🚀 AWS REINVENTS AI AGENTS: SECURITY, MEMORY, AND EVALUATION IN AMAZON BEDROCK AGENTCORE
Amazon Web Services has just raised the bar for enterprise AI with revolutionary updates to Amazon Bedrock AgentCore.
At the AWS re:Invent 2025 conference, capabilities were revealed that transform how companies build, control, and trust autonomous AI agents.
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🛡️ 🔐 POLICY IN AGENTCORE: CONTROLS IN NATURAL LANGUAGE
Now, developers can set security limits using simple instructions in Portuguese or English.
The system automatically verifies each agent's action and halts any violations.
📌 Practical Applications:
🎯 Type of Control 📝 Example ✅ Business Impact
Access Controls Restrict access to sensitive data Enhanced security and compliance
Third-Party Integration Limit interactions with Salesforce or Slack Prevents data leaks
Financial Limits Automatic refunds up to $100, above that human review Risk management and fraud prevention
💬 “These limits integrate with the AgentCore Gateway, which automatically checks each agent's action” — David Richardson, VP of AgentCore.
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🧠 💾 AGENTCORE MEMORY: PERSISTENT CONTEXT
Agents can now remember user preferences and history over time, allowing for personalized and contextually rich interactions.
✅ Example:
A customer support agent knows you have reset your password twice this month and suggests two-factor authentication.
📊 📈 AGENTCORE EVALUATIONS: 13 MONITORING SYSTEMS
AWS introduced 13 pre-built metrics to evaluate AI agents in real-time, monitoring:
· ✅ Correctness of responses
· ✅ Security of interactions
· ✅ Accuracy in tool selection
· ✅ Compliance with internal policies
This gives companies full transparency into the performance and reliability of their agents.
⚡ WHY DOES THIS MATTER FOR THE AI MARKET?