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Booz Allen Doubles Down On Adversarial AI Capabilities With New Investment

By Business Wire

Business Wire
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HiddenLayer’s MLSec platform brings added scale to Booz Allen’s ability to protect federal AI missions

MCLEAN, Va.--(BUSINESS WIRE)--Booz Allen Hamilton (NYSE: BAH) – the largest single provider of artificial intelligence services for the Federal government – today announced that its corporate venture capital arm, Booz Allen Ventures, has made a strategic investment in HiddenLayer, a security platform that safeguards machine learning (ML) models. This investment strengthens and expands Booz Allen’s tenured Adversarial AI capabilities, including those developed for the Department of Defense and intelligence clients, and will further accelerate secure adoption of enterprise AI solutions to keep pace with emerging national security threats as well as rising consumer expectations.

“Every AI-enabled solution should be assessed for risk and appropriately protected from adversarial attacks – especially as the government looks to deploy AI capabilities in increasingly important applications,” said Matt Keating, leader of Booz Allen’s Adversarial AI portfolio. “Our clients operate in complex environments that require AI models be highly specialized, rapidly deployable, and secure. The HiddenLayer investment by Booz Allen Ventures better positions us to integrate startup, commercial, and open source innovation to rapidly augment our existing capabilities. Ultimately, allowing us to more quickly and confidently delivery robust AI capability to our clients – and the country at large.”

With increased AI adoption – specifically AI models deployed within mission critical systems – the risk surface increases for federal, defense, civil, national security and commercial users, with bad actors looking to exploit and accelerate cyber threats. The newly announced investment in HiddenLayer will complement and accelerate Booz Allen’s existing Adversarial AI capabilities, a leader for over five years in advancing machine learning (ML) methodologies to safeguard systems against attack.

This includes a long-standing focus on addressing key challenges with model security, such as data poisoning, data leakage, model evasion, and malicious code injection. In addition, Booz Allen has also led advanced research to assess the adversarial image perturbation robustness for computer vision models and how manipulated tabular data can enhance the behavior evasive capabilities of Microsoft Windows malware.

“Using pre-trained open-source models is an overall net positive, but this foundation also puts AI models at greater risk for adversarial attack. This tension is a threat that organizations need to be aware of, plan for, and get ahead of, as our adversaries are doing just that,” said Edward Raff, chief scientist at Booz Allen and leader of the Booz Allen ML research team, which has been publishing academic research on adversarial AI since 2018.

This is the latest AI-focused investment by Booz Allen Ventures, which identifies and invests in strategic, dual-use commercial technologies, with recent investments including Shift5, Credo AI, Hidden Level, Latent AI, Synthetaic, and Reveal Technology. The investment also builds on Booz Allen’s focused efforts and missions around Generative AI and Responsible AI, providing a robust security foundation as AI use increases.

“HiddenLayer’s powerful platform and expert team has proven effective in securing AI from a broad range of threats, so we quickly identified them as a partner that can support and protect our AI deployments,” said Travis Bales, Managing Director at Booz Allen Ventures. “From our early discussions, it was clear to us that the HiddenLayer team has the vision and execution to continue developing security for the emerging AI market.”

Booz Allen’s recent investment now enables Federal agencies to capitalize on HiddenLayer’s award-winning Machine Learning Detection & Response platform, as well as Booz Allen’s AI security research, risk and vulnerability assessments, managed detection and response services—all paired with AI security engineering best practices, tools and technologies.

"Booz Allen continuously proves its commitment to developing AI capabilities that are robust, secure, and offer the technical depth needed by the Federal government. Their 360-degree approach to AI combined with their steadfast commitment to HiddenLayer's vision since our founding made them a perfect partner for the next stage of our growth,” said Chris Sestito, Co-Founder & CEO at HiddenLayer. “Bringing together our MLSec platform and their purpose-built AI solutions ensures our government can continue to innovate through AI adoption with confidence knowing they are secure from all types of cyber-attacks, including those from nation-states."

Learn more about Booz Allen’s work in Adversarial AI and about Booz Allen Ventures.

About Booz Allen Hamilton

Trusted to transform missions with the power of tomorrow’s technologies, Booz Allen Hamilton advances the nation’s most critical civil, defense, and national security priorities. We lead, invest, and invent where it’s needed most—at the forefront of complex missions, using innovation to define the future. We combine our in-depth expertise in AI and cybersecurity with leading-edge technology and engineering practices to deliver impactful solutions. Combining more than 100 years of strategic consulting expertise with the perspectives of diverse talent, we ensure results by integrating technology with an enduring focus on our clients. We’re first to the future—moving missions forward to realize our purpose: Empower People to Change the World®.

With global headquarters in McLean, Virginia, our firm employs approximately 32,600 people globally as of June 30, 2023 and had revenue of $9.3 billion for the 12 months ended March 31, 2023. To learn more, visit www.boozallen.com. (NYSE: BAH)

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Contacts

Media Relations: Amanda Allison-Martini, Allison_Amanda@bah.com
Investor Relations: Nathan P. Rutledge, Rutledge_Nathan@bah.com

First published on Tue, Sep 26, 2023

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Booz Allen Hamilton Artificial Intelligence Services Machine Learning (ML) National Security Threats

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