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SecurityScorecard's HEID AI Boasts 80% Boost in Breach Prediction Accuracy

By Greg Tavarez

Data breaches, ransomware attacks, and other malicious activities cost companies billions of dollars annually, which disrupts operations and damaging reputations. In fact, the global average cost of a data breach in 2023 was $4.45 million, according to IBM. That’s why the cybersecurity industry has witnessed a surge in innovation, with companies developing increasingly sophisticated tools to identify and counter evolving threats.

In a move designed to improve breach prediction, security ratings company SecurityScorecard announced the official launch of HEID AI, its AI platform that emerged from beta testing.

HEID AI, which stands for Highly Evolved Intelligence Defense, leverages SecurityScorecard's risk and threat dataset to identify critical cybersecurity issues before attackers can exploit them. The company claims HEID AI delivers an unprecedented 80% increase in breach prediction accuracy while minimizing false positives to under 1%.

This development comes at a time when cyberattacks are a constant threat to businesses of all sizes. By offering a more precise prediction model, HEID AI aims to equip security professionals with the tools to proactively address vulnerabilities and bolster their overall cybersecurity posture.

SecurityScorecard emphasizes a risk-based approach to threat intelligence, investigation and response. The company has spent the past decade building its vast dataset, which they claim is 99% owned in-house. This, they say, allows for unparalleled accuracy and speed in threat detection.

HEID AI harnesses this extensive collection of data, curated by SecurityScorecard's team of threat intelligence specialists. This data includes monitoring of activity across 4 billion IPs and domains, detection of sensitive data leaks by scanning 7 billion leaked credentials and PII and cataloging of 100 billion vulnerabilities weekly.

SecurityScorecard positions HEID AI as a solution that goes above the standards set by traditional threat intelligence offerings. The platform delivers a better view of an organization's security posture by combining real-time threat detection with historical data analysis.

By automating threat detection and analysis, HEID AI aims to expedite the response time to potential security incidents. This allows security teams to address vulnerabilities before attackers can capitalize on them.

Early and accurate threat detection gives organizations a significant edge in the ongoing game of cyber defense. SecurityScorecard suggests that HEID AI equips security professionals with the knowledge to stay ahead of attackers.

HEID AI's automation features can streamline security operations by freeing up valuable time for human analysts. This allows security teams to focus their efforts on more complex tasks that require human expertise.

The real-time insights provided by HEID AI empower security teams to identify and address vulnerabilities before they become critical breaches. This proactive approach is a cornerstone of effective cybersecurity strategy.

“SecurityScorecard is an AI company as much as we are a cybersecurity company. We utilize AI across our entire platform, from data collection to scoring,” said Jason Ferrante, Vice President of Data Science, SecurityScorecard. “With our in-house threat intelligence and access to data from all public attack surfaces, we leverage billions of signals to measure and validate security like no other. This is why our breach correlation outperforms the competition.”

The long-term impact of HEID AI on the cybersecurity landscape remains to be seen. However, SecurityScorecard's claims of improved breach prediction accuracy have the potential to be a game-changer for organizations struggling to stay ahead of cyber threats.



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GenAIToday Editor

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