- The company’s key technologies, HiddenLayer MLDR, ModelScanner, and Security Audit Reporting, make up the HiddenLayerMLSec Platform.
- Along with announcing the new platform, HiddenLayer is looking for early design partners to help them with their cybersecurity needs as they raise their investments in AI and want to do so safely.
HiddenLayer Inc., a provider of security solutions for machine learning algorithms, models and the data that power them, today announced the public launch of a new Artificial Intelligence (AI) cybersecurity platform that enables security operations and data science teams to defend their AI investments from adversarial machine learning attacks.
The company’s key technologies, HiddenLayer MLDR, ModelScanner, and Security Audit Reporting, make up the HiddenLayerMLSec Platform. HiddenLayer MLDR uses a machine learning-based method to monitor model events in real-time and spot fraudulent activity without requiring access to the company’s models or confidential training data.
The business contends that adversarial machine learning assaults are the newest and most destructive development of the threat landscape targeting cutting-edge and significant technologies. The threats are an extension of classic cybersecurity threats like malware, spam, ransomware, phishing, and data breaches and modern surroundings are not equipped to defend against the attacks.
The platform’s components include real-time defence, flexible reaction options, and finely adjustable settings that may be tailored to the requirements of an organization. The ModelScanner scans and guarantees model integrity by locating vulnerabilities and verifying that malicious code injections have not compromised models.
Security Audit Reporting, which verifies machine learning model security across the company, offers a comprehensive overview of the security condition of AI and ML assets. On-demand dashboards and distributable reporting come along with vulnerability prioritization.
Malcolm Harkins, chief security and trust officer at Epiphany Systems Inc., one of HiddenLayer’s current clients, said, “The rapid adoption of AI/ML introduces a new attack surface for threat actors to exploit, so we need the tools and knowledge to be able to shed light into the areas our machine learning models are most vulnerable to attack. The HiddenLayer team consists of subject matter experts in the domain of artificial intelligence and cybersecurity. They have developed products that allow our Security Operations teams to stay ahead of the new threats in AI.”
Along with the announcement of the new platform, HiddenLayer is also looking for early design partners to help them fulfill their cybersecurity needs as they raise their investments in AI and want to do so safely.
Startup HiddenLayer has raised six million dollars to date and is backed by venture capital. Ten Eleven Ventures is one of the investors in the business, according to Crunchbase.