Symantec Promotes AI Capability to Predict Attackers’ Next Moves
Summary
Symantec says Incident Prediction analyzes behavioral patterns from 500,000 attack chains to anticipate attackers’ next steps. The company claims it identifies high-confidence sequences in 80% of real-world incidents and can support early disruption.
Key points
- Symantec describes Incident Prediction as using behavioral analysis and probability scoring to forecast likely steps in an active attack.
- The company says the capability was trained on more than 500,000 attack chains analyzed by Symantec and Carbon Black Threat Hunters.
- Symantec claims the system identifies high-confidence attack sequences in 80% of real-world incidents.
- The article describes correlating signals across domains, such as a phishing-delivered beacon, network-share listing, and remote scheduled task.
- Symantec says defenders can use predictions to disrupt attack chains early and apply protective policies that revert to baseline after a threat is neutralized.
Article Details
- Event Type
- Promotional article about a predictive AI cybersecurity capability.
- Impact
- The article describes Incident Prediction, part of Symantec CBX, as using behavioral analysis and probability scoring to anticipate an attack’s next three to four moves and potentially disrupt it before impact. It claims the capability identifies high-confidence attack sequences in 80% of real-world incidents and was trained on more than 500,000 attack chains analyzed by Symantec and Carbon Black Threat Hunters.
Vendors
Products
Incident PredictionThat’s the unique, exclusive power behind Incident Prediction, a predictive AI capability engineered to uncover patterns and transform them into foresight. Symantec CBXWatch How to Predict Bad Actor Moves With AI for an exclusive look at Incident Prediction, part of Symantec CBX, and how security teams can use AI to disrupt attacks earlier in the sequence. Or reach out to your