Strengthen and optimize cyber operations
Accelerate defensive and offensive cyber strategies by automating repetitive tasks, improving reconnaissance, and scaling testing to stay ahead of evolving cyber threats.
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Problem
Traditional penetration testing can’t keep up with the growing complexity, speed, and sophistication of modern cyber threats.
System complexity
Cloud, IoT, and microservices architectures expand attack surfaces and are difficult to map
Evolving threats
Adversaries now use AI and automation, shrinking the window to detect vulnerabilities
Time and resource drain
Manual testing is slow, expensive, manual and often incomplete
Skills shortage
Security talent gaps and staffing shortages limit how often and how deeply tests can be performed
Tedious reporting
Documentation consumes valuable time and reduces focus on higher-impact testing
Solution
Seekr transforms penetration testing with an agentic AI co-pilot that automates security operations and penetration testing, for faster, more accurate and scalable red-teaming, without consultants.
Automation
Offloads repetitive scanning, data collection, and reporting tasks to simultaneously analyze multiple threats
Speed
Accelerates reconnaissance and vulnerability identification
Adaptivity
Continuously learns from new threats and updates test logic automatically
Accuracy
Enhances detection with pattern recognition and data-driven intelligence
Efficiency
Reduces costs and improves scalability without sacrificing depth or hiring additional resources
How it works
Seekr’s specialized cybersecurity AI agents work together to automate, scan, map threats and take action. Multiple specialized AI agents work together to red-team, creating and executing penetration testing from start to finish.
Project Manager AI Agent
Develops a plan by analyzing scans (or evaluation of authenticated PCAP)
Cyber Analyst AI Agent
Analyzes scan results and results of enumeration and exploitation attempts and identifies opportunities and priorities
Researcher AI Agent
Uses document RAG against CVE/CPE documentation, and other sources, to identify potential threat vectors
QA AI Agent
The Code Assessor evaluates the results of code execution, and confirms/denies success, making recommendations to improve code
Built on SeekrFlow
Edge-Compatible Data Engine
Parses scan logs, label files, and routing data from decentralized systems
Agent Framework
Planner and Evaluator agents coordinate multi-step investigations
LLM-RAG
Generates grounded, natural language explanations for suspicious label behavior
0x
more accurate model responses
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faster to prepare a dataset vs. others
0
minutes or less to build a production-grade LLM
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AI Evaluation & Certification
Evaluate and vet LLMs and AI applications for bias, accuracy, and risks to ensure trust and transparency.
SeekrScribe: Accelerated Procurement & Solicitations
Shrink procurement, proposal, and vendor evaluation time from months to minutes.
Customer & Citizen Services
Engage customers and citizens in natural, scalable ways—powered by your data.
See it in action
See how this AI solution works for your team. Request a live walkthrough with one of our experts and explore how it can adapt to your unique workflows and data.
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