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Industry-first multi-agent security suite makes AppSec proactive and seamless, built directly into the new agentic era of development
ATLANTA - illiNews -- Arnica, the leading pipelineless, developer-native workflows platform, announced the official launch of its Arnie AI multi-agent security suite -- including AI SAST, the industry's most adaptive static application security testing solution, and the Agentic Rules Enforcer, the first pipelineless enforcement engine for AI-generated code. Together, these innovations empower enterprises to build software at scale while embedding security directly into every line of code that has been generated by AI.
Agentic AI code development is rapidly creating a new class of security challenges for AppSec teams. Unlike traditional development, these AI-driven agents generate and modify code dynamically, often without built-in safeguards. Deep security enforcement is rarely applied at the model level because of prohibitive token costs and buyer resistance to higher compute spend, meaning most providers ship models optimized for speed, functionality preservation, and compilability, not security.
Generic "write securely" prompts largely fail in real-world cases because every enterprise has unique security libraries, compliance rules, and context-specific vulnerabilities that AI cannot intuit. The rise of customizable rule\instruction files and per-repo security rules fragments oversight and creates inconsistency across projects. From an AppSec perspective, this introduces a dual risk: AI accelerates insecure code into production at scale while simultaneously creating a false sense of assurance that security can be delegated to the model. Agentic AI allows for hyper-fast code development, but without strict policy enforcement, review gates, and security guardrails, organizations are essentially letting undertrained developers commit code at machine speed. This dynamic is overwhelming AppSec teams, who now must contend not only with traditional vulnerabilities but also with new classes of AI-induced errors, insecure defaults, and unverified dependencies. In short, agentic AI is amplifying the attack surface faster than security controls can adapt, forcing a rethinking of how enterprises integrate secure SDLC practices into code-generation tools. Arnie AI is here to solve this new and unique problem.
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"As AI systems increasingly write and modify production code, the industry is confronting a new kind of security gap -- one born not of human error, but of machine speed," said Tyler Shields, Principal Analyst at Omdia. "Solutions like Arnica's Arnie AI that proactively secure AI-generated code represent the next frontier in application security, where policy enforcement and continuous validation must evolve to match the scale and autonomy of agentic development."
Arnie is the developer companion for securing the agentic era of coding. Built to govern and secure AI-driven coding, Arnie brings together multiple capabilities under one identity, including AI SAST and Agentic Rules Enforcement. By unifying these features, Arnie acts as a governor across the development lifecycle, ensuring that every line of AI-assisted or agentic code is generated and reviewed with secure practices governed by standards determined by the organization, such as adhering to OWASP Application Security Verification Standard (ASVS).
AI SAST Overview:
AI SAST merges Arnica's deterministic static analysis with the adaptability of advanced AI models. Unlike traditional code scanning tools that only catch known patterns, AI SAST contextualizes developer intent, detects emerging risks, and suggests secure fixes without slowing development.
Key capabilities include:
By blending deterministic precision with AI flexibility, AI SAST shrinks vulnerability backlogs, improves developer experience, and accelerates remediation paths.
Agentic Rules Enforcer Overview:
As AI coding assistants like GitHub Copilot, Claude, Cursor, and Gemini become core to modern development, enterprises face new risks. Arnica's Agentic Rules Enforcer solves this challenge by embedding version-controlled secure coding policies directly into every repository. Unlike traditional guardrails applied post-development, Arnie enforces rules as code is generated, stopping vulnerabilities before they exist.
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Key capabilities include:
By shifting security earlier in the lifecycle, Arnica enables developers to stay fast while AppSec teams gain control, consistency, and relief from mounting remediation backlogs.
"AI is rewriting the rules of software development. At Arnica, we believe security must evolve just as fast," said Nir Valtman, CEO at Arnica. "With AI SAST and the Agentic Rules Enforcer, we're giving organizations the ability to align velocity with trust, embedding security directly into both human-written and AI-generated code."
AI SAST is available today in closed preview, while the Agentic Rules Enforcer is available in preview for Arnica Business+ customers. Arnica will be at OWASP 2025 Global AppSec conference, where they will be demonstrating Arnie's capabilities in booth D1 at the Marriott Marquis in Washington, DC, Nov. 6-7
For more information about Arnie AI and Arnica's suite of developer-native AppSec solutions, visit https://www.arnica.io/solutions/arnie-ai.
###
About Arnica
Arnica, headquartered in Atlanta, Georgia, powers the most effective application security programs in the world. At Arnica, we envision and build toward a future in which software development is unimpeded by risk. We build solutions that secure the software development lifecycle, align to developers rather than disrupt them, remove barriers to security by simplifying risk mitigation, and are loved by both security and developers. For more information on Arnica, visit www.arnica.io
Agentic AI code development is rapidly creating a new class of security challenges for AppSec teams. Unlike traditional development, these AI-driven agents generate and modify code dynamically, often without built-in safeguards. Deep security enforcement is rarely applied at the model level because of prohibitive token costs and buyer resistance to higher compute spend, meaning most providers ship models optimized for speed, functionality preservation, and compilability, not security.
