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Saturday, December 10, 2022

Data Forgery Protection Technology to Defend Critical Industrial Control Systems from Cyber Threats Unveiled

According to Haifa, Israel–based APERIO Systems, it has launched the industry’s first technology that “detects artificial manipulations of industrial process data, enabling operators to take real-time corrective action without service disruption to industrial control systems (ICS) –from the rate of gas flow at a petroleum refinery, to the temperature and spin rates of turbines in a power plant, or the chlorine level of water supply networks.”

APERIO Systems said its proprietary Data Forgery Protection (DFP) technology delivers the last line of defense in protecting critical SCADA systems against insider and external threats. Industrial cybersecurity startup protects SCADA systems by detecting and immediately correcting falsified readings for unprecedented operational resilience.

“Current solutions focus on keeping hackers outside critical systems, but attacks like the one that took down the power grid in Ukraine clearly show that sophisticated attackers will eventually penetrate these systems,” said cybersecurity veteran Doron Bergerbest-Eilon. “Once attackers breach a system, they must blind the operators and protection mechanisms by falsifying data in order to inflict severe and long-lasting damage. This entirely new category of Data Forgery Protection (DFP) is the key to keeping our critical infrastructure safe from attacks.”

APERIO Systems secured seed funding from a consortium of private investors, including Bergerbest-Eilon, who is known for his role in establishing the agency charged with protecting all critical infrastructure in the State of Israel and is the former director of the security and protection division of the Israel Security Agency (ISA). He is currently the founder, president and CEO of ASERO Worldwide, a security consulting firm. Tancman and Boutnaru, who played key roles in building Israel’s cybersecurity capabilities, founded predictive cybersecurity startup CyActive, which was acquired by PayPal in 2015.

“Think of APERIO Systems as a polygraph for process data — it detects when your system is lying to you,” said Yevgeni Nogin, CEO of APERIO Systems. “With the unrelenting tenacity of cybercriminals, critical infrastructure breaches are inevitable. By guaranteeing the authenticity and integrity of operational data, APERIO Systems ensures that operators always know what’s really going on, enabling them to react quickly to a breach and take corrective action — making the critical systems resilient to the most dangerous of attacks.”

The company said, “Industrial control systems are generally outdated from a cybersecurity perspective, vulnerable and difficult to patch because mission critical systems cannot be taken offline. While the threat to ICS is growing, critical systems security products on the market today are intrusive, hard to maintain, costly to integrate, and often produce vague and unactionable alerts, which cannot be acted upon by critical utility control rooms.”

APERIO Systems said its “advanced proprietary algorithms search for the data’s unique fingerprints and validate its authenticity. Any mismatches generate an alert and APERIO Systems pinpoints the attacked equipment and forged process data. Using a sophisticated combination of physics and state-of-the-art machine learning techniques, APERIO Systems reconstructs the real values of the forged operational data and reverts it to its original state in real time — establishing unprecedented operational resilience.”

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The Government Technology & Services Coalition's Homeland Security Today (HSToday) is the premier news and information resource for the homeland security community, dedicated to elevating the discussions and insights that can support a safe and secure nation. A non-profit magazine and media platform, HSToday provides readers with the whole story, placing facts and comments in context to inform debate and drive realistic solutions to some of the nation’s most vexing security challenges.

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