Agentic AI
OpenAI’s disclosure pushed Anthropic to inspect 141,006 AI logs, and uncover incidents victims never detected. What are other AI vendors missing, and how many attacks remain unattributed?
Agentic AI
Organizations are racing to adopt AI, but weak security, poor implementation and limited expertise are causing failed investments, lost value and a rapidly expanding attack surface.
Agentic AI
AI models operate inside a larger system of identities, data, tools, infrastructure and applications.
Agentic AI
AI agents can now run code, browse websites, access files and interact with external tools. To reduce the risk, these actions are often performed inside a sandbox.
Agentic AI
Artificial intelligence is moving from a technology that generates information to one that can reason, use tools, access data, write and execute code, interact with business systems, and increasingly take actions autonomously.
Agentic AI
An intelligent AI harness that connects your tools, files, agents, and workflows—helping every user work, search, learn, and automate using natural language.
AI
Cybersecurity has produced an enormous amount of intelligence over the years: reports, CVE advisories, blog posts, breach disclosures, incidents, and vendor threat research. Every week, hundreds of new documents appear describing attacks, malware campaigns, vulnerabilities, and threat actors.
An intelligent AI harness that connects your tools, files, agents, and workflows—helping every user work, search, learn, and automate using natural language.
Today’s cyber landscape, organizations aren’t short of data, they’re drowning in it. What leaders really need is trusted intelligence: knowledge that is validated, contextual, and actionable
Turn noisy feeds into decisions your security program can live with.
Amid noisy feeds and slow updates, analysts fall behind while execs see risk differently. LIDAR Kinesis centers the human: it collects intel, validates it, maps behaviors, and turns raw data into clear lessons, so analysts learn faster, leaders act, and tools run on verified CTI.
Rabitanoor
brings three things together in one place: the report library (Documents), the ATT&CK map (Navigator), and the actions/workflow (Attack Path + Hunt Pack). Once you know what each area is for, it becomes much easier to use ...
Most threat intel platforms tell you what’s happening in the world. Threat Library tells you what’s happening to your products and then uses AI to convert that intelligence into actionable decisions for Blue Teams, Red Teams, and leadership.
The diagram below explains a mature, real-world cybersecurity program where decisions are driven by business goals, risk, and intelligence, not by technology alone
Every day, businesses are targeted by criminals, but these criminals are digital. They don’t break doors; they break systems. And they don’t usually attack in one move. They take steps: find a weakness, test access, move quietly, then reach something valuable like data, money, or operations.
The fundamentals of cybersecurity are about protecting an organization’s assets from threat actors who use tools and exploits to execute tactics, techniques, and procedures (TTPs) that produce malicious outcomes, such as unauthorized access, disruption, fraud, or data theft.
Today’s cyber landscape, organizations aren’t short of data, they’re drowning in it. What leaders really need is trusted intelligence: knowledge that is validated, contextual, and actionable
Turn noisy feeds into decisions your security program can live with.
Amid noisy feeds and slow updates, analysts fall behind while execs see risk differently. LIDAR Kinesis centers the human: it collects intel, validates it, maps behaviors, and turns raw data into clear lessons, so analysts learn faster, leaders act, and tools run on verified CTI.
Security analysts often must sift through massive volumes of logs, alerts and telemetry data. Identifying anomalies such as stealthy intrusions, lateral movement or data exfiltration can be time-consuming and error prone
As smart devices quietly harvest our data, we risk losing control in an AI-driven world. Will technology propel us toward a future where humans evolve into humanoid robots, replacing broken parts like machinery? The choices we make today shape our tomorrow.
As brain-computer interfaces and AI advance, the idea of downloading thoughts into computers blurs the line between human and machine. Could this lead to digital immortality, where humanoid robots inherit our consciousness? The quest for eternal life might soon be within reach.
A structured cybersecurity reporting framework—linking assets, threats, CVEs, alerts, and incidents—empowers proactive threat management. By correlating data, it enhances situational awareness, incident response, and lays the foundation for AI-driven cybersecurity.