNowAWS BedrockAzure AI FoundryGoogle Vertex AICustom agents + MCP
Grounded in emerging practice
New risks. Recognisable discipline.
We align the work to the OWASP Agentic Top 10, NIST agent-security and identity work, NCSC adoption guidance and your existing governance model.
Start small. Design for control.
Put one agentic workflow under the microscope.
A focused discovery and threat-modelling engagement is the fastest way to understand whether your controls are ready to scale with your AI ambition.
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