ARES / ADVERSARIAL EXPOSURE VALIDATION
Ares connects weaknesses into attack paths and proves what they make possible.
Ares continuously tests your applications, APIs, mobile apps, and AI systems as they change. It follows attack paths, exploits weaknesses, and proves what an attacker could actually reach.
Coordinated AI agents extend your testing capacity, turning evidence into decisions about what to fix. Run Ares within your own infrastructure, even in disconnected environments, keeping sensitive data under your control.
Explore Ares
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ARES / ADVERSARIAL EXPOSURE VALIDATION
Ares connects weaknesses into attack paths and proves what they make possible.
Ares continuously tests your applications, APIs, mobile apps, and AI systems as they change. It follows attack paths, exploits weaknesses, and proves what an attacker could actually reach.
Coordinated AI agents extend your testing capacity, turning evidence into decisions about what to fix. Run Ares within your own infrastructure, even in disconnected environments, keeping sensitive data under your control.
Explore Ares
ARES / ADVERSARIAL EXPOSURE VALIDATION
Ares connects weaknesses into attack paths and proves what they make possible.
Ares continuously tests your applications, APIs, mobile apps, and AI systems as they change. It follows attack paths, exploits weaknesses, and proves what an attacker could actually reach.
Coordinated AI agents extend your testing capacity, turning evidence into decisions about what to fix. Run Ares within your own infrastructure, even in disconnected environments, keeping sensitive data under your control.
Explore Ares
PRESS RELEASES
Latest announcements
Company updates, research notes, and product milestones from the Assail team.
Assail Expands Reaper’s Sovereign Deployment Architecture to AWS GovCloud and Google Cloud Assured Workloads
Assail Anywhere brings Reaper’s full autonomous offensive AI platform, including the AI model, inside government and national security cloud environments
Product
Assail Signs Qanapi to Five-Year, $4.125 Million Contract
New deployment pathways bring operational resilience to private cloud and disconnected environments.
Product
Assail Redefines Offensive AI Cybersecurity and Risk Evaluation at Black Hat
Addressing the proliferation of offensive AI tools, Assail Founder and CEO will deliver a presentation discussing a new framework for evaluating harness orchestration and governance over raw LLM capabilities.
Conferences
Continuous adversarial pressure only matters if it changes something. Assail turns proof into prioritized action, validated remediation, and decision advantage held on your side of the wire.
Assail’s systems do more than generate test cases or recommend attacks. They evaluate the environment, develop a plan, select tools, interpret results, adapt to new information, and determine what to do next, prosecuting continuous adversarial pressure rather than running a test once and stopping. This is autonomous offensive judgment: not another scanner, but an operator that can reason, coordinate, adapt, and prove.
Judgment doesn’t end when an action is taken. Assail’s systems review their own missions in real time: the chain of thought, the decisions made, and the outcomes those decisions produced. When a decision proves wrong, they correct it on the spot and record what they learned, forming new pathways much like neuroplasticity in the human brain. Every run sharpens the next one, without waiting on human retraining or intervention. The operator you deploy today is not the operator you have next quarter. It compounds.
The model may provide knowledge and reasoning capability, but the harness determines how that capability is used. The harness governs what the system is permitted to test, which tools it can use, how it interprets results, and how it selects the next action. It controls how the system handles uncertainty, when it escalates, and when it stops, along with what evidence it preserves and how human review is incorporated. The future of autonomous cybersecurity will not be determined only by which organization has access to the most powerful model. It will be determined by who can build the most capable, governed, and accountable operator around that model.
Assail is built around proof. A finding without validated exploitation is still an assumption. A vulnerability is not meaningful simply because a scanner assigned it a high severity score. Assail determines whether the condition can actually be exploited, chained with other weaknesses, and used to create impact.
Autonomous offensive capability should never require surrendering control of your environment. With Assail Anywhere, the entire platform, including the AI model, deploys on-premises, inside isolated and air-gapped networks, in your own cloud, or through our SaaS. Assail is the first AEV company to enable full AI and data sovereignty, so continuous adversarial pressure runs where your data and your security requirements already live.
Autonomous testing should not remove accountability. Assail supports defined scope, customer controls, evidence review, and human decision-making. The goal is to increase testing speed and coverage without eliminating governance.
Assail’s systems do more than generate test cases or recommend attacks. They evaluate the environment, develop a plan, select tools, interpret results, adapt to new information, and determine what to do next, prosecuting continuous adversarial pressure rather than running a test once and stopping. This is autonomous offensive judgment: not another scanner, but an operator that can reason, coordinate, adapt, and prove.
Judgment doesn’t end when an action is taken. Assail’s systems review their own missions in real time: the chain of thought, the decisions made, and the outcomes those decisions produced. When a decision proves wrong, they correct it on the spot and record what they learned, forming new pathways much like neuroplasticity in the human brain. Every run sharpens the next one, without waiting on human retraining or intervention. The operator you deploy today is not the operator you have next quarter. It compounds.
The model may provide knowledge and reasoning capability, but the harness determines how that capability is used. The harness governs what the system is permitted to test, which tools it can use, how it interprets results, and how it selects the next action. It controls how the system handles uncertainty, when it escalates, and when it stops, along with what evidence it preserves and how human review is incorporated. The future of autonomous cybersecurity will not be determined only by which organization has access to the most powerful model. It will be determined by who can build the most capable, governed, and accountable operator around that model.
Assail is built around proof. A finding without validated exploitation is still an assumption. A vulnerability is not meaningful simply because a scanner assigned it a high severity score. Assail determines whether the condition can actually be exploited, chained with other weaknesses, and used to create impact.
Autonomous offensive capability should never require surrendering control of your environment. With Assail Anywhere, the entire platform, including the AI model, deploys on-premises, inside isolated and air-gapped networks, in your own cloud, or through our SaaS. Assail is the first AEV company to enable full AI and data sovereignty, so continuous adversarial pressure runs where your data and your security requirements already live.
Autonomous testing should not remove accountability. Assail supports defined scope, customer controls, evidence review, and human decision-making. The goal is to increase testing speed and coverage without eliminating governance.
Assail’s systems do more than generate test cases or recommend attacks. They evaluate the environment, develop a plan, select tools, interpret results, adapt to new information, and determine what to do next, prosecuting continuous adversarial pressure rather than running a test once and stopping. This is autonomous offensive judgment: not another scanner, but an operator that can reason, coordinate, adapt, and prove.
Judgment doesn’t end when an action is taken. Assail’s systems review their own missions in real time: the chain of thought, the decisions made, and the outcomes those decisions produced. When a decision proves wrong, they correct it on the spot and record what they learned, forming new pathways much like neuroplasticity in the human brain. Every run sharpens the next one, without waiting on human retraining or intervention. The operator you deploy today is not the operator you have next quarter. It compounds.
The model may provide knowledge and reasoning capability, but the harness determines how that capability is used. The harness governs what the system is permitted to test, which tools it can use, how it interprets results, and how it selects the next action. It controls how the system handles uncertainty, when it escalates, and when it stops, along with what evidence it preserves and how human review is incorporated. The future of autonomous cybersecurity will not be determined only by which organization has access to the most powerful model. It will be determined by who can build the most capable, governed, and accountable operator around that model.
Assail is built around proof. A finding without validated exploitation is still an assumption. A vulnerability is not meaningful simply because a scanner assigned it a high severity score. Assail determines whether the condition can actually be exploited, chained with other weaknesses, and used to create impact.
Autonomous offensive capability should never require surrendering control of your environment. With Assail Anywhere, the entire platform, including the AI model, deploys on-premises, inside isolated and air-gapped networks, in your own cloud, or through our SaaS. Assail is the first AEV company to enable full AI and data sovereignty, so continuous adversarial pressure runs where your data and your security requirements already live.
Autonomous testing should not remove accountability. Assail supports defined scope, customer controls, evidence review, and human decision-making. The goal is to increase testing speed and coverage without eliminating governance.
ARES
Continuous autonomous red teaming. Evidence behind every risk.
Ares gives security teams continuous autonomous red teaming across web applications, APIs, and mobile apps. Coordinated AI agents discover weaknesses, pursue the paths that matter, and validate what an attacker could actually reach.
Ares tests authenticated applications through your existing identity provider, tracks changes across known and shadow APIs, and delivers the evidence behind each confirmed risk. Prioritize fixes based on demonstrated impact.
ARES
Continuous autonomous red teaming. Evidence behind every risk.
Ares gives security teams continuous autonomous red teaming across web applications, APIs, and mobile apps. Coordinated AI agents discover weaknesses, pursue the paths that matter, and validate what an attacker could actually reach.
Ares tests authenticated applications through your existing identity provider, tracks changes across known and shadow APIs, and delivers the evidence behind each confirmed risk. Prioritize fixes based on demonstrated impact.
ARES
Continuous autonomous red teaming. Evidence behind every risk.
Ares gives security teams continuous autonomous red teaming across web applications, APIs, and mobile apps. Coordinated AI agents discover weaknesses, pursue the paths that matter, and validate what an attacker could actually reach.
Ares tests authenticated applications through your existing identity provider, tracks changes across known and shadow APIs, and delivers the evidence behind each confirmed risk. Prioritize fixes based on demonstrated impact.
Adversarial AI is moving faster than the literature covering it. Assail publishes original research to close that gap: new attack techniques, real exploitation of AI and API surfaces, and the methods behind autonomous offensive security.
Adversarial AI is moving faster than the literature covering it. Assail publishes original research to close that gap: new attack techniques, real exploitation of AI and API surfaces, and the methods behind autonomous offensive security.
Javelin: Self-Play and Adversarial Co-Evolution in Multi-Agent Offensive Security Systems
Large Language Model (LLM) agents have demonstrated remarkable capabilities in complex reasoning tasks, yet their application to offensive cybersecurity remains constrained by the scarcity of labeled vulnerability datasets and the rapidly evolving threat landscape.
AI
Read
WHAT WE DO?
TAILORED OFFENSIVE SECURITY PROGRAMS BUILT FOR THE FUTURE OF ENTERPRISE DEFENSE.
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Assail Anywhere: the entire platform, including the AI model, deployable on-premises, in isolated and air-gapped networks, in your own cloud, or via SaaS. The first AEV company to enable full AI and data sovereignty.
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WHAT WE DO?
TAILORED OFFENSIVE SECURITY PROGRAMS BUILT FOR THE FUTURE OF ENTERPRISE DEFENSE.
01
Assail Anywhere: the entire platform, including the AI model, deployable on-premises, in isolated and air-gapped networks, in your own cloud, or via SaaS. The first AEV company to enable full AI and data sovereignty.
02
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WHAT WE DO?
TAILORED OFFENSIVE SECURITY PROGRAMS BUILT FOR THE FUTURE OF ENTERPRISE DEFENSE.
01
Assail Anywhere: the entire platform, including the AI model, deployable on-premises, in isolated and air-gapped networks, in your own cloud, or via SaaS. The first AEV company to enable full AI and data sovereignty.
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