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F5 announced its intent to acquire Dublin-based CalypsoAI for $180 million in cash, aiming to address the growing security risks associated with enterprise AI adoption. CalypsoAI specializes in protecting AI systems from emerging threats such as prompt injection and jailbreak attacks, offering model-agnostic security and automated red-teaming. The acquisition is expected to close by September 30, 2025, and will see CalypsoAI's technology integrated into F5's Application Delivery and Security Platform.
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Zscaler has acquired SplxAI, an artificial intelligence security platform, to bolster its zero-trust security capabilities and provide advanced protection for enterprise AI assets. The integration of SplxAI's technology will enable Zscaler to offer enhanced AI asset discovery, automated red-teaming, and governance, addressing the unique security challenges posed by AI applications and services during both development and deployment. SplxAI's platform specializes in identifying and protecting AI models, workflows, and infrastructure, and includes features such as live recommendations for remediating discovered vulnerabilities. The acquisition is part of a broader industry trend of cybersecurity companies acquiring AI-focused firms to strengthen their product portfolios. Zscaler's leadership highlighted that SplxAI brings proven red-teaming, risk scoring, and compliance tracking capabilities, particularly for private and custom-built AI applications. The deal is expected to help Zscaler expand its protection beyond public generative AI, leveraging SplxAI's expertise in continuous testing and governance to secure next-generation AI systems against emerging threats.
Jul 12, 2026CrowdStrike is acquiring AI security startup Pangea for $260 million to bolster protections for enterprise AI use. Pangea's technology addresses risks such as prompt injection, unauthorized access, and AI misuse, and will be integrated into CrowdStrike's Falcon platform. The acquisition aims to secure both AI infrastructure and identity layers, supporting safe adoption of AI agents and workflows.
Jun 29, 2026
Major security vendors have significantly increased their investments in artificial intelligence (AI) security, with a surge in mergers and acquisitions (M&A) aimed at strengthening their capabilities to protect AI systems, applications, and workflows. Cisco initiated this trend by acquiring Robust Intelligence for $400 million, followed by at least eleven more acquisitions involving companies such as Cato Networks, Check Point, CrowdStrike, F5, and SentinelOne, who collectively spent over $1.3 billion to enhance their AI security portfolios. These acquisitions reflect the growing recognition of AI as a critical area for cybersecurity, especially as generative AI technologies like ChatGPT 3.5 have driven public and enterprise adoption. The focus of these deals spans runtime protections, prompt injection defenses, agent identity management, and output validation, as vendors seek to address the unique risks posed by AI systems. Concurrently, the enterprise sector is grappling with the expanded attack surface introduced by integrating AI into business operations, necessitating a strategic shift from traditional patchwork defenses to comprehensive, built-in security and safety measures. Enterprises are now required to evaluate threats such as software vulnerabilities, misconfigurations, broken authentication, and prompt injection attacks, all of which can compromise the confidentiality, integrity, and availability of AI systems. The distinction between AI security and AI safety is becoming more pronounced: while security focuses on defending systems from external threats, safety is concerned with ensuring AI systems behave as intended and remain aligned with organizational values. To address the challenge of AI safety, Anthropic has released an open-source tool called Petri, which uses AI agents to simulate interactions with frontier models and assess their propensity for risky behaviors such as deception, sycophancy, and power-seeking. Early tests of Petri on leading models like Claude Sonnet 4.5 and GPT-5 revealed that, although some models are safer than others, the ability of AI to discern and avoid harmful actions remains imperfect. The tool provides a framework for measuring and triaging safety risks, highlighting the need for both technical and governance solutions. As organizations deploy AI at scale, regulatory compliance and data governance are becoming integral to their security strategies, with vendors and enterprises alike recognizing that robust AI security and safety are essential for trustworthy and resilient AI adoption. The convergence of industry investment, new safety tools, and evolving enterprise risk management practices marks a pivotal shift in how the cybersecurity community approaches the protection and alignment of AI technologies. This mainstreaming of AI security is expected to continue as both the threat landscape and regulatory expectations evolve, driving further innovation and collaboration across the sector.
Jun 29, 2026