Generic "write securely" prompts largely fail in real-world cases because every enterprise has unique security libraries, compliance rules, and context-specific vulnerabilities that AI cannot intuit. The rise of customizable rule\instruction files and per-repo security rules fragments oversight and creates inconsistency across projects. From an AppSec perspective, this introduces a dual risk: AI accelerates insecure code into production at scale while simultaneously creating a false sense of assurance that security can be delegated to the model. Agentic AI allows for hyper-fast code development, but without strict policy enforcement, review gates, and security guardrails, organizations are essentially letting undertrained developers commit code at machine speed. This dynamic is overwhelming AppSec teams, who now must contend not only with traditional vulnerabilities but also with new classes of AI-induced errors, insecure defaults, and unverified dependencies. In short, agentic AI is amplifying the attack surface faster than security controls can adapt, forcing a rethinking of how enterprises integrate secure SDLC practices into code-generation tools. Arnie AI is here to solve this new and unique problem.
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"As AI systems increasingly write and modify production code, the industry is confronting a new kind of security gap -- one born not of human error, but of machine speed," said Tyler Shields, Principal Analyst at Omdia. "Solutions like Arnica's Arnie AI that proactively secure AI-generated code represent the next frontier in application security, where policy enforcement and continuous validation must evolve to match the scale and autonomy of agentic development."
Arnie is the developer companion for securing the agentic era of coding. Built to govern and secure AI-driven coding, Arnie brings together multiple capabilities under one identity, including AI SAST and Agentic Rules Enforcement. By unifying these features, Arnie acts as a governor across the development lifecycle, ensuring that every line of AI-assisted or agentic code is generated and reviewed with secure practices governed by standards determined by the organization, such as adhering to OWASP Application Security Verification Standard (ASVS).
AI SAST Overview:
AI SAST merges Arnica's deterministic static analysis with the adaptability of advanced AI models. Unlike traditional code scanning tools that only catch known patterns, AI SAST contextualizes developer intent, detects emerging risks, and suggests secure fixes without slowing development.
Key capabilities include:
- Real-time vulnerability detection on push to feature branches, in pull requests and on a scheduled basis
- AI-driven, context-aware fix suggestions to reduce mean time to remediation
- Deterministic and auditable results for compliance and trust
- Comprehensive coverage across repositories and branches without bottlenecks
By blending deterministic precision with AI flexibility, AI SAST shrinks vulnerability backlogs, improves developer experience, and accelerates remediation paths.
Agentic Rules Enforcer Overview:
As AI coding assistants like GitHub Copilot, Claude, Cursor, and Gemini become core to modern development, enterprises face new risks. Arnica's Agentic Rules Enforcer solves this challenge by embedding version-controlled secure coding policies directly into every repository. Unlike traditional guardrails applied post-development, Arnie enforces rules as code is generated, stopping vulnerabilities before they exist.
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Key capabilities include:
- Centralized, version-controlled AI coding rules aligned with OWASP ASVS and corporate standards
- Compatibility across all major AI coding assistants
- Pipelineless architecture that guarantees 100% coverage without developer opt-in
- Real-time enforcement that prevents flaws during code creation
By shifting security earlier in the lifecycle, Arnica enables developers to stay fast while AppSec teams gain control, consistency, and relief from mounting remediation backlogs.
"AI is rewriting the rules of software development. At Arnica, we believe security must evolve just as fast," said Nir Valtman, CEO at Arnica. "With AI SAST and the Agentic Rules Enforcer, we're giving organizations the ability to align velocity with trust, embedding security directly into both human-written and AI-generated code."
AI SAST is available today in closed preview, while the Agentic Rules Enforcer is available in preview for Arnica Business+ customers. Arnica will be at OWASP 2025 Global AppSec conference, where they will be demonstrating Arnie's capabilities in booth D1 at the Marriott Marquis in Washington, DC, Nov. 6-7
For more information about Arnie AI and Arnica's suite of developer-native AppSec solutions, visit https://www.arnica.io/solutions/arnie-ai.
###
About Arnica
Arnica, headquartered in Atlanta, Georgia, powers the most effective application security programs in the world. At Arnica, we envision and build toward a future in which software development is unimpeded by risk. We build solutions that secure the software development lifecycle, align to developers rather than disrupt them, remove barriers to security by simplifying risk mitigation, and are loved by both security and developers. For more information on Arnica, visit www.arnica.io
Source: PRIME|PR
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