Concentric AI Anthropic Compliance API integration is a huge step toward improving enterprise data security. The company released an integration with the Anthropic Compliance API for Claude. The company’s Anthropic Compliance API integration offers robust audit of activity.
As adoption of GenAI grows at an accelerated rate, organizations are seeing a rising data security concern. The Claude Platform is increasing in popularity amongst developers and enterprises. However, most organizations are still immature when it comes to governance of their GenAI rollout and the risk to sensitive data is only increasing. As part of the rollout of the Claude Platform, Concentric AI’s Semantic DLP is used to scan the prompts, responses, and attachments from all interactions with Claude and allows the organization to monitor browser and application activity.
“With this new integration, Concentric AI Semantic DLP empowers organizations to harness the revolutionary capabilities of the Claude Platform while meeting their need for robust data security governance,” said Karthik Krishnan, Founder and CEO of Concentric AI. “This release continues our commitment to providing organizations with a single end-to-end platform that protects all their sensitive data, wherever it lives and however it travels. Now, users can enjoy Claude’s productivity and innovation while maintaining visibility and protection for their most valuable asset – their data. Supporting this use case shifts our AI-driven data security governance platform from risk reduction and compliance to a business enabler as well.”
Strengthening AI Data Security Governance
Current solutions may fail to manage such risks as their approach is outward-facing. The solutions deal with external users and not with the malicious internal users. This solution on the other hand determines risks based on authenticated users. It prevents accidental or willful divulging of confidential information to AI prompts. Furthermore, Semantic DLP uncovers shadow IT solutions used by employees. It allows security teams to develop policy-based guardrails that prevent sensitive data leakage or redact it in real-time. Organizations therefore limit data leakage.
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News Source: Businesswire.com
