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Help Net Security

Police arrest 10 suspected members of Black Axe cybercrime gang ShinyHunters claims it stole 1.4 million records from Udemy Sevii unveils Cyber Swarm Defense Mode to stop AI-driven attacks at scale Alleged Chinese hacker extradited to US over cyberattacks targeting COVID-19 research Cequence Agent Personas bring granular control and governance to enterprise AI agents NowSecure MARI gives enterprises evidence-based visibility into third-party mobile app risk The metrics killing your SOC, and what to use instead US state privacy fines reached $3.425 billion in 2025 Canada’s first SMS blaster case leads to three arrests Linux storage management tool Stratis 3.9.0 adds online encryption and cache-less pool startup TLS Connect gives SMBs a right-sized automated tool to manage TLS certificates Aptori expands its platform with autonomous offensive testing to reduce security bottlenecks Your IAM was built for humans, AI agents don’t care The AI criminal mastermind is already hiring on gig platforms 25 open-source cybersecurity tools that don’t care about your budget Product showcase: LuLu reveals unauthorized outbound connections from Mac apps Week in review: Claude Mythos finds 271 Firefox flaws, Vercel breach Users advised to drop passwords and make room for passkeys - Help Net Security Indirect prompt injection is taking hold in the wild - Help Net Security Compromised everyday devices power Chinese cyber espionage operations - Help Net Security New Cisco firewall malware can only be killed by pulling the plug - Help Net Security Meta is overhauling how you sign in, manage settings, and protect your accounts - Help Net Security Ubuntu 26.04 LTS delivers memory-safe system tools and live patching for Arm servers - Help Net Security OpenAI’s GPT-5.5 is out with expanded cybersecurity safeguards - Help Net Security AI is speeding up nation-state cyber programs - Help Net Security A study of 1,000 Android apps finds a privacy policy logging gap - Help Net Security IT spending to hit $6.31 trillion record, thanks to AI - Help Net Security Where AI in CI/CD is working for engineering teams - Help Net Security With AI's help, North Korean hackers stumbled into a near-undetectable attack - Help Net Security Hacker with a special interest in breaching sports institutions ends behind bars - 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Help Net Security Product showcase: Syncthing for secure, private file synchronization - Help Net Security Week in review: Acrobat Reader flaw exploited, Claude Mythos offensive capabilities and limits Google wipes out 602 million scam ads with Gemini on duty Researcher drops two more Microsoft Defender zero-days, all three now exploited in the wild GitLab 18.11 brings agentic AI to security fixes, CI pipelines, and delivery analytics Liongard upgrades LiongardIQ with AI access, live asset data, and deeper discovery Mozilla challenges enterprise AI providers with Thunderbolt, open-source AI client under your control Codex can now operate between apps. 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ArmorCode gives security teams AI workers for exposure and remediation
Industry New · 2026-05-20 · via Help Net Security

ArmorCode has announced Anya Agents, a new agentic AI framework delivered on the patented ArmorCode Agentic AI Platform that enables organizations to operationalize AI-driven security workflows at enterprise scale.

Built on ArmorCode’s Context Risk Graph, Anya Agents help security teams move beyond generic AI assistants by turning unified security and business context into purpose-built AI workers for triage, exposure analysis, remediation, validation, and compliance.

Traditional vulnerability management is no longer valid. The tsunami of high fidelity vulnerabilities generated by frontier AI models, AI-generated code, and AI-assisted security research are accelerating the discovery, validation, and potential exploitation of infrastructure and software flaws. Historically, organizations focused primarily on critical findings or vulnerabilities with high CVSS scores. But frontier model-driven attacks are changing the game.

Attack chains can combine a low-severity infrastructure vulnerability with a low-severity application flaw, turning what appear to be isolated risks into a critical breach. Teams also face a flood of findings, without the context, ownership or time needed to remediate the risks that matter most. While many organizations are experimenting with public LLMs and AI assistants, most workflows remain inconsistent, difficult to scale, and disconnected from the underlying business context needed to meaningfully reduce risk.

“The volume of vulnerabilities coming at us is not going to slow down, and AI-discovered exploit chains are going to make it even harder to protect ourselves,” said Renan Dias, Director of Engineering for VTS. “We don’t need more dashboards. We need agents that can actually do work against our environment. ArmorCode’s approach with Anya Agents is the kind of capability our team needs, and we’re happy to be working with them.”

Anya Agents address this challenge by delivering reusable, role-aware AI workers that are grounded in insights from ArmorCode’s Context Risk Graph, combining tool findings, CVE databases, asset inventories, software supply chain data, threat intel feeds, and business context. Rather than functioning as generic chatbots, each agent is scoped for a specific security workflow with preconfigured prompts, defined context, and bounded actions to produce consistent outcomes. Customers are now able to infinitely augment their security teams to tackle the tsunami of vulnerabilities coming from frontier AI models.

ArmorCode Anya Agents features and benefits

Powered by the ArmorCode Agentic AI Platform, Anya Agents are designed to help organizations reduce manual effort, improve prioritization, and accelerate remediation decisions across increasingly complex environments. Initial Anya Agents available at launch include:

  • Remediation Agent: Generates remediation guidance grounded in metadata, code context, and environmental risk factors for a specific finding or groups of findings to show potential vulnerability changing risks.
  • Zero-Day Exposure Hunting Agent: Assesses organizational exposure to newly disclosed CVEs by correlating threat intelligence, software supply chain exposure data, affected assets, and existing findings. This helps teams quickly understand whether a new vulnerability is relevant to their environment and what action may be required.
  • Finding Overview Agent: Summarizes findings in plain language with the operational and business context security teams need to act quickly.
  • Risk Analyzer Agent: Explains the reasoning behind risk scores and prioritization decisions across findings, groups, and business units, making risk-based decisions more transparent, defensible, and actionable.

“Agentic AI now makes it possible to reduce AI risks, and teams need dedicated AI workers rather than assistants to maximize value,” said Mark Lambert, Chief Product Officer, ArmorCode. “Anya Agents operationalize AI directly inside security workflows, helping organizations move from fragmented experimentation to scalable, repeatable security operations grounded in real enterprise risk context.”

Anya Agents can be invoked directly within ArmorCode workflows or externally through its APIs and MCP server integrations, enabling organizations to operationalize AI-driven workflows across their broader security and development programs. The framework also allows customers to customize and build agents tailored to their own operational requirements, risk models and governance needs.