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S2-D2

S2-D2 offers an automated defense platform that detects and mitigates social engineering and zero-day cyber threats. It analyzes communication channels and user interactions to identify sophisticated attacks like deepfake impersonations, triggering automated workflows to block threats and minimize impact.

Chicago, United StatesFounded 2023410+ followers
Updated 4 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Social engineering attacks, amplified by generative AI, exploit human trust to compromise systems, leading to significant financial and operational disruptions. Existing cybersecurity solutions often fail to detect these sophisticated, evolving threats until substantial damage has occurred, increasing remediation costs and impact.

Solution

S2-D2 provides an automated defense platform designed to detect and mitigate social engineering and zero-day cyber threats at their inception. The platform integrates with existing security infrastructure to enhance overall posture and reduce the dwell time of malicious actors. By analyzing communication channels and user interactions, S2-D2 identifies anomalous behavior indicative of social engineering tactics, such as deepfake voice or video impersonations, and unauthorized data exfiltration. Upon detection, the system triggers automated security workflows to block malicious transactions and alert security teams, thereby minimizing the financial and operational impact of security incidents.

Target Audience

The primary target audience includes organizations seeking to bolster their defenses against sophisticated social engineering attacks, particularly those in finance and accounting departments that handle high-value transactions.

Features

  • Real-time monitoring of communication channels for social engineering indicators.
  • Generative AI-powered threat detection, including voice and video impersonation analysis.
  • Automated validation of communication authenticity against established sources of truth.
  • Threshold monitoring for detecting large or atypical data transfers and unusual application access.
  • Integration capabilities to augment and leverage existing cybersecurity solutions.
  • Automated security workflow orchestration upon threat detection.
  • Early detection of zero-day and evolving threat vectors.
This profile is AI-generated and may contain inaccuracies.