“Furthermore, WideField’s technology will strengthen the Cisco Data Fabric by helping incorporate deeper identity and session intelligence, giving customers the context they need to operate AI safely and at scale,” Hathi added. Kamal Hathi, SVP and GM for Splunk, shared the acquisition in a blog post, touting WideField’s ability to standardize and link identity, session, and activity telemetry from multiple sources. The deal will see WideField’s technology integrated into Cisco’s Splunk suite to boost agentic security operation center (SOC) capabilities. This release combines a proven governance foundation with intelligence, automation, and usability that help security teams detect risk earlier, take decisive action, and operate at scale with confidence.” Newly introduced ITDR playbooks automate key remediation actions such as disabling accounts, flagging security incidents, and launching targeted attestation. Version 10.0 builds on that foundation with a modernized experience, deeper integrations, and embedded intelligence that gives security teams clear visibility, stronger control, and more efficient execution across governance workflows.

• Security practitioners disagree because machines and automated systems manage a growing share of operations.
• It’s not just about provisioning users or managing passwords.
• Advances in artificial intelligence (AI) are affecting identity security as both a threat and an opportunity.
• Saviynt on Tuesday announced raising $700 million in a Series B growth equity funding round that values the identity security company at roughly $3 billion.
• “Our partners, including RSA Security, are united by a shared commitment to advancing cybersecurity collaboration, empowering customers to anticipate, identify, and address emerging threats with greater speed, efficacy, and confidence.”

Make identity security a key component of your cyber security strategy. This helps keep attackers out, as simply having an employee’s login credentials is no longer enough for them to gain access. Think of identity security as a well-coordinated team — each component plays a vital role in keeping identities safe and attackers out. In a world where identities are often the weakest link, securing them isn’t just an IT concern — it’s a business imperative to protect your organization from identity-driven breaches and evolving cyber threats.

AI agents inherit the intent-driven actions of human users while retaining the reach and persistence of machine identities. Identities whose goal is to serve human access are centrally governed, role-based, and relatively predictable. Traditional IAM, PAM, and IGA platforms were not designed for agents that are autonomous, decentralized, and adaptive. Only 23.5% of organizations can respond at the speed attackers move. Governance has to run at that speed or it’s just theater.” AI adds identities and accesses data faster than human-paced reviews can track them, and attackers can create an impact in seconds.

The Role of Machine Learning in Identity Detection and Response (ITDR)

• As AI agents gain access to enterprise applications and data, companies need tools to control what these agents can access and what actions they can perform.
• If you find accounts shared across teams, tell your users to update their credentials, set stronger passwords, and make them more unique.
• Join theCUBE’s Alumni Trust Network, where technology leaders connect, share intelligence and create opportunities.
• Instead, AI magnifies existing non-human identity (NHI) risks related to governance, visibility, ownership, and credential lifecycle management.
• Artificial intelligence (AI) and machine learning are transforming identity security from a reactive discipline into a proactive defense mechanism.

Remove unused accounts and reset passwords on any exposed credentials. You could also monitor for impossible travel scenarios where logins occur from geographically distant locations within impossible timeframes. Inactive accounts have retained access rights and thus are prime targets for attackers allowing them a legitimate entry into your systems. They can inject malicious code into software at the manufacturing or distribution stages where machine identities are used by trusted systems. Attackers can also exploit vulnerabilities in token management, impersonate machine identities, and also capture API tokens. These involve stealing password hashes and Kerberos tickets that attackers can use to authenticate themselves and move laterally across networks.

• We are also noticing an increase in decentralized identity ecosystems.
• The best cyber insurance companies also provide a 24/7 breach response service to minimize potential damage.
• Discover best practices for deploying and managing AI workloads on Azure with security, governance, and operational efficiency.
• ITDR tools act like a security camera for identities, watching for unusual behavior like suspicious logins or privilege escalation.
• The deal will see WideField’s technology integrated into Cisco’s Splunk suite to boost agentic security operation center (SOC) capabilities.
• The context needed to understand and resolve identity risk is spread across dozens of systems and workflows, while security teams are still expected to investigate and remediate issues manually.

To truly enable productivity-enhancing usage of GenAI and agents, identity and access considerations should be paramount, according to cybersecurity experts. The growing dominance of AI across every category of security is on full display in 2026—particularly in areas such as identity, access and data security. The number of passkey profiles per tenant increases from three to ten.

These credentials – tokens, API keys, service accounts, secrets and certificates – operate at scale across cloud, SaaS, on-prem, and DevOps ecosystems, often with elevated privileges and little oversight. From credential misuse to lateral movement attempts, machine learning models can detect anomalies across massive volumes of authentication data in real time, reducing false positives and enabling faster response. In this post, we’ll break down what identity security really means, the threats it helps address, key components and best practices, and how it fits into a modern security strategy. Passkeys use cryptographic key pairs to replace passwords, eliminating phishing and credential theft. Common identity security threats include credential stuffing where attackers use stolen password lists across multiple sites.

Role of Zero Trust in Identity Security

Cloud environments are incredibly dynamic, with machine identities often outnumbering human users by 82 to 1. Unit 42 data shows that 60% of http://www.lacasitaroja.info/why-arent-as-bad-as-you-think-12/ social engineering incidents lead to data exposure, making identity-centric controls a legal and operational necessity. A comprehensive identity security strategy is built on three foundational pillars that work in tandem to manage the identity lifecycle from creation to deletion.

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Continuous monitoring catches suspicious activities early, before attackers can do serious damage. When you have strong authentication, even stolen passwords https://hmtf.info/the-art-of-mastering won’t work without the second factor. Identity security prevents breaches by making it much harder for attackers to gain and maintain access to your systems.

Benefits of Identity Security

“Together with Fabrix, Silverfort’s platform will empower enterprises to protect their human, non-human, and agentic identities and their access, dynamically and continuously, using a runtime AI decisioning engine. Fabrix’s innovative technology and track record across AI, security and identity bring the expertise needed to create the new standard for Identity Security in the AI era.” The surge of non-human and agentic identities in enterprises, along with their speed and unpredictable access behavior, is breaking traditional identity and access tools. With Fabrix’s identity-centric AI decisioning engine that can handle the speed of non-human and agentic identities, and Silverfort’s unique Runtime Access Protection (RAP) technology that can continuously enforce those decisions everywhere, enterprises will be able to adopt agentic AI and scale their business without losing control. As enterprises move toward multi-agent systems, traditional logging models break down. Security leaders have spent years hardening identity controls for employees and service accounts